Anthropic

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our mission on the Connectivity team is to make Claude the most connected AI. As agents take on more real-world work, we're taking a leading role in defining how they get access to external systems — safely, with the right permissions, and in ways enterprises can trust. We ship standards and services used by claude.ai, Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs. We're looking for experienced software engineers to join Connectivity. The team spans San Francisco and London, and you'll work closely with partner teams across Anthropic to deliver impact across all of our products. You'll work on problems where reliability and enterprise trust are critical. This means OAuth at scale, admin controls that let IT govern what agents can do, and proxy infrastructure that is reliable by default. What you'll do You'll design, build, and operate the core connectivity infrastructure behind external tool calls — the MCP proxy and the OAuth and token management systems that keep connections authenticated. You'll own reliability for infrastructure that other teams and external partners depend on, including SLOs, on-call, incident response, and postmortems. You'll build the admin controls and permission models that let enterprise IT govern what agents can do, and contribute to the MCP standard and its ecosystem, including the spec and the official Python and TypeScript SDKs. You'll turn ambiguous outcomes into shipped, scoped work, dogfooding what you build in the products that consume it. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day. You might be a good fit if you: - Experience as a backend or platform engineer - Familiarity with using AI tools as part of the software development process - Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use - Take full ownership of your work — from design through build, deployment, and operations, to iterating on and improving your product - Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in both 0 → 1 and more mature team or company settings - Experience operating production distributed systems, with an understanding of what reliability, observability, and incident response require at scale - Excellent communication skills, with the ability to build consensus across teams and time zones Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building data center campuses at a pace where several are under construction at once, each moving through design, construction, commissioning, and turnover to an operating partner. Security scope on those projects (the physical protections, the systems that enforce them, and the operational readiness of the company that will run the site) has to be delivered as deliberately as the buildings themselves. As Lead for Data Center Security Delivery, you will own security through that entire arc for every campus under construction: from groundbreaking, through construction-phase security, through commissioning and milestone acceptance, to a clean handover into full operation. You are the single point of accountability for "the site's security is actually ready", and you will verify that the operating partner has its people, processes, systems, and contractual security obligations genuinely in place before a site goes live. This is a delivery role, not a watch-the-dashboard role. You'll absorb the day-to-day noise of active construction sites (schedule slips, design changes, vendor coordination, escalations) so the rest of DCSE can stay focused on steady-state operations and systems. And where DCSE's requirements or processes don't survive contact with a real construction schedule, you will have the authority, and the expectation, to rewrite them. Role boundaries. This seat is distinct from DCSE's regional security operations leads and from the team's systems-engineering roles. The operations leads own steady-state regional programs (vendors, guard force, incident response) once a site is running; the systems roles build platforms and tooling. This role owns the delivery arc: every site's security scope from construction start through commissioning, acceptance, and handover, after which accountability transfers to operations. Key responsibilities You will own the security delivery program across every Anthropic campus under construction: concurrently, from groundbreaking to handover. - Construction-phase security delivery: temporary site security, contractor vetting and access, protection of installed equipment, and coordination with general contractors and site teams on every active build. - Milestone and commissioning acceptance: define and maintain the security acceptance criteria at each construction milestone and commissioning gate; run or attend acceptance events (FAT/SAT, punch lists); issue or withhold the security sign-off. - Operator readiness verification: build and run a structured, evidence-based readiness process proving the operating company is genuinely ready before handover: staffing and guard force in place, SOPs adopted, security systems commissioned and monitored, contractual security obligations demonstrably met. - Clean handover to operations: own the turnover package (as-builts, test records, credentials, punch-list closure, residual-risk register) and the defined transition from construction-phase to operational security ownership. - Requirements and process authority: rewrite DCSE's construction-security requirements, delivery processes, and acceptance frameworks where they fail in the field, and codify what works, so each build is cleaner than the last. - Representation and escalation: represent security in design reviews, owner-architect-contractor (OAC) meetings, and change management; coordinate integrators, general contractors, and operator counterparts on security system installation, testing, and commissioning; surface schedule and readiness risks early, with options, to DCSE leadership and cross-functional partners. Minimum qualifications - Have personally delivered the physical security scope on new-build data center (or comparable critical-infrastructure) construction projects (design reviews through construction, commissioning, and turnover to operations) and can name the sites and your role on them. - Have run milestone- or commissioning-acceptance processes: FAT/SAT, punch lists, turnover documentation, formal sign-off. - Have held an operator, landlord, or vendor accountable to contractual security obligations, with evidence rather than assurances. - Are comfortable being the person who says "not ready", and can do it in a way that produces a plan rather than a standoff. - Can absorb the operational noise of multiple concurrent construction sites and still drive each one toward its handover date. - Can author requirements, standards, and process documents that get adopted, and are willing to rewrite your own when they fail in the field. - Work through influence with general contractors, integrators, operators, and internal partners; you shape decisions rather than block them. Preferred qualifications - CPP (Certified Protection Professional) or PSP (Physical Security Professional) certification, or commissioning credentials. - Hyperscaler or major colocation new-build delivery experience. - Experience on both sides of an operator/tenant relationship. - Construction management or owner's-representative background. - Experience in regulated or high-assurance environments. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 - $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The IT Operations team keeps Anthropic running. We want every employee to do their best work without friction. We're hiring an IT Support Engineer who pairs strong technical skills with a service mindset and good judgment. Anthropic is growing fast, and IT needs to keep pace. That means onboarding at scale, automating repetitive work (including with Claude), and improving the day-to-day employee experience. You'll handle support across our mostly macOS environment and help with the operational work that lets us scale. You'll work closely with IT Engineering and Security, with room to grow into more technical infrastructure work over time. This isn't a scripted support role. You'll have real ownership, use your judgment to improve our processes, and grow with the team as we scale. Key responsibilities - Triage and resolve issues across hardware, software, networking, and accounts, mostly through our ticketing system, plus Slack and in-person - Diagnose and fix issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian) - Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement - Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs) - Handle escalations that need cross-team coordination - Join an on-call rotation for urgent issues outside business hours - Provide hands-on support for user technology, AV systems, conference rooms, and printers - Communicate clearly with users at every technical level - Write and maintain internal documentation, including runbooks, how-to guides, and knowledge base articles - Spot patterns in support requests, surface recurring issues, and flag opportunities to automate - Help streamline onboarding and other high-volume operations as we scale - Contribute to automation efforts - Maintain and improve device management, identity, and access systems - Write scripts (Bash, Python) to automate repetitive tasks Minimum qualifications - Hands-on IT support experience, ideally in a fast-paced environment - Experience supporting macOS endpoints, and comfortable supporting ChromeOS, iOS, and Android - Experience with Google Workspace administration - Experience with Slack administration, including workspace management, permissions, and troubleshooting - Experience supporting and administering other SaaS tools - Understanding of identity and access fundamentals: SSO, MFA, directory services - Familiarity with MDM fundamentals and endpoint management concepts - Basic scripting (Bash or Python) for automation - Strong troubleshooting skills, with a methodical and persistent approach - Clear communicator who enjoys helping people solve problems - Take ownership of problems and follow through until they're resolved Preferred qualifications - Familiarity with zero-trust security concepts and endpoint security tooling - Networking basics: DNS, DHCP, VPNs - Experience with IT projects beyond day-to-day support, such as migrations, tool rollouts, or process redesigns - Experience using AI tools to improve personal or team productivity - Interest in developing deeper technical skills and taking on more complex systems administration over time The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £130,000 - £175,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is hiring an EHS Specialist to lead Environment, Health and Safety across our EMEA region. As Anthropic continues to scale globally — with a fast-growing footprint across the UK, Ireland, and continental Europe — we're investing in EHS expertise on the ground, where the work happens. We're looking for someone who's been the EHS go-to in a complex, multi-country environment — comfortable owning the day-to-day in their region while helping a small, growing team write the standards that make global EHS work at scale. You'll handle hands-on work — inspections, investigations, occupational health cases, committees, training — and you'll co-author the EMEA-tuned versions of programs we're building to meet UK, Irish, and EU regulatory expectations. You won't be doing this alone. You'll partner closely with the EHS Lead in the US, and with our growing in-region Workplace, Security, HR, and Legal teams. As we continue to expand the broader Global Safety and Security team in EMEA, you'll have peers around you to collaborate with on shared work. Responsibilities You'll own EHS execution across our EMEA sites — running onsite inspections, hazard and risk assessments, and ergonomic reviews on a regular cadence. You'll investigate workplace incidents, injuries, and illnesses, and manage occupational health cases through their lifecycle in coordination with our occupational health providers, HR, and Legal partners. You'll be the in-region face of EHS for our employees and our partners. That means standing up and supporting health and safety committees and emergency response teams in line with each jurisdiction's requirements (UK SRSCR, French CSE, Irish safety reps, and others as we expand), and engaging with landlords, building management, and contractors to make sure shared environments are safe and meet our standards. You'll co-build the EMEA versions of Anthropic's core EHS programs — emergency action plans, fire safety, ergonomics, contractor and vendor safety, occupational health, and training. Where we have a global standard, you'll tune it for UK, Ireland, France, Germany, and other EU markets. Where we don't have one yet, you'll help write it. You’ll serve as the in-region owner for fire safety and fire compliance - coordinating Fire Risk Assessments, tracking remediation, and supporting Responsible Person / duty-holder requirements under UK, Irish, and other European fire safety law. You'll lead our internally-facing environmental health work in the region — managing hazardous materials onsite, supporting our indoor air quality program, water safety (including Legionella), and lighting standards as they relate to ergonomics and design. You'll also help coordinate environmental reporting and data collection specific to our internal operations (sites we occupy directly — not data center or compute infrastructure). You'll support new-country and new-office stand-ups in EMEA — running pre-opening EHS assessments, advising on design and fit-out, and getting the right local programs in place before we go live. You'll deliver and coordinate EHS training to EMEA employees, manage EMEA EHS vendor relationships (occupational health, ergonomics, training, audit), and keep our EHS documentation, registers, and reporting systems accurate and current for the region. You may be a good fit if you - Have 7+ years of experience in a role with similar responsibilities, with meaningful time spent owning EHS for a region or as the lead in your geography - Have strong working knowledge of EHS regulatory frameworks across the UK and Ireland (HSE, HSA), and ideally additional EU jurisdictions (France, Germany, Netherlands) - Have working knowledge of fire safety regulation and compliance across Europe — e.g. the UK Regulatory Reform (Fire Safety) Order, Irish and German equivalents — including Fire Risk Assessments and duty-holder responsibilities - Are comfortable being the EHS expert in the room — translating regulatory requirements into clear decisions, and pushing back when something isn't safe - Are passionate about workplace EHS, and bring that energy to the people you work with - Have an ability to motivate and persuade others to collaborate, take action, and engage with EHS-related programs - Are resilient and adaptable in fast-paced, dynamic environments — comfortable with ambiguity and able to prioritize when everything looks urgent - Write clear, useful SOPs, playbooks, and program documents, and can create engaging presentations and training content - Have hands-on experience with software tools for EHS incident reporting, risk assessment, learning management, and related functions Strong candidates may also have - A Bachelor's degree in Occupational Health and Safety, Environmental Science, or another EHS-related field - NEBOSH National or International Diploma in Occupational Health and Safety - Chartered or Graduate membership of IOSH (CMIOSH, GradIOSH); CIEH or comparable Irish/EU equivalent - Familiarity with ISO 45001 (Occupational Health and Safety Management Systems) and ISO 14001 (Environmental Management Systems) - Experience with French CSE/CHSCT processes, DUERP, or German BetrSichV requirements - Background in occupational health, fire safety, or industrial hygiene - Experience standing up EHS programs for new offices or new countries - Excellent computer skills — quick to pick up new applications and systems at the user and/or administrator level Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £110,000 - £140,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with top enterprises, unlocking new value streams throughout their business. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: - Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch - Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns - Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge - Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience - Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you: - 5+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach - A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions - Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups - Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders - Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives - A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player - A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities - A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 - $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an AV Engineer based in our London office, you'll design and implement the systems that enable world-class collaboration and communication across offices in the EMEA region. This role is critical as we rapidly expand our physical footprint, with plans for multiple new offices and expansions over the coming years. You'll be responsible for architecting AV solutions from concept through commissioning, ensuring our conference rooms, event spaces, and collaboration areas provide frictionless experiences that enable our teams to advance AI safety research. You'll help establish standards and systems that scale efficiently while pushing the boundaries of what's possible in workplace collaboration technology. This is an opportunity to shape how a cutting-edge AI research organization communicates and collaborates, building infrastructure that supports everything from small team meetings to company-wide all-hands broadcasts reaching thousands of remote participants. Responsibilities - Lead AV design, procurement, and programming for new office builds, expansions, and retrofits across our global portfolio - Create and maintain AV system designs including schematic drawings, line diagrams, and elevation plans - Program and commission AV systems to meet specific use cases and user requirements - Execute successful "first day of business" deployments for new offices, ensuring all systems are operational for day-one occupancy - Attend build coordination meetings with architects, contractors, and workplace teams to drive AV requirements and integration - Innovate and test emerging AV technologies to optimize productivity and enable premium experiences for existing and upcoming spaces - Develop automated solutions to improve system reliability and reduce operational overhead - Partner with Security and IT teams to ensure AV systems meet enterprise security requirements - Create comprehensive documentation for all systems including programming logic, troubleshooting guides, and operational procedures - Oversee operations globally to ensure seamless AV operations and service delivery standards are consistently met - Manage relationships with AV integrators and vendors to ensure project success - Assist with AV operations support including event production and system maintenance as needed You may be a good fit if you - Have 8+ years of experience designing and implementing AV systems in an enterprise environment - Are proficient in control system programming utilizing the Q-Sys ecosystem or similar - Have hands-on experience with video conferencing platforms, particularly Google Meet - Can read and create AV technical drawings including schematics, line diagrams, and rack elevations - Understand digital signal processing (DSP) concepts for audio, including acoustic echo cancellation, noise reduction, EQ/dynamics, and automixing - Are familiar with enterprise video distribution, streaming technologies, and broadcast standards - Can manage multiple projects simultaneously while meeting aggressive timelines - Collaborate effectively with non-technical stakeholders to translate requirements into technical solutions - Have excellent troubleshooting skills and are comfortable diving into complex integrated systems - Care about creating exceptional user experiences through technology - Are excited about the opportunity to build scalable AV infrastructure from the ground up Strong candidates may also have - Experience with Logitech video conferencing ecosystem and management platforms - Certifications such as Q-Sys Level 2, CTS, or CTS-D - Familiarity building control scripts using Lua within Q-Sys - Background in broadcast production or live event engineering - Experience with Netgear network switches running AV over IP systems (QLAN, Dante, SMPTE 2110) - Familiarity with digital signage platforms (Appspace or similar) - Understanding of acoustical design principles for conference spaces - Track record of successful large-scale office technology deployments - Previous experience performing AV installations - Background working in high-growth technology companies - Experience with Google Workspace administration Additional Requirements - This position will require up to 8 weeks of domestic and international travel to help with new office build outs Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £210,000 - £250,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Job Description About the role As Manager, Customer Success — GSI at Anthropic, you'll lead the front-line team responsible for Anthropic's most complex and highest-leverage customer relationships: the Global Systems Integrators and consulting firms who deploy Claude inside their own firms, in addition to, extending Anthropic’s scale by deploying Claude across their clients. You'll directly coach and develop a team of 5–8 Customer Success Managers who drive value across our entire product portfolio e.g. Claude Platform, Claude Code and Claude Cowork, while building and maintaining strategic relationships with our flagship partners. You'll inherit a partially-formed team and hire the rest of it, while establishing the plays, frameworks, and operating rhythms that make GSI success repeatable and scalable. GSIs are highly matrixed organizations with multiple practices, service lines, geographies, and stakeholder groups, and success requires influence without formal authority at every level. Your team will run Claude Center of Excellence builds, Train-the-Trainer programs, and multi-practice rollouts — and you'll be the person who directs what works at one partner into a methodology that works at all of them. You'll be instrumental in defining how Anthropic scales Customer Success through partners, not just to them. Responsibilities - Directly manage and develop a team of 5–8 Customer Success Managers supporting GSI and consulting-firm partnerships across all Anthropic products. - Own the hiring plan to build the team from its current size to full strength, including sourcing strategy and onboarding, while contributing to hiring, onboarding, and training initiatives across all of Customer Success as it scales - Coach team members on GSI-specific customer success practice: navigating matrixed partner organizations, activating champions across practices, change management at firm scale, and value realization across both consumption and seat-based models - Drive team accountability to core CS metrics: expansion (consumption growth, cross-sell/upsell identification), customer health, retention (NRR), and customer satisfaction (CSAT) - Join strategic partner engagements and escalations, demonstrating executive presence with practice leaders, CTOs, and managing-partner-level stakeholders - Build and refine the GSI success methodology, including but not limited to, success planning frameworks, QBR templates, Center of Excellence blueprints, Train-the-Trainer curricula, and expansion playbooks that extend from one GSI to the next - Partner closely with Sales and the Partnerships organization to align on account strategy, facilitate handoffs, and separate the partner's internal adoption motion from the client-facing motion - Collaborate cross-functionally with Product, Engineering, and Marketing to advocate for GSI needs and translate field signal into product direction - Establish and nurture an AI-first, innovation-focused team culture, improving team processes and deepening hands-on expertise - Conduct regular 1:1s, performance reviews, and career development planning for direct reports - Own portfolio-level planning and forecasting, including renewal risk mitigation and consumption development across the GSI book - Serve as escalation point for at-risk customers and complex situations within your team's portfolio - Develop GSI advocacy assets including case studies, testimonials and reference architectures - Champion responsible AI deployment practices with customers and represent Anthropic's values in all customer interactions You may be a good fit if you have - 7+ years of experience in customer success, account management, or customer-facing roles, with 2+ years of front-line management experience - Direct experience driving success with GSIs (e.g. Accenture, IBM, Cognizant, TCS, Infosys) and/or Tier 1 consulting firms (McKinsey, BCG, Bain) - Proven track record of managing and building customer success teams in SaaS, API, or AI/ML companies - Experience managing customer portfolios at enterprise scale, including accounts with $1M–$100M+ annual contract values - Demonstrated ability to drive outcomes in highly matrixed organizations where you held no formal authority, and to coach a team to do the same - Strong understanding of both consumption-based and seat-based business models, with proven ability to drive adoption, expansion, and value realization across different pricing structures - Experience developing scalable enablement programs, repeatable delivery methodologies, or frameworks that multiple teams adopted independently of you - Technical fluency to understand AI/ML products, navigate technical conversations, and coach teams on capabilities across multiple offerings - Strong executive presence and the ability to represent Anthropic with partner technical and business leaders - Strong business acumen with the ability to articulate value, calculate ROI, and drive customer business outcomes - Ability to balance strategic thinking with tactical execution and context-switch between coaching, partner engagement, and operational planning - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality - Track record of achieving team targets for expansion, retention, and customer satisfaction - Passion for responsible AI development and helping customers transform their businesses with cutting-edge technology The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a Front End Engineer to support our Brand Web team, working at the intersection of design and development to build and maintain Anthropic's web properties. In this role, you'll contribute to shipping high-quality web experiences across anthropic.com and claude.com — from interactive marketing pages and data visualizations to internal tooling that keeps our content operations running smoothly. You'll work closely with designers, engineers, and brand and content teams to translate design intent into polished, production-ready code. Rapid prototyping is a core part of how we work here, and you'll be expected to move fast. Key responsibilities - Own implementation of design system components and page templates across our web properties, with a focus on experiences that go beyond static content — interactive pages, data visualizations, and tools that communicate complex information clearly - Work within our headless CMS architecture, helping maintain and improve content modeling, structured data workflows, and the publishing experience - Collaborate closely with designers to bridge the gap between static design and living, interactive web experiences - Contribute to internal tools that help teams author, manage, and publish content at scale - Participate in migrations and site architecture projects, taking on defined scopes within larger efforts led by senior team members - Move quickly from concept to working prototype, iterating in close collaboration with the team - Support tooling and workflow improvements that help the broader team ship faster, and contribute to documentation and knowledge sharing Minimum qualifications - Have solid experience with modern frontend frameworks, particularly Next.js or similar React-based tooling, and are comfortable working within a design system - Understand CSS at a level that lets you implement complex layouts, animations, and interactive experiences with precision - Have hands-on experience with headless CMS platforms and can navigate content modeling, structured data workflows, and the operational side of keeping a large site running - Have built internal tools or contributed to workflows that improve how teams work day-to-day, and enjoy that kind of problem-solving - Can prototype quickly and iterate confidently, moving from rough idea to working proof-of-concept without getting stuck - Communicate clearly with both designers and engineers, and care about shipping work that's both technically sound and visually refined - Have a track record of contributing to production web properties at a mid-level scope, and are motivated to grow into owning larger, more complex projects Preferred qualifications - Experience with AI-assisted development workflows - Interest in generative or programmatic design - Familiarity with localization or internationalization systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic’s Global Safety, Intelligence, and Security (GSIS) team is responsible for protecting our people, facilities, and operations worldwide. The function spans intelligence, protective services, investigations, travel and event security, security operations, environmental health and safety, and crisis management — and it’s growing quickly as Anthropic’s footprint, public profile, and threat surface all expand. We are seeking an Enterprise Intelligence Specialist to join GSIS’s Enterprise Intelligence team as a hands-on investigator and analyst. Where our Protective Intelligence team focuses on executive-centric threat assessment — individuals and groups who may pose a risk to our executives — the Enterprise Intelligence team owns the employee and enterprise-level threat picture: the geopolitical, security, and risk environment in which Anthropic operates globally. Working against priorities set by the team lead, you will investigate specific threats, actors, and events, produce finished assessments, and help keep Anthropic’s employees ahead of a rapidly evolving threat landscape and in a defensible position. This is an individual contributor role on an established team; you will not be asked to build or manage the program. You will spend most of your time investigating and analyzing threats, producing assessments and briefs, supporting the team during crises, and briefing stakeholders on your findings. The team sits at the center of how Anthropic understands and anticipates external risk, and your work will directly shape decisions about where and how we operate, travel, convene, and grow. Responsibilities - Serve as an investigator and analyst on the Enterprise Intelligence team, including via conducting investigations and behavior-based threat assessments, producing risk assessments, and intel products - Work against threat intelligence requirements and priorities set by the team lead, and contribute to the team’s production cycle and quality standards - Identify, assess, track, and investigate global threats including geopolitical instability, terrorism, crime, activism, nation-state targeting of the AI sector, and emerging security trends, including deep-dive research and OSINT collection on specific threats, actors, and events - Produce timely threat intelligence products such as risk assessments, threat briefs, travel risk guidance, and executive summaries, and translate intelligence into actionable insights for crisis teams and operational security functions - Apply the team’s methodologies for intelligence collection, analysis, validation, and dissemination, and hold your own production to the team’s quality standards - Provide investigative support to crisis management, emergency response, and business continuity efforts; serve as a key supporter during security incidents, elevated threat environments, and high-risk events; coordinate inputs before, during, and after crises to support decision-making and post-incident review - Brief security leadership and cross-functional partners with clear, concise, and decision-oriented intelligence; build trusted relationships with Legal, People, Compliance, DnR, SecEng, etc; support the team lead in enterprise risk discussions and governance forums as needed - Work day to day with external intelligence providers, industry peers, law enforcement, and government partners as appropriate; use the team’s intelligence vendors, tools, and subscriptions and give feedback on their quality, relevance, and value - Document your work in line with team workflows and quality controls, and model integrity, discretion, and continuous improvement in all intelligence work You may be a good fit if you: - Have 7+ years of professional experience in intelligence, security risk analysis, threat assessment, or a related discipline - Have demonstrated experience investigating threats and producing finished all-source intelligence in a corporate, government, military, or global security environment - Hold a bachelor’s degree in security studies, international relations, political science, intelligence, psychology, criminology, or a related field - Want to be a hands-on investigator on a team — this role does not manage people or own the program - Bring strong analytical skills with the ability to translate complex threat information into clear, actionable guidance - Have a proven ability to brief senior stakeholders and influence decision-making, with excellent written and verbal communication skills - Can manage multiple concurrent taskings — strategic products and live incidents — under tight deadlines with limited supervision - Are comfortable with a flexible schedule, including periodic after-hours availability during crises and elevated threat environments Strong candidates may also have: - A master’s degree in intelligence studies, international affairs, security studies, public policy, or a related field - CTM certification - Experience supporting global operations, international travel risk, or crisis management programs - Familiarity with intelligence tools, OSINT and threat monitoring platforms, and structured analytic frameworks - Prior experience in highly regulated or high-risk industries (e.g., technology, critical infrastructure, life sciences, finance) - A background in high-growth technology companies or startups, and specialized knowledge of risks unique to the AI sector Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $180,000 - $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s EMEA partner ecosystem of AI-native boutiques and regional Systems Integrators is increasingly how our Commercial and Digital Native Business (DNB) customers get Claude into production and grow their use of it. As a Partner Sales Manager (PSM) you will be the connection between that ecosystem and our EMEA sales organisation: you’ll own the working relationship between Commercial and DNB sales leaders and Account Executives on one side and our bench of specialist partners on the other, working alongside the Partner Account Managers who own the individual partner relationships. Your objective is customer value. You’ll engage the right specialised boutique or regional partner on the right opportunity, and hold that partner accountable for the outcomes they own — Claude enablement, deployment, time-to-value and return on investment for the customer. Partner-sourced and partner-influenced revenue matter and you’ll carry targets for them, but in this role they follow from getting customers live and successful on Claude rather than the other way round. If you have built your career in customer success, partner success or channel roles and enjoy being the person who makes Sales and partners operate as one team, this role is designed for you. We are hiring two PSMs, one based in Dublin and one in London, reporting into GTM Partnerships EMEA. Key responsibilities - Act as the primary link between Commercial and DNB sales leaders and AEs and the EMEA boutique and regional SI partner ecosystem, matching the right specialist partners to the right opportunity - Drive partner-attach on Commercial and DNB opportunities, working deal-by-deal and AE-by-AE to identify where a boutique or regional SI can accelerate a sale, an activation or a deployment - Hold engaged partners accountable for the outcomes they own — Claude enablement, deployment, time-to-value and ROI — tracking progress and escalating early where delivery is at risk - Deliver partner-sourced and partner-influenced revenue against defined targets - Stay closely coordinated with Partner Account Managers on partner capacity, capability and fit, and build direct relationships with partner leadership and delivery contacts so you always know who is strong at what across the bench - Represent Sales’ voice into the partner ecosystem and the ecosystem’s voice back into Sales, surfacing blockers, wins and patterns to both sides - Track and report partner-attach and partner-driven customer outcomes to EMEA Sales and Partnerships leadership - Help shape how the EMEA boutique and regional SI ecosystem engages with Commercial and DNB sales motions as the programme scales Minimum qualifications - Experience in customer success, partner success or channel/partner sales at a B2B software, cloud or AI company - Track record of operating between Sales and partners or delivery teams — brokering, matching and following through to a customer outcome you did not directly control - A clear, specific view of what good looks like for customer enablement, deployment, time-to-value and ROI, and demonstrated confidence holding a third party accountable for delivering it - Strong relationship-building across distinct stakeholder groups: sales leaders and AEs, partner or alliance managers, and partner-side leadership and delivery teams - Working proficiency with CRM and pipeline tooling (for example Salesforce) and with tracking and reporting adoption, deployment or usage metrics - Excellent written and verbal communication in English, including the ability to translate between sales language and delivery or partner language - Comfortable building process and structure in an ambiguous, fast-moving, early-stage motion - Genuine interest in Anthropic’s mission and the safe, responsible development of AI Preferred qualifications - 7+ years across customer success, partner success or channel sales roles - Direct experience as a Customer Success Manager or Partner Success Manager at a SaaS, cloud or AI company with a specialist or boutique partner ecosystem - Experience working with, or inside, a boutique or regional systems integrator or consultancy - Experience in a role that sat formally between Sales and delivery or partners, such as partner sales, deal desk or solutions consulting - Familiarity with consumption-based business models and usage and adoption metrics - Hands-on familiarity with Claude or other large language model products in a business setting - Multi-market EMEA experience; a second European language is an advantage Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £160,000 - £215,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We build and run the secure execution environment behind Claude's agentic capabilities. When Claude writes and runs code, browses the web, or uses a computer, that happens on infrastructure our team owns. We work at the intersection of systems engineering and security. The goal is to make untrusted code execution safe, fast, and reliable enough that product teams don't have to think about it. This is the layer between the model and the outside world, and it has to hold up at scale for every Anthropic product. We're hiring engineers who have experience building for containerized workloads and have a keen eye for building products used by millions of customers. What you'll do You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day. You might be a good fit if you: - Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent distributed systems, cloud-native products, developer tools, or external developer facing products - Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end - Are proficient in Python, Go, Rust, or similar systems languages - Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking - Take full ownership of your work—from design through deployment and operations - Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings - Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to us Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a member of the Applied AI team at Anthropic, you will drive the adoption of frontier AI by developing bespoke LLM solutions for top enterprises across Japan. You’ll leverage your customer-facing experience and technical skills to architect innovative solutions that address our customers' business needs, meet their technical requirements, and provide a high degree of reliability and safety. In collaboration with the Sales, Product, and Engineering teams, you’ll help enterprise partners incorporate leading-edge AI systems into their products. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards. Responsibilities: - Act as the primary technical advisor for prospective customers across Japan evaluating Claude. Demonstrate how Claude can be used to solve high value business problems by developing system architectures and leveraging novel prompting techniques - Partner closely with account executives to understand customer requirements. Configure Claude's capabilities to showcase how it meets the customer's needs. Develop customized pilots and prototypes, as well as evaluation suites to make the case for customer adoption - Drive technical decision making by advising on optimal setup, architecture, and integration of Claude into the customer's existing infrastructure - Recommend solutions to technical roadblocks - Support customer onboarding across Japan by working cross-functionally to ensure successful ramp and adoption. Serve as an ongoing technical advisor throughout implementation and beyond go-live - Travel occasionally to customer sites for workshops, implementation support, and building relationships - Establish a shared vision for creating solutions that enable beneficial and safe AI - Lead the vision, strategy, and execution of innovative solutions that leverage our latest models’ capabilities across Japan You may be a good fit if you have: - 4+ years of experience as a Technical Product Manager, Forward Deployed Engineer, or Platform Engineer - Native-level Japanese fluency and business-level English required - Designed novel and innovative solutions for technical platforms in a developing business area across Japan - Strong technical aptitude to partner with engineers and strong proficiency in Python required - Recent experience building production systems with large language models - The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions - Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - A love of teaching, mentoring, and helping others succeed - Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Deadline to apply: None. Applications will be reviewed on a rolling basis. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping national security and defense agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: - Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation - Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success - Support customers building with Claude Code, the Claude API, and Claude for Enterprise - Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives - Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack - Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases - Identify common integration patterns and contribute insights back to our Product and Engineering teams - Travel frequently to customer sites for workshops, technical deep dives, and relationship building - Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: - Due to U.S. Government contract requirements, this position requires U.S. citizenship and an active TS/SCI security clearance - Must have prior experience working with US national security (defense and/or intelligence) agencies - 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager - Experience navigating complex buying cycles involving multiple stakeholders - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more - Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Familiar with Python - Familiarity with common LLM frameworks and tools or a background in machine learning or data science - Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - A love of teaching, mentoring, and helping others succeed - Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $275,000 - $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As Anthropic scales across the Americas, the Regional Safety & Security Manager (RSSM), Americas is the single operational owner of safety and security execution for every Anthropic location in the region. Our global function leaders set the standards — for physical security design, enterprise risk, and environmental health & safety. The RSSM is the leader who employs those standards in the field: directing the campus security managers, the regional systems integration team, the safety practitioners, and the contract guard force that protect our people, facilities, and research every day. This is a senior leadership role with real ownership. You own the region’s safety and security posture, its people, and its budget, and you are accountable for outcomes at every site. Responsibilities - Regional operations: Own end-to-end safety and security operations for all Americas sites, protecting employees, visitors, assets, and AI research while maintaining ASL compliance. - Team leadership: Lead the region’s safety and security team — campus security managers, the Americas systems integration team, EH&S regional staff, and contracted guard-force partners. Set direction, develop talent, and manage performance. - Incident command: Serve as regional incident commander for critical incidents and emergencies; build and exercise emergency-response plans with local law enforcement and emergency services. - Standards execution: Implement and localize the global standards set by the Physical Security Design, Enterprise Risk, and EH&S global function leaders — consistently across the region, adapted to site and jurisdiction — and feed field intelligence back to keep standards sharp. - Budget and vendors: Own the regional safety and security budget and vendor portfolio; drive cost-effective coverage, guard-post standards, and service quality. - New sites: Collaborate with new-site leadership teams on security risk assessments, security design input, and pre-opening readiness, supporting the transition to steady-state operations. - Partnerships: Build trusted relationships with law enforcement, emergency services, and government partners across the region; represent Anthropic in regional public-safety forums. - Culture: Champion an approachable safety and security culture that enables — rather than restricts — a fast-moving research organization. You may be a good fit if you - Have 10+ years of progressive safety and/or security leadership, including multi-site or regional responsibility and direct people leadership. - Have led sizable teams (staff and vendor/guard forces) of 50 or more and owned meaningful operating budgets in excess of $10M. - Have served as incident commander for complex, high-stakes incidents and built emergency-response capability. - Have delivered the security scope for complex capital facility projects — a new buildout or major renovation — from design through activation. - Have built durable partnerships with law enforcement, emergency services, and government agencies. - Communicate credibly with executives and front-line staff alike, and can influence across a matrixed organization without relying on direct authority. - Are willing to travel regularly across Americas sites and support a 24/7 on-call posture. Strong candidates may have - A public-safety, law-enforcement, or military command background successfully transitioned into corporate security leadership. - Experience managing large teams of 100 or more and multimillion-dollar budgets ($25M and up) across multiple disciplines — safety programs, security technology teams, dispatch function, training and compliance. - Direct delivery of a capital security/facility project (e.g., a new operations center or campus) from design through opening. - A track record building critical-incident and workplace-violence-prevention programs. - Certifications such as CPP or PSP; ICS/FEMA incident-command training; active ASIS/InfraGard engagement. - A bachelor’s degree (master’s preferred) in a relevant field. - Experience in high-profile technology, research, or otherwise regulated environments. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 - $340,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic's Global Safety, Intelligence, and Security (GSIS) organization is seeking a highly experienced Physical Security Design Engineer and Contract Document Specialist to join the Global Design Engineering Construction (DEC) team. In this role you will author and continuously enhance the contract document basis of design (BOD) and the reusable design templates (drawings, specifications, schedules, and ancillary documents) that drive the consistency and quality of contract documents across Anthropic's global office facility build program. You will serve as the technical authority for access control, intrusion detection, video surveillance, intercommunications, radio, and network systems within the contract document set, working in close partnership with GSIS partners, Real Estate / Workplace, the Network Team, and other cross-functional stakeholders. You will gather lessons from every phase of the project lifecycle, from site/risk assessment through construction, handover, and post-occupancy audits and incident reports, and feed them back into the design documentation, using automations and AI-assisted workflows to accelerate the pace of documentation updates. Responsibilities: - Develop, maintain, and continuously enhance the contract document basis of design (BOD), initiating BOD content from the site/risk assessment and programming efforts produced at each project kickoff - Author and evolve design templates (drawings, specifications, equipment schedules, riser diagrams, and ancillary documents) for access control, intrusion detection, video surveillance, intercommunications, radio, and network systems, including variations that comply with international / regional standards and codes - Serve as the contract-document subject matter expert: review design consultant deliverables (SD/DD/CD/RIBA stage packages, specifications, equipment schedules) for accuracy, completeness, and alignment with the BOD, and drive coordination across architectural, electrical / fire alarm, network, AV, and Real Estate / Workplace disciplines - Support bid, construction, and operational handover phases through specification clarifications, RFI responses, submittal review, shop-drawing back-checks, and ensuring closeout documentation and as-builts remain consistent with the issued contract documents - Partner with GSIS (Sec Ops, Regional Security Managers, Investigations, Global Security Technology Lead), Real Estate / Workplace, the Network Team, design consultants, and security integrators to capture operational needs, site constraints, and lessons learned from every project phase and translate them into BOD and template revisions - Maintain the GSIS design library (template drawing sets, master specifications, equipment schedules, standard details) under version control, along with change-management, exception, and tracking logs, and provide regular status updates and improvement recommendations to the Physical Security DEC Manager - Implement automations and AI-assisted workflows, BIM add-ins, web-based utilities, and data-processing tools that streamline repetitive design and documentation tasks, and align QA tools and global standards across business units while documenting regional variances You may be a good fit if you: - Have a minimum of 6+ years of design engineering experience, with demonstrated ownership of contract document development for physical security and/or low-voltage systems - Hold a Bachelor's degree in Engineering, Construction Management, or a related field - Have core technical expertise in access control, intrusion detection, video surveillance, intercommunications, radio, and network systems, and can author specifications, drawings, and equipment schedules from scratch - Have a strong understanding of A/E deliverables and phases (SD/DD/CD, RIBA Stages), CSI-format specifications, equipment schedules, and construction administration submittal processes - Have demonstrated the ability to develop and implement internal tools (web applications, BIM add-ins, scripting / automation) - Are a detail-oriented technical author with strong critical thinking skills, comfortable working from incomplete inputs and converging on a defensible documented standard, and self-motivated with a strong bias for action - Have excellent written, verbal, and interpersonal skills, and are comfortable in active construction environments and with global travel for site / coordination visits when required Strong candidates may have: - CDT (Construction Documents Technologist), PSP (Physical Security Professional) or CPP (Certified Protection Professional) certification, or equivalent demonstrated knowledge of construction project delivery - Familiarity with the Revit API, BIM workflows, version control, and modern AI-assisted development tools and practices - Familiarity with Apple OS, Google Suite, Bluebeam, Revit / AutoCAD, Asana, Smartsheet, MS Project, Procore, PlanGrid, and Autodesk Construction Cloud Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $180,000 - $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic seeks a Head of Enterprise Risk to lead the programs that keep our people, operations, and mission resilient as we scale globally. Reporting to the Head of Resilience Operations, you will own a portfolio of enterprise-risk disciplines — environmental health & safety, access and life-cycle management, third-party (vendor) risk, and the security program management of new facilities — and directly oversee the specialist leaders who run them. This is a globally strategic role. You set the policy, standards, and frameworks for how enterprise risk is identified, measured, and reduced across the company, and you build the programs — and the team behind them — ahead of need. It’s a fit for a leader who thinks in systems and time horizons and turns forward-looking risk into durable operational programs. Responsibilities - Enterprise risk management: Own Anthropic’s enterprise risk framework — identify, assess, and prioritize enterprise risks, and integrate risk governance into business planning and decision-making. - Team leadership: Lead and develop a team of programmatic leaders across EH&S, access management, third-party risk, and new-facility security program management; set direction, standards, and accountable outcomes. - EH&S: Enable the global EH&S program leadership and support strategy, policy, and standards development, ensuring regulatory compliance and a strong safety culture across all operations. - Access management: Support the access and life-cycle management leader and their respective programs — access governance, provisioning standards, and auditing — across Anthropic facilities. - Third-party risk: Stand up and run a third-party (vendor) risk program — due diligence, security and safety requirements in contracts, and ongoing monitoring of critical suppliers. - New-facility programs: Facilitate development of the security program management of new facilities — from risk assessment and design requirements through pre-opening readiness and transition to operations — in partnership with regional teams, GSIS, Real Estate, and Facilities. - Horizon scanning: Within the realm of Safety & Security, anticipate emerging enterprise risks tied to rapid growth, new global offices, and frontier research environments, and advise leadership on readiness. - Cross-functional partnership: Partner across GSIS, IT, People, Legal, and Compliance to embed risk programs into the business. You may be a good fit if you - Have 12+ years in enterprise risk, safety, resilience, or security program leadership, including managing teams and multi-disciplinary programs. - Have built or owned an enterprise risk management framework and integrated it into business planning. - Have led multi-disciplinary programs (e.g., EH&S, access, third-party risk, or facility programs) at organizational scale. - Are an effective people leader who develops specialists and holds a high program bar. - Communicate risk clearly to executives and translate it into operational programs. - Think in systems and time horizons and build ahead of need. - Thrive in fast-paced, high-ambiguity environments. Strong candidates may have - Considered a leader in your field, with experience building risk, safety, or resilience programs at hyperscale technology companies or across large multi-site, multinational organizations. - A strong EH&S background — program development and oversight in complex or high-risk environments. - Third-party / vendor risk management program experience. - Deep familiarity with enterprise risk frameworks (e.g., ISO 31000) and risk governance. - Relevant certifications (e.g., CSP, CIH, CPP, ARM, or ERM credentials). - Experience in high-profile, regulated, or research environments. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 - $340,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the German market. Responsibilities: - Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close - Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns - Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications - Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices - Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the German enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers - Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: - Native German speaker with excellent written and verbal communication skills in German and English - 7+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies - Specialised sales industries experience: Commercial and Public Sector - A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases - Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments - Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies - Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives - Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the German market - A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities - A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: - Competitive base salary and commission structure - Equity participation in Anthropic's growth - Comprehensive benefits package - Opportunity to shape the AI industry in DACH and EMEA - Professional development and career growth opportunities Location: Munich, Germany (hybrid working available) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €265.000 - €310.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the German market. Responsibilities: - Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close - Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns - Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications - Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices - Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the German enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers - Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: - Native German speaker with excellent written and verbal communication skills in German and English - 7+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies - Specialised sales industries experience: FSI - A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases - Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments - Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies - Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives - Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the German market - A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities - A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: - Competitive base salary and commission structure - Equity participation in Anthropic's growth - Comprehensive benefits package - Opportunity to shape the AI industry in DACH and EMEA - Professional development and career growth opportunities Location: Munich, Germany (hybrid working available) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €265.000 - €310.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Network Security team's remit is to secure Anthropic's networks across our cloud providers and our bare-metal AI data centers. We own egress and ingress controls, network segmentation, private connectivity between environments, and encryption in transit. We design, build, and maintain these controls, and we write the software that deploys, enforces, and monitors them. These controls protect our model weights, customer data, and internal assets. We are hiring an Engineering Manager to lead this team. Anthropic is adding data center sites and cloud regions quickly, and the team will grow with that work. In this role you will set the team's charter, practices, and priorities. You will partner with our infrastructure networking, cluster, and data center teams so security is built into network designs from the start. The goal is secure-by-default networking that lets research and product teams use compute in any environment without slowing them down. Key responsibilities We're hiring an Engineering Manager to lead a Network Security Engineering team in executing across critical initiatives including, but not limited to: - Own the network security roadmap: threat model from the management plane through Kubernetes and cloud interconnects, decide what to build, and deliver it - Be able to reason about the design and implementation of default-deny ingress and egress, segmentation between research, training, and production, private connectivity, and mTLS/service identity across every environment - Ship these as secure-by-default primitives so new clusters, VPCs, and data center links inherit the right boundaries without security on the critical path - Join networking, cluster, and data center teams at design time so topology, routing, and firewall decisions carry our invariants from day one - Build visibility into traffic and boundary drift, with detection for exfiltration paths and automated remediation where safe - Own the network security evidence for our security goals and compliance: the invariants hold, and you can prove it - Hire, grow, and retain senior security software engineers; own their career development, and set the practices the team runs on as it scales Minimum Requirements: - 8+ years of front line management experience - Low ego, high empathy; has built diverse teams and has former reports who would work for them again - Experience managing infrastructure or security engineering teams, including hiring, developing, and managing senior and staff engineers - Has grown engineers into staff or lead roles, and has made the call to move someone out when coaching didn't work - Kept a team intact and delivering through reorgs, charter changes, or leadership turnover - Experience owning a security or infrastructure domain end to end: setting multi-year strategy, delivering year-long cross-organizational work with little direction, and answering to executives for its risk and tradeoffs - Scaled a team and its systems together through hypergrowth, where last quarter's architecture was already too small - Hands-on network security engineering in cloud and/or on-prem environments: VPC design, interconnects, private service connectivity, cloud firewall policy, egress control, physical segmentation, and out-of-band/management-plane security - Threat modeling and risk assessment for networked systems, with the judgment to tell which controls reduce risk and which just look good on a diagram - Secured Kubernetes networking at scale, or worked in high-assurance environments where controls had to be evidenced, not just deployed Preferred Qualifications: - Built or rebuilt a hiring loop and held the bar while adding headcount quickly - Exposure to large-scale distributed training and what it demands of a network - Solved end-to-end networking problems directly with internal users, cloud account teams, and hardware or colo vendors - Has taken infrastructure from zero to one and then to maturity: built the first version where nothing existed, then run and hardened it into a system other teams depend on at production-network reliability - Pragmatic and steady: cares about unblocking research and product as much as a clean architecture, and brings patience and judgment to opinionated senior engineers - Clear and persuasive communicator in writing and in person - Familiar with AI security and safety concepts The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Manager on the Startups team at Anthropic, you'll lead a team of Growth Account Executives responsible for driving expansion and retention across our fastest-growing startup customers. You'll build and develop a high-performing team while establishing the frameworks, processes, and best practices that enable them to help customers harness the transformative potential of safe, frontier AI. In this role, you'll be responsible for growing team revenue, driving optimal commercial outcomes, and ensuring Anthropic is building long-term partnerships with the world’s fastest growing AI native startups. Responsibilities: - Lead, coach, and develop a team of Startup Growth AEs, providing regular feedback and guidance to drive both individual and team performance - Own team revenue targets, developing strategies to accelerate growth - Build scalable frameworks and processes for deal negotiations, account planning, quarterly business reviews, and customer health monitoring - Partner with Product, Marketing, and other GTM teams to identify and execute on strategic growth opportunities across the startup portfolio - Regularly review customer health metrics and collaborate with team members to develop action plans for at-risk accounts - Mentor team members in developing consultative sales skills, negotiation best practices, and technical understanding of AI applications - Drive operational excellence through pipeline management, forecasting accuracy, and team productivity metrics - Participate in strategic customer conversations and support Growth AEs in complex negotiations You may be a good fit if you have: - 5+ years of experience in enterprise software sales or account management, with 3+ years leading sales teams - Proven track record of consistently exceeding team revenue targets and developing high-performing account executives - Strong understanding of the startup ecosystem and experience working with high-growth technology companies - Deep expertise in strategic account planning and scaling account management processes in a fast-paced environment - Strong analytical and problem-solving skills with a data-driven approach to decision making - Excellence in cross-functional collaboration and stakeholder management - Background in technical product sales, particularly in areas like APIs, infrastructure, or ML/AI solutions - Demonstrated ability to coach and develop talent while maintaining high performance standards The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €255.000 - €310.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a Federal Policy partner to lead and operationalize Anthropic's engagement with Senate Republicans and related stakeholders to drive AI policy that advances Anthropic's mission of ensuring that artificial intelligence systems are developed safely and benefit humanity. In this role, you will work closely with the government affairs team and the broader organization to translate strategic objectives into executable federal policy campaigns that shape the policy infrastructure. You will advise internal stakeholders, shape policy positions, develop advocacy strategies, and build and manage policymaker relationships to advance our policy goals. Anthropic is equal parts research lab, policy think-tank, and technology startup. We care deeply about the safe development of AI systems, and build partnerships with governments through proactive, opinionated, substantive policy conversations. Our approach to AI policy is genuinely distinctive — grounded in honest assessment of technological trajectories and authentic concern for safe scaling — and we need federal affairs professionals who understand how to operationalize that positioning creatively and strategically. This role offers a rare opportunity to shape AI governance at a critical moment. Federal AI policy is being written right now, and this is the most consequential technology policy debate in a generation. The decisions made in the next 2-3 years will shape how AI develops globally. You will work alongside leadership who are deeply engaged on policy and serve as partners in this work. Key responsibilities - Advise internal stakeholders to help inform and develop public policy positions that advance Anthropic's mission - Translate complex policy issues into effective advocacy strategies, executing campaigns across issue sets while managing diverse stakeholder groups and leveraging communications, third-party groups, political engagement, and internal and external resources - Build and maintain key relationships with Members of the Senate Republican conference - Identify targets, cement relationships, and align them to Anthropic's policy priorities through proactive, substantive engagement — leading with substance, not just relationships - Work in tandem with Federal Affairs partners to share information, align on strategy, and execute; support the integration of the federal affairs team with key internal stakeholders across policy, communications, legal, and executive functions - Maintain accountability in driving outcomes, working with leadership to align on key results and track execution against strategic objectives with measurable milestones - Synthesize complex political dynamics into clear strategic recommendations for leadership, managing up effectively and building confidence through transparency on progress and risk Minimum qualifications - Experience working on policy within government or as a policy advocate, with demonstrated success winning legislative and regulatory outcomes in contested policy areas - Established relationships with key policymakers and officials in the Senate, and a demonstrated track record of building substantive relationships with senior policymakers - Policy drafting and analysis skills: legislative and regulatory analysis, policy memos and position papers, advocacy messaging, and briefing materials for senior leadership - Experience executing multi-dimensional policy campaigns, including managing outside counsel, coalitions, third-party groups, and communications resources - Ability to translate strategic objectives into executable plans with clear milestones and measurable outcomes - Ability to manage across multiple substantive policy domains without deep expertise in each area, including validating others' work and asking incisive questions to inform strategy - Based in or willing to relocate to Washington, DC Preferred qualifications - Experience in technology policy, emerging technology regulation, or policy areas affected by rapid innovation and technological change, with an understanding of how to navigate the policy gaps that disruptive change creates - Experience thinking in terms of leading indicators and articulating progress toward policy wins to senior leadership - Experience synthesizing complex policy dynamics into clear strategic counsel for leadership and internal stakeholders, and managing internal stakeholders to build trust, confidence, and partnership - Experience translating complex technical topics into politically viable policy positions and messaging in environments with significant institutional resistance or uncertainty - Alignment with our mission and enthusiasm for the imperative of policy impact and change - Drawn to working with an organization that approaches AI policy with intensity and intellectual honesty, and able to operationalize and leverage that positioning as a competitive advantage The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 - $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic’s Global Safety, Intelligence, and Security (GSIS) team is responsible for protecting our people, facilities, and operations worldwide. The function spans intelligence, protective services, investigations, travel and event security, security operations, environmental health and safety, and crisis management — and it’s growing quickly as Anthropic’s footprint, public profile, and threat surface all expand. We are seeking an Enterprise Intelligence Specialist to join GSIS’s Enterprise Intelligence team as a hands-on investigator and analyst. Where our Protective Intelligence team focuses on executive-centric threat assessment — individuals and groups who may pose a risk to our executives — the Enterprise Intelligence team owns the employee and enterprise-level threat picture: the geopolitical, security, and risk environment in which Anthropic operates globally. Working against priorities set by the team lead, you will investigate specific threats, actors, and events, produce finished assessments, and help keep Anthropic’s employees ahead of a rapidly evolving threat landscape and in a defensible position. This is an individual contributor role on an established team; you will not be asked to build or manage the program. You will spend most of your time investigating and analyzing threats, producing assessments and briefs, supporting the team during crises, and briefing stakeholders on your findings. The team sits at the center of how Anthropic understands and anticipates external risk, and your work will directly shape decisions about where and how we operate, travel, convene, and grow. Responsibilities - Serve as an investigator and analyst on the Enterprise Intelligence team, including via conducting investigations and behavior-based threat assessments, producing risk assessments, and intel products - Work against threat intelligence requirements and priorities set by the team lead, and contribute to the team’s production cycle and quality standards - Identify, assess, track, and investigate global threats including geopolitical instability, terrorism, crime, activism, nation-state targeting of the AI sector, and emerging security trends, including deep-dive research and OSINT collection on specific threats, actors, and events - Produce timely threat intelligence products such as risk assessments, threat briefs, travel risk guidance, and executive summaries, and translate intelligence into actionable insights for crisis teams and operational security functions - Apply the team’s methodologies for intelligence collection, analysis, validation, and dissemination, and hold your own production to the team’s quality standards - Provide investigative support to crisis management, emergency response, and business continuity efforts; serve as a key supporter during security incidents, elevated threat environments, and high-risk events; coordinate inputs before, during, and after crises to support decision-making and post-incident review - Brief security leadership and cross-functional partners with clear, concise, and decision-oriented intelligence; build trusted relationships with Legal, People, Compliance, DnR, SecEng, etc; support the team lead in enterprise risk discussions and governance forums as needed - Work day to day with external intelligence providers, industry peers, law enforcement, and government partners as appropriate; use the team’s intelligence vendors, tools, and subscriptions and give feedback on their quality, relevance, and value - Document your work in line with team workflows and quality controls, and model integrity, discretion, and continuous improvement in all intelligence work You may be a good fit if you: - Have 7+ years of professional experience in intelligence, security risk analysis, threat assessment, or a related discipline - Have demonstrated experience investigating threats and producing finished all-source intelligence in a corporate, government, military, or global security environment - Hold a bachelor’s degree in security studies, international relations, political science, intelligence, psychology, criminology, or a related field - Want to be a hands-on investigator on a team — this role does not manage people or own the program - Bring strong analytical skills with the ability to translate complex threat information into clear, actionable guidance - Have a proven ability to brief senior stakeholders and influence decision-making, with excellent written and verbal communication skills - Can manage multiple concurrent taskings — strategic products and live incidents — under tight deadlines with limited supervision - Are comfortable with a flexible schedule, including periodic after-hours availability during crises and elevated threat environments Strong candidates may also have: - A master’s degree in intelligence studies, international affairs, security studies, public policy, or a related field - CTM certification - Experience supporting global operations, international travel risk, or crisis management programs - Familiarity with intelligence tools, OSINT and threat monitoring platforms, and structured analytic frameworks - Prior experience in highly regulated or high-risk industries (e.g., technology, critical infrastructure, life sciences, finance) - A background in high-growth technology companies or startups, and specialized knowledge of risks unique to the AI sector Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £110,000 - £140,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a candidate to drive our strategic Amazon/AWS partnership. You'll own this partnership end-to-end — building executive relationships across both organizations, developing joint go-to-market strategy, and generating large-scale revenue opportunities through AWS's ecosystem. In this role, you'll help shape how frontier AI technology is commercialized at scale, and you'll build the playbook for what a successful AI-cloud provider partnership looks like at Anthropic. Key responsibilities - Develop and execute go-to-market strategy for our AWS partnership, including co-selling motions, enablement programs, and joint business plans - Build pipeline forecasting and track progress against shared revenue targets - Build and maintain executive-level relationships across the AWS organization - Drive strategic planning and execution of joint marketing and sales initiatives - Design scalable processes for partnership operations, including escalation management and reporting - Design and execute segment-specific sales plays and enablement programs - Represent Anthropic in joint business reviews with key stakeholders - Provide market intelligence and competitive insights to inform product and business strategy - Identify and develop opportunities to expand the scope and impact of the partnership Minimum qualifications - Demonstrated experience building and scaling co-sell or joint go-to-market motions with a major cloud provider or technology platform partner - Experience building partnership forecasting, pipeline tracking, and reporting processes (e.g., in Salesforce or a comparable CRM) - Experience negotiating and structuring joint business plans with external partners - Experience translating technical product capabilities into business value for enterprise or partner audiences - Ability to travel up to 25% of the time Preferred qualifications - 8+ years of experience in enterprise sales, business development, or partnerships - Previous experience working directly with Amazon/AWS partner or alliance teams - Background in AI/ML technologies or enterprise software - Experience scaling partnerships in emerging technology markets - Track record of building enterprise GTM strategies from the ground up - Demonstrated ability to build trust and influence with senior stakeholders across organizations The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Research Data Platform team builds the tools that Anthropic's researchers use every day to manage, query, and analyze the data that goes into training and evaluating frontier models. We power the internal applications researchers rely on to monitor RL runs, explore finetuning datasets, and understand what's happening inside their experiments. We're looking for engineers who love working directly with users and who excel at building data products — the pipelines that move data out of training runs into queryable storage, and the APIs, libraries, and services researchers use to manage and explore it. This role sits closer to the research workflow than a typical data infrastructure position: you'll often embed with research teams, build ML-specific tooling alongside them, and leverage what our Data Infrastructure team has already built rather than reinventing it. We do not require prior ML or AI training experience. If you enjoy working closely with technical users, learning new domains quickly, and building tools people actually want to use, you'll pick up the research context fast. Responsibilities - Build and operate data pipelines that extract data from research training runs and land it in storage systems that are easy and fast to query - Work closely with researchers to design and build APIs, libraries, and web interfaces that support data management, exploration, and analysis - Develop dataset management, data cataloging, and provenance tooling that researchers use in their day-to-day work - Embed with research teams to understand their workflows, identify high-leverage tooling opportunities, and ship solutions quickly - Collaborate with adjacent teams to build on existing systems rather than reinventing them You may be a good fit if you - Have significant software engineering experience, particularly building data-intensive applications or internal tooling - Enjoy working directly with users, gathering requirements iteratively, and shipping things that get adopted - Are results-oriented, with a bias towards flexibility and impact - Pick up slack, even if it goes outside your job description - Want to learn more about machine learning research - Care about the societal impacts of your work Strong candidates may also have experience with - Large-scale ETL, columnar storage formats, and query engines (e.g., Spark, BigQuery, DuckDB, Parquet) - High-volume time series data — ingestion, storage, and efficient querying - Data cataloging, lineage, or metadata management systems - ML experiment tracking or metrics platforms - Working in environments where engineers partner closely with quantitative users — research labs, trading firms, observability or analytics startups - Complex data visualization and full-stack web application development The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Growth Account Executive, Startups at Anthropic, you'll partner with the next generation of AI-native startups across EMEA, helping founding teams integrate Claude into the core of their products and workflows from day one. You'll combine a high-velocity sales motion with a consultative approach, guiding early-stage and growth-stage companies through their AI adoption journey and building relationships that scale as they do. The ideal candidate is energised by working with founders, thrives in a fast-paced environment, and has a genuine curiosity for how startups are building with AI. You'll identify high-potential companies early, help them realise the value of Anthropic's platform quickly, and grow these accounts as they scale — ensuring responsible development and deployment of AI capabilities along the way. Responsibilities - Own a high-volume book of startup accounts, managing the full sales cycle from prospecting and qualification through to close and expansion - Build trusted relationships with founders, technical leads, and early go-to-market teams, acting as a strategic advisor on AI adoption - Drive rapid time-to-value by helping startups identify and execute their highest-impact AI use cases with Claude - Develop and execute territory and account plans that prioritise the highest-potential startups within the EMEA ecosystem - Collaborate closely with Solutions Engineering, Developer Relations, and Customer Success to deliver a seamless customer experience - Partner with the venture capital and accelerator ecosystem to source pipeline and build Anthropic's presence within the startup community - Identify product feedback and emerging trends based on patterns across your portfolio of startup customers, advocating internally for the startup segment - Manage accurate forecasting and pipeline hygiene, leveraging data to continuously optimise your sales motion Must-Have Qualifications - 5 + years of experience in SaaS or cloud/infrastructure sales, with a strong track record of meeting or exceeding quota - Experience managing a high-velocity sales cycle with multiple concurrent opportunities at various stages - Comfort engaging directly with founders and technical decision-makers at early-stage and growth-stage companies - Strong commercial instincts with the ability to quickly assess a startup's potential and tailor your approach accordingly - Solid understanding of technical concepts sufficient to have credible conversations about APIs, integrations, and AI/ML use cases - Excellent communication skills — written and verbal — with the ability to convey value clearly and concisely - Self-starter mentality with a bias toward action, experimentation, and continuous improvement Preferred Qualifications - Experience selling developer tools, APIs, cloud infrastructure, or AI/ML platforms - Familiarity with consumption-based or usage-based pricing models - Existing relationships within the EMEA startup and venture capital ecosystem - Understanding of the AI/ML landscape, including large language models and generative AI trends - Experience working at or selling into high-growth startups - Background partnering with accelerators, incubators, or VC portfolio programmes to drive pipeline The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €155.000 - €205.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Join Anthropic's Customer Success team in a high-impact role driving AI adoption across our Industry segment. As an Enterprise Customer Success Manager for Industries, you'll be the strategic partner and a trusted advisor to our most complex customers with a portfolio spanning Semiconductor, Manufacturing and Retail organizations—helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code. You'll work with organizations across diverse industries that are transforming their businesses with AI technology. Developing genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. Responsibilities: - Build trusting, strategic relationships with key customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion - Become an expert in Anthropic's products across API, Claude Code and Claude for Enterprise, understanding the technical nuances and best practices for each to guide customers to the right solutions - Leverage your deep knowledge of the customer and their industry vertical to proactively drive usage planning, understanding current and future consumption/adoption and how it creates realized value for the customer - Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments - Serve as the customer's thought partner, enhancing their knowledge of Claude products by socializing Anthropic's product roadmap, driving awareness on new products and engaging Product PMs - Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment - Identify potential use cases and lines of business not currently onboarded, partnering with customers and Sales to discover new applications for Claude across different departments, teams, and workflows - Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement - Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic - Develop scalable engagement strategies and playbooks for your Industry portfolio, balancing high-touch strategic accounts with efficient coverage models to maximize impact across all customers You may be a good fit if you have: - 6+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering - Experience working with enterprises in Financial Services, Systems Integrators, Semiconductor, Manufacturing or Retail industries - Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users - Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each - Strategic mindset to identify growth opportunities and translate them into actionable expansion plans - Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes - Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs - Passion for AI and interest in responsible development of advanced systems - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality—you're a true team player The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $200,000 - $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Join Anthropic's Customer Success team in a high-impact role driving AI adoption across our Healthcare and Life Sciences segment. As an Enterprise Customer Success Manager for HCLS, you'll be the strategic partner and a trusted advisor to our most complex customers with a portfolio spanning Pharma, Life Sciences, Providers, and Health systems — helping them harness the full potential of all our Claude capabilities - Claude Enterprise, Claude Code, and API. You'll work with organizations across diverse sub-segments that are transforming their businesses with AI technology. Developing genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. Responsibilities: - Build trusting, strategic relationships with key customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion - Become an expert in Anthropic's products across API, Claude Code and Claude for Enterprise, understanding the technical nuances and best practices for each to guide customers to the right solutions - Leverage your deep knowledge of the customer and their industry vertical to proactively drive usage planning, understanding current and future consumption/adoption and how it creates realized value for the customer - Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments - Serve as the customer's thought partner, enhancing their knowledge of Claude products by socializing Anthropic's product roadmap, driving awareness on new products and engaging Product PMs - Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment - Identify potential use cases and lines of business not currently onboarded, partnering with customers and Sales to discover new applications for Claude across different departments, teams, and workflows - Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement - Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic - Develop scalable engagement strategies and playbooks for your Industry portfolio, balancing high-touch strategic accounts with efficient coverage models to maximize impact across all customers You may be a good fit if you have: - 6+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering - Experience working with customers in HCLS - Deep understanding of HCLS regulatory, risk, and compliance needs - Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users - Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each - Strategic mindset to identify growth opportunities and translate them into actionable expansion plans - Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes - Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs - Passion for AI and interest in responsible development of advanced systems - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality—you're a true team player The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $200,000 - $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Join Anthropic's Customer Success team in a high-impact role driving AI adoption across our Industry segment. As an Enterprise Customer Success Manager, GSI, you'll be the strategic partner and a trusted advisor to our most complex customers with a portfolio spanning Systems Integrators—helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code. You'll work with organizations transforming their businesses with AI technology. Developing genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. Responsibilities: - Build trusting, strategic relationships with key customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion - Become an expert in Anthropic's products across API, Claude Code and Claude for Enterprise, understanding the technical nuances and best practices for each to guide customers to the right solutions - Leverage your deep knowledge of the customer and their industry vertical to proactively drive usage planning, understanding current and future consumption/adoption and how it creates realized value for the customer - Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments - Serve as the customer's thought partner, enhancing their knowledge of Claude products by socializing Anthropic's product roadmap, driving awareness on new products and engaging Product PMs - Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment - Identify potential use cases and lines of business not currently onboarded, partnering with customers and Sales to discover new applications for Claude across different departments, teams, and workflows - Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement - Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic - Develop scalable engagement strategies and playbooks for your Industry portfolio, balancing high-touch strategic accounts with efficient coverage models to maximize impact across all customers You may be a good fit if you have: - 6+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering - Experience working with enterprises in Systems Integrator industries - Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users - Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each - Strategic mindset to identify growth opportunities and translate them into actionable expansion plans - Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes - Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs - Passion for AI and interest in responsible development of advanced systems - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality—you're a true team player The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $200,000 - $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Join Anthropic's Customer Success team in a high-impact role driving AI adoption across our Financial Services segment. As an Enterprise Customer Success Manager for FSI, you'll be the strategic partner and a trusted advisor to our most complex customers with a portfolio spanning Banking, Insurance, Asset & Wealth Management, and Data Providers — helping them harness the full potential of all our Claude capabilities - Claude Enterprise, Claude Code, and API. You'll work with organizations across diverse sub-segments that are transforming their businesses with AI technology. Developing genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. Responsibilities: - Build trusting, strategic relationships with key customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion - Become an expert in Anthropic's products across API, Claude Code and Claude for Enterprise, understanding the technical nuances and best practices for each to guide customers to the right solutions - Leverage your deep knowledge of the customer and their industry vertical to proactively drive usage planning, understanding current and future consumption/adoption and how it creates realized value for the customer - Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments - Serve as the customer's thought partner, enhancing their knowledge of Claude products by socializing Anthropic's product roadmap, driving awareness on new products and engaging Product PMs - Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment - Identify potential use cases and lines of business not currently onboarded, partnering with customers and Sales to discover new applications for Claude across different departments, teams, and workflows - Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement - Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic - Develop scalable engagement strategies and playbooks for your Industry portfolio, balancing high-touch strategic accounts with efficient coverage models to maximize impact across all customers You may be a good fit if you have: - 6+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering - Experience working with enterprises in Financial Services - Deep understanding of FSI regulatory, risk, and compliance needs - Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users - Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each - Strategic mindset to identify growth opportunities and translate them into actionable expansion plans - Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes - Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs - Passion for AI and interest in responsible development of advanced systems - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality—you're a true team player The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $200,000 - $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. En tant que membre de l'équipe Applied AI d'Anthropic, vous serez ingénieur en déploiement avancé (FDE) qui s'engage directement auprès de nos clients les plus stratégiques pour favoriser l'adoption de l'IA transformationnelle. Vous collaborerez étroitement avec les équipes de clients pour livrer des applications d'IA avancées qui résolvent des problèmes commerciaux réels. Nos FDE interagissent avec les clients pour accélérer l'adoption des produits existants et créer de nouvelles applications basées sur nos modèles. En travaillant en étroite collaboration avec nos équipes post-vente, produit et ingénierie, vous combinerez expertise en ingénierie, compréhension des applications IA de pointe et compétences en contact avec la clientèle pour comprendre les flux de travail clients et développer des solutions innovantes qui répondent à des défis commerciaux complexes tout en respectant nos normes élevées de sécurité et de fiabilité. Vous serez à la pointe des déploiements d'IA en entreprise et vous serez l'une de nos fondatrices FDE qui contribue à façonner notre mouvement de déploiement vers l'avant. Nous attendons de nos FDE qu'ils travaillent de manière autonome, qu'ils s'épanouissent dans l'ambiguïté et qu'ils représentent Anthropic au plus haut niveau dans l'environnement de nos clients. Il s'agit d'une responsabilité importante : vous jouerez un rôle clé en défendant notre mission au sein de l'entreprise. Responsabilités - Travailler au sein des systèmes clients pour développer des applications de production avec les modèles Claude, en veillant à ce que ces produits répondent aux exigences des clients. - Fournir aux clients des artefacts techniques tels que des serveurs MCP, des sous-agents et des compétences d'agent qui seront utilisés dans les flux de travail de production. - Fournir une assistance au déploiement des produits Anthropic dans les environnements d'entreprise. - Identifier et codifier des modèles de déploiement reproductibles et fournir des informations à nos équipes Produit et Ingénierie. - Maintenir une connaissance approfondie des derniers développements en matière de capacités des LLM, de modèles de mise en œuvre et de piles technologiques de développement de produits d'IA. - Établir des relations à long terme avec les clients et identifier de manière proactive de nouvelles opportunités de déploiement de l'IA tout au long du cycle de vie d'un engagement. - Se déplacer fréquemment (25 à 50 %) sur les sites des clients afin de nouer des relations personnelles avec eux. - Être un champion de la mission d'Anthropic sur le terrain. Profil recherché : - Vous avez plus de 4 ans d'expérience dans un poste technique en contact avec la clientèle, par exemple en tant qu'ingénieur en déploiement avancé, ou en tant qu'ingénieur logiciel avec une expérience de conseil. Les anciens fondateurs techniques sont également encouragés à poser leur candidature. - Vous avez de l'expérience en production avec des LLM, incluant l'ingénierie avancée des prompts, le développement d'agents, les cadres d'évaluation et le déploiement à grande échelle. - Vous avez de solides compétences en programmation avec une maîtrise de Python (et idéalement d'un ou plusieurs autres langages comme TypeScript, Java, etc.) et une expérience de l'expédition d'applications de production. Haute capacité d'action, capable de surmonter l'ambiguïté qui caractérise les organisations complexes. • Esprit de coopération élevé pour la collaboration inter-organisationnelle, équilibrant les priorités concurrentes avec intégrité. • Passion pour la promotion de systèmes d'IA sûrs et bénéfiques à travers des applications techniques créatives. • Solides compétences en communication pour mener des discussions exploratoires avec les clients et transmettre des concepts techniques à divers intervenants tout en conservant une attitude humble et collaborative. • Une expérience dans le domaine des services financiers, des soins de santé/sciences de la vie ou d'un autre secteur d'activité est un atout. • Une expérience des systèmes informatiques d'entreprise et/ou des modèles de déploiement de l'IA est un atout. ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models. Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise. Responsibilities - Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements. - Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows. - Provide white glove deployment support for Anthropic products in enterprise environments. - Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams. - Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks. - Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement. - Travel frequently (25-50%) to customer sites to build in person with customers. - Be a champion for Anthropic’s mission in the field. You May Be a Good Fit If You Have - 4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply. - Native French speaker with fluent English proficiency - Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale. - Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications - High agency with an ability to navigate ambiguity present in complex organizations. - High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity. - Passion for advancing safe, beneficial AI systems through creative technical applications. - Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach. - A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus. - Experience with enterprise IT systems and/or AI deployment patterns is a plus. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Join Anthropic's Customer Success team in a high-visibility & high-impact role driving AI adoption for one of our largest accounts in the Tech segment. As a dedicated Enterprise Customer Success Manager you’ll be their strategic partner and trusted advisor helping them harness the full potential of all our Claude capabilities - API, Claude Code, Cowork, and other surface areas. You'll work with a global technology leader to actively deploy and adopt AI to reshape the technology landscape. You’ll be working with key partners who are moving fast and pushing the boundaries of what's possible with LLM technology. Your role will entail developing genuine partnerships with the customer and key stakeholders, gaining a deep understanding of their multi-pronged business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team, you will provide your customer best practices and guidance to getting the most impact with Claude in a safe, sustainable way while supporting them as their consumption grows and evolves. Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the ROI of their investment. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. Responsibilities: - Build trusting, strategic relationships with key customer decision makers in complex, matrixed organizations; understand their business and objectives and identify opportunities for optimization and expansion - Become an expert in Anthropic's products across API, Claude Code and Cowork, understanding the technical nuances and best practices for each to guide customers to the right solutions - Own the customer operations across their lifecycle, maintaining a structured operational assessment of the account (customer readiness, operational health, strategic alignment, enablement strategy, adoption intelligence) that grounds comprehensive account and success plans and Quarterly Business Reviews - Identify potential use cases and lines of business not currently onboarded, partnering with customers and Sales/Product to discover new applications for Claude across different departments, teams, and workflows - Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement - Leverage your deep knowledge of the customer to proactively drive consumption planning and the value story behind it, developing credible ROI hypotheses, and quantifying outcomes that build the case for continued and expanded investment - Ruthlessly prioritize across the account's many business units and workstreams, building programmatic, repeatable motions You may be a good fit if you have: - 8+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, and/or Strategy Consulting - Experience working with F10 companies at the exec level” at the exec level — ideally including established tech companies – you understand what it mans to lead organization-wide change or adoption programs (multiple functions, thousands of users) for a product that required C-suite sponsorship - Technical fluency with ability to understand and articulate AI/ML concepts, the software development lifecycle (SDLC), and implementation patterns across a set of diverse stakeholders—from end users to executives - You build with AI daily, automating your own workflows with agents, skills, and tooling is second nature, preferred experience with Claude Code - Proven track record of driving measurable outcomes inside a single, highly matrixed organization with many business units. You treat customer asks as two-way exchanges: comfortable asking for commitments, references, and access in return, and pushing back on requests that aren't leveraged. - Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $200,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. À propos d’Anthropic La mission d’Anthropic est de créer des systèmes d’IA fiables, interprétables et orientables. Nous voulons que l'IA soit sûre et bénéfique pour nos utilisateurs et pour la société dans son ensemble. Notre équipe est composée de chercheurs, d'ingénieurs, d'experts politiques et de chefs d'entreprise engagés qui travaillent ensemble pour créer des systèmes d'IA bénéfiques. À propos du poste En tant qu'architecte des solutions partenaires au sein de l'équipe d'IA appliquée d'Anthropic, vous serez architecte avant-vente chargé d'entretenir des relations techniques avec nos intégrateurs de systèmes mondiaux et régionaux (GSI/RSI) et nos partenaires cloud (AWS et GCP). Vous renforcerez nos relations avec les partenaires clés pour accélérer les revenus indirects, permettre leurs pratiques d'IA et exécuter la stratégie GTM à long terme. Responsabilités: - Partenariat technique stratégique : soyez un partenaire de réflexion technique pour l'équipe des partenariats Anthropic GTM, en apportant une expertise technique pour mieux comprendre l'environnement des partenaires, en pilotant des programmes stratégiques clés et en identifiant des opportunités pour approfondir leurs compétences techniques. Vous vous intégrez aux équipes techniques de GSI et des partenaires cloud pour mettre en œuvre leurs pratiques en matière d'IA, vous aider à résoudre les problèmes, promouvoir Anthropic au sein de leurs communautés de développeurs et servir de point d'accès pour les problèmes techniques complexes. - Développement conjoint de solutions : Collaborer avec des partenaires pour identifier des applications GenAI spécifiques à grande valeur industrielle, développer des solutions conjointes et codifier des architectures de référence / bonnes pratiques afin d’accélérer le temps de déploiement - Assistance aux offres clients : Intervenir directement pour débloquer des transactions clients stratégiques où les partenaires sont le principal vecteur de livraison, apportant une expertise technique approfondie et des conseils en architecture de solutions. - Écosystème de partenaires et événements : représentez Anthropic lors d'événements partenaires tels que les ateliers clients GSI, les sommets AWS et les conférences sectorielles. Animer ou soutenir des événements, hackathons et sessions de formation technique destinés aux développeurs partenaires, en particulier pour les communautés ayant une expertise technique pointue. Retours sur les produits : validez et recueillez des retours sur les produits et services d'Anthropic, notamment en ce qui concerne les cas d'utilisation et modèles de déploiement des partenaires, et transmettez ces commentaires aux équipes Anthropic concernées afin d'éclairer la feuille de route du produit et la stratégie des partenaires. Profil recherché: - Plus de 5 ans d'expérience dans des rôles techniques orientés clients et partenaires, tels que Architecte de Solutions, Ingénieur Commercial, Ingénieur Commercial Partenaires, Responsable de Compte Technique - Expérience avérée de partenariats fructueux avec des intégrateurs de systèmes mondiaux et/ou des fournisseurs de services cloud pour résoudre des problèmes techniques complexes, de la conception initiale de la solution à sa mise en œuvre chez le client - Capacité exceptionnelle à établir des relations avec diverses parties prenantes et à leur communiquer des concepts techniques, notamment des cadres supérieurs, des équipes informatiques et d'ingénierie, etc. - Solides compétences en présentation et communication technique avec la capacité de traduire les exigences entre parties prenantes techniques et commerciales - Expérience de la conception d'architectures cloud évolutives et de l'intégration avec des systèmes d'entreprise - Familiarité avec les cadres et outils LLM courants ou une formation en apprentissage automatique ou en science des données - Enthousiasme à l'idée de participer à une collaboration inter-organisationnelle, de trouver des compromis et de trouver un équilibre entre des priorités concurrentes - L'amour de l'enseignement, du mentorat et de la réussite des autres - Passion pour la réflexion créative sur la manière d'utiliser la technologie de façon sûre et bénéfique, et qui favorise ultimement l'avancement des systèmes d'IA sûrs. About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Architect on the Partnerships team at Anthropic, you will be a pre-sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: - Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. - Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment - Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. - Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: - 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager - Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more - Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Familiarity with common LLM frameworks and tools or a background in machine learning or data science - Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - A love of teaching, mentoring, and helping others succeed - Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: - Partner with account executives across Australia to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation - Serve as the primary technical advisor to enterprise customers across Australia throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success - Support customers building with both the Claude API and Claude for Work - Create and deliver compelling technical content tailored to different audiences across Australia. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives - Guide technical architecture decisions and help customers across Australia integrate Claude effectively into their existing technology stack - Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases - Identify common integration patterns and contribute insights back to our Product and Engineering teams - Travel occasionally to customer sites for workshops, technical deep dives, and relationship building - Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: - 8+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager - Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more - Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Comfortable with python - Familiarity with common LLM frameworks and tools or a background in machine learning or data science - Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - A love of teaching, mentoring, and helping others succeed - Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for experienced software engineers to join the Platform Ecosystem team within our Platform organization. Platform Ecosystem exists to empower the next big industries to build on Claude and to create the commercial rails that let businesses building on our platform flourish. This is a founding team, and you'll play a critical role in accelerating AI transformation across highly impactful, mission-driven sectors. You'll drive 0 → 1 efforts from ideation through delivery, partner closely with product, design, research, and forward-deployed engineers, and bring strong product and business sense to shape our strategy in entirely new domains. You should be comfortable moving across a breadth of different stacks and going deep when needed to break through walls and turn ambiguous opportunities into high-quality, shipped products. The Ecosystem team is organized around two pillars. Placement takes into account your interests and experience alongside organizational needs, so you can land where you'll have the greatest impact and growth potential. What you'll do Verticals: We build for the next API markets, such as Life Sciences & Healthcare. You'll work alongside product, design, research, and forward-deployed engineers to understand what these industries need from Claude, and build the capabilities, integrations, and workflows that let them adopt Claude safely and at scale. Expect to move quickly across unfamiliar domains, learn what matters to each market, and ship products that unlock entirely new categories of customers on the platform. Monetization: We build the commercial rails and controls that let the platform do business anywhere, with anyone — and turn Claude from a cost line into a revenue line. You'll design and operate the systems that let businesses building on Claude price, package, and sell what they build, and give them the controls they need to do so with confidence. This work sits at the intersection of product, platform infrastructure, and go-to-market, and it directly shapes how the ecosystem around Claude grows. You might be a good fit if you: - Have a minimum of 8 years of practical experience as a backend or platform engineer, along with some frontend experience - Have strong product sense and the technical chops to tackle a wide variety of challenges, and are great at working closely with cross-functional partners to ideate and execute product strategy in new domains - Are familiar with using AI tools as part of the software development process - Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use - Take full ownership of your work — from design through build, deployment, and operations, to iterating on and improving your product - Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in both 0 → 1 and more mature team or company settings - Care about building systems that other engineers and businesses love to use Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role There are close to a billion knowledge workers in the world, and only a small fraction of them have discovered what it feels like to work alongside AI that actually raises their game. Most people who could benefit from an AI collaborator haven't tried one yet, or tried once and didn't see what was possible. Closing that gap isn't a copywriting problem — it's a storytelling and enablement problem at a scale few companies have ever had to solve. That's what this role owns. We're looking for a Senior Product Marketing Manager to own the foundational positioning and story for Claude's core knowledge-work products — Chat, Cowork, and the broader non-coding suite. Everything that helps a knowledge worker understand what's possible, and a buyer decide with confidence, runs through your work: the website, the pitch decks, the battlecards, the persona narratives. You're not just making the case that people should adopt AI — you're equipping the people who decide to buy it and showing the people who use it, at the scale of millions, exactly how to put it to work. This is an individual-contributor role built for someone who wants to do deep, durable craft work on products with enormous, established usage. You'll write the positioning doc, build the battlecards, and ship the persona work yourself, and you'll use Claude and AI-native workflows to keep those foundations self-updating and trusted by every team that depends on them. If you've owned the full product marketing stack for a large, widely-used, fast-evolving product, have building instincts for turning your own PMM workflows into systems rather than one-off documents, and want your writing to be the reason millions of people and the buyers who equip them finally understand what an AI collaborator can do, this role is for you. Key responsibilities - Define the story that gets millions of people to change how they work. Own and evolve the positioning and messaging house for Chat, Cowork, and Claude's core knowledge-work products, so every deck, campaign, and piece of content makes the same compelling case for what's possible. - Give sellers the conviction to close. Build and maintain the sales enablement assets — pitch decks, battlecards, objection handling — that turn a good product into deals won, arming GTM to sell with confidence rather than guesswork. - Equip buyers to make the call with confidence. Own the proof points, comparisons, and narratives that help economic buyers and champions justify the purchase and adoption decision internally, not just the end users who'll use the product day to day. - Make sure the message lands with the right person, in their language. Develop ICP and persona frameworks that translate a broad, varied base of knowledge workers and buyers into insights sharp enough to drive messaging and campaigns that actually resonate. - Make our inspiring story come to life. Own the website and product page messaging that's often someone's very first encounter with what Claude can do for their work — the moment that decides whether they lean in or bounce. - Turn scattered wins into a playbook others can run. Build libraries of top use cases by product and by function or persona, so the best examples of AI-augmented work aren't one-off stories, they're patterns anyone can copy. - Keep every team telling the same story, well. Partner closely with GTM, Marketing, and Partners so they're never working from stale or inconsistent materials. - "Claudify" our own foundations. Build AI-native systems, using Claude and beyond-chat workflows like Skills and automations, that keep positioning, messaging, personas, and enablement current and instantly trustworthy — proof, in how you work, of the same transformation you're asking millions of others to make. - Contribute to how we present plans, pricing, and analyst relations materials for the core knowledge-work portfolio as they intersect with your positioning and messaging work Minimum qualifications - Have proven experience owning positioning and messaging for an established software product used broadly across personas and use cases - Have strong writing and storytelling skills, with the ability to adapt tone and complexity across formats — pitch decks, web copy, battlecards, persona docs - Have experience building ICP and persona frameworks and translating research into messaging that scales across websites, collateral, campaigns, and content - Have experience building sales enablement assets and working directly with sales teams on objection handling and win/loss dynamics - Are comfortable operating autonomously as an IC, writing and shipping assets directly rather than through a team - Demonstrate systems thinking, and the ability to move fast and with conviction in an always-evolving environment - Are well-versed in using AI — namely Claude — to inform and automate product marketing workflows, and have built foundational systems that inform, update, and share PMM foundations with the stakeholders who depend on them - Have experience marketing AI or productivity software to a broad, cross-functional buyer base Preferred qualifications - Experience with analyst relations processes and reports (e.g., Gartner, Forrester) - Familiarity with plans and pricing presentation and packaging communication - Experience as a Senior PMM or PMM Lead at a productivity, collaboration, or knowledge-work software company with ownership of core-product positioning Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role There are close to a billion knowledge workers in the world, and only a small fraction of them have discovered what it feels like to work alongside AI that actually raises their game. Getting the rest of the way there isn't a single campaign or launch — it's an integrated marketing and growth motion: the right story, reaching the right persona, backed by activation and campaign work that turns a first try into habitual use. That's what this role owns. We're looking for a Product Marketing Lead to own the GTM Strategy and integrated growth motion that makes Claude for Knowledge Work — chat, Cowork, Claude for Office, Tag and more — the default AI collaborator for knowledge workers. You'll define the Marketing & growth strategy by segment for our core knowledge-work products, and coordinate the work streams that acquire and activate both users and accounts and drive their success. This role provides direction, coordination, and fuel across Demand Generation, Growth, Brand, Events, Campaigns, Field Marketing, and Success. This is a GTM-oriented product marketer: deep in messaging and product truth, expressed through narrative content, campaigns, activation programs, and community. You'll build and run programs personally from day one, backed by many internal teams. If you've owned an awareness-to-success marketing motions end to end for a product line, know how to turn product truth into content and campaigns that land with various segments and personas, and want to build the motion that gets millions of knowledge workers to change how they work, this role is for you. Key responsibilities - Define the Marketing and growth strategy, segment by segment. Build a marketing plan per priority segment or function, prioritizing where to lead first and what to deliberately not do yet. - Set the content direction for Claude for Knowledge Work. Shape flagship narrative content based on the plan and campaign needs, building on the messaging and launch foundations owned by Core PMM. - Turn activation into a flywheel inside enterprise accounts. Identify and activate champions, coordinate workshops and webinars, and run lifecycle programs for various personas inside top accounts, inspiring knowledge workers to raise their ambitions and deliver more impact with Claude. - Own the flagship acquisition and activation campaigns. Define and run the "Hand off your tasks to Claude" integrated programs, choosing channels and activations that fit the audience. - Inform the digital, social, and field motions. Shape the Knowledge Work digital, social, and influencer motion — ops, finance, legal, marketing, and productivity creators — and our social presence in this space. - Coordinate without owning. Provide direction, coordination, and fuel across Demand Generation, Growth, Brand, Events, Campaigns, Field Marketing, and Success, so the growth motion moves as one program without duplicating any team's mandate. - Build and ship the work yourself. Operate as an individual contributor in year one — write the plans, build the campaigns, and ship the content directly, with room to grow a team as the motion matures. - Report on what the motion is actually driving. Track and share progress against awareness and preference, growth (WAUs and enterprise account depth), revenue contribution, and campaign efficiency. Minimum qualifications - Have experience creating marketing programs for functional personas, whether users or buyers (e.g., Operations, Finance, Legal, Sales) - Excel at cross-functional collaboration, with a track record of driving work through influence across Demand Generation, Growth, Brand, Events, Campaigns, Field Marketing, and Success, without direct authority over any of them - Possess strong storytelling and content instincts, with a track record of flagship narrative content such as executive series or customer story programs - Demonstrate grit and leadership, with a track record of driving results in ambitious, high-scale, high-velocity environments - Are comfortable operating autonomously as an IC in year one, building and shipping plans, campaigns, and content directly rather than through a team Preferred qualifications - 10+ years of growth and product marketing and/or demand gen experience for portfolio or product-line scope - Experience marketing a productivity, collaboration, or AI-powered enterprise product to knowledge workers, as distinct from developers - A background running community, influencer, or creator programs for a B2B audience - Experience building unaided awareness and preference for a specific product name or term within a category where the parent brand already has strong general awareness — building a name, not a category, from scratch - Experience reading and responding to competitive dynamics in a fast-moving market Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $400,000 - $400,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building the Applied AI team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Forward Deployed Engineers embed directly with strategic customers to ship production AI applications that solve real business problems. As this practice grows, we need a founding leader to build and scale it. As the first FDE Manager, you'll own the team that sits at the frontier of enterprise AI deployment. You'll hire and develop a high-performing team of FDEs, set the technical and operational bar for customer engagements, and build the playbooks that turn one-off successes into repeatable patterns. You'll work hand-in-hand with Engagement Managers who own delivery logistics and stakeholder management, while you ensure your team is shipping quality code, growing technically, and representing Anthropic at the highest level in customer environments. This is a player-coach role with a strong bias toward leadership. You'll stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters — but your primary impact will come from the people you hire, the standards you set, and the culture you create. You'll partner cross-functionally with Sales, Product, and Engineering to shape how Anthropic serves its most strategic customers, and your team's field insights will directly influence product direction. This role requires someone who thrives in ambiguity and is energized by building from zero to one. You'll be defining what good looks like for FDE management at Anthropic — there is no existing playbook to follow. Responsibilities - Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set a high bar for technical talent and customer instincts. - Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where FDEs do the best work of their careers. - Staff and oversee customer engagements across your team's portfolio, making resource allocation decisions that balance customer needs, team development, and business priorities. - Collaborate with account teams and Engagement Managers during the pre-sales process to qualify engagements, scope work, and inform statements of work. - Review technical architectures and code produced by your FDEs, ensuring the team ships high-quality, production-ready solutions that solve real customer problems. - Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex issues alongside your team when needed. - Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field. - Define team OKRs that tie to customer success outcomes and product adoption goals. Create operational cadences — standups, retros, engagement reviews — that keep the team aligned. - Partner with Product and Engineering to translate field insights into product improvements. Serve as the voice of the customer in internal planning. - Travel to customer sites as needed (25-50%), particularly during engagement kickoffs and for your team's highest-priority accounts. You may be a good fit if you have - 10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting. - 2+ years of people management experience within a services/post-sales/FDE organization with a track record of hiring, developing, and retaining strong engineers. - Experience building organizations from 0->1, not just inheriting an existing one. - Experience working directly with enterprise customers on technical implementations, including comfort navigating complex organizational dynamics. - Executive presence with the ability to move fluidly between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers. - Strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. - Genuine excitement about building something new and defining what great looks like for a team that doesn't yet exist. Why this role matters You'll be a founding leader of a team that defines how enterprises adopt and scale AI. Your work will directly influence Anthropic's product direction, create reusable patterns for the broader customer base, and establish Anthropic as the trusted partner for AI transformation — all while advancing the responsible development of frontier AI systems. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £1 - £1 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role The IT Operations team keeps Anthropic running. We make sure every employee can do their best work without friction. We're hiring IT Operations Engineers to own SaaS Operations, the service-operator layer for Anthropic's SaaS catalog: app administration, license and seat operations, renewals, audit evidence, app health and update coordination, Google Groups, and Google Calendar resources. You'll be a directly responsible individual for the SaaS Admin lane, owning its intake, execution, and runbook end to end, and you'll partner with IT Eng often: they own platform-level configuration, SSO/SCIM, integrations, and new-app intake, and you'll operate inside systems as they're configured, bringing platform-level work to them. Responsibilities SaaS Administration - Perform admin actions inside configured apps: role grants, settings changes the app already supports, and user troubleshooting at admin level, across the catalog's heaviest apps such as Gong, 1Password, MongoDB, and Vanta - Own intake and execution for tickets escalated from the Support queue into the SaaS lane, and write the runbook as you go - Identify repetitive work across the lane and automate it: license workflows, seat reporting, evidence pulls, and anything the queue keeps handing you - Build automations with the tools at hand (scripts, app-native workflows, AI tools) and partner with IT Engineering when an automation needs platform-level access - Monitor application health, usage, and performance at the app level, and route platform or infrastructure issues to IT Engineering - Coordinate vendor-driven app updates and feature rollouts: track release notes, schedule changes inside the apps, and communicate user-facing impacts - Assign and reclaim licenses across the catalog - Produce seat utilization reporting and run the monthly utilization review Renewals & Vendor Operations - Own the renewal calendar and prepare true-ups - Act as the day-to-day contact for vendor customer success managers (contract negotiation and spend approval stay with Procurement and Finance) Audit & Compliance Operations - Pull SOC2 evidence, support access-review execution, and package audit responses on the audit calendar (audit scope and policy stay with Security and Compliance) Google Workspace - Administer Google Calendar resources: rooms, equipment, and resource hygiene - Administer Google Groups: membership and access changes, troubleshooting, and keeping a heavily nested group structure understandable and clean Slack - Support Slack app installs in partnership with CorpSec for scope review - Workspace compartmentalization through Grid - Auditing and rotating Slack apps credentials in partnership with developers You may be a good fit if you - Have hands-on experience administering a portfolio of SaaS applications at the admin level, ideally in a fast-paced or high-growth environment - Have owned license and seat management: assignment, reclamation, and utilization reporting - Have supported renewals or true-ups and worked directly with vendor account or CSM contacts - Have pulled audit evidence or executed access reviews (SOC2 or a similar framework) - Are an excellent communicator who genuinely enjoys helping people solve problems - Write things down: runbooks, how-to guides, and knowledge base articles - Are organized enough to run calendar-driven work (renewals, audits, access reviews) alongside a ticket queue without things falling through the cracks - Recognize when a request crosses from operating a system into changing it, and route platform-level work to the owning team - Take ownership of problems and follow through until they're resolved - Look for manual work that repeats and automate it Strong candidates may also - Have basic scripting experience (Bash or Python) for automating license or reporting tasks - Have Google Workspace administration experience, especially with Google Groups - Have worked a full SOC2 or similar audit cycle on the evidence side - Have experience with a SaaS management or license management platform - Have experience using AI tools to improve personal or team productivity Location This is a remote role. Travel to our San Francisco office is required, along with occasional travel to other Anthropic offices. What Makes This Role Unique You'll be among the first people in a newly defined lane, which means the renewal calendar, the utilization reporting, and the runbook are yours to build. The lane spans Anthropic's SaaS catalog and sits at the junction of IT Operations and IT Engineering, so you'll see how the whole company works. And growth out of the lane is broad: people here have moved toward product, project and program management, and SecOps, and experience in this lane is a strong path toward IT Engineering. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 - $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is hiring a Health and Safety Specialist to lead the day-to-day H&S work at our San Francisco headquarters and across our broader US footprint. As Anthropic continues to scale, we need someone in the room — operating our health and safety programs, responding to what comes up, and being the trusted face of H&S for our employees. We're looking for someone who's spent their career doing the hands-on work of occupational health and safety — running inspections, investigating incidents, managing cases through to closure, supporting committees and emergency response teams, and getting employees engaged in the programs we run. This is a tactical, execution-focused role: you'll operate the programs we have, contribute to the ones we're building, and free up the EHS Lead to focus on the broader strategy and the specialty environments (biolabs, data centers, robotics) that need dedicated attention. You won't be doing this alone. You'll partner closely with the EHS Lead, with our Workplace, Security, HR, and Legal teams in SF, and with cross-functional partners at our other US offices. As we expand the broader Global Safety and Intelligence Services team, you'll have peers around you to collaborate with on shared work. Responsibilities You'll run the regular cadence of onsite H&S work at our San Francisco office — inspections, hazard and risk assessments, ergonomics program activities, and follow-through on the findings. You'll investigate workplace incidents, injuries, and illnesses, and you'll manage occupational health cases through their full lifecycle — from initial report through return-to-work and closure — coordinating with our occupational health providers, HR, and Legal partners. You'll also own OSHA recordkeeping for our US sites, including the annual 300/300A process. You'll be the in-the-room face of H&S for our SF employees and partners. That means facilitating and supporting our health and safety committee and volunteer emergency response team in SF — running meetings, coordinating drills, and following through on action items — and supporting similar work at our other US sites. You'll deliver and coordinate H&S training across our US offices — keeping our training calendar current, running sessions where helpful, and partnering with vendors and internal teams where it makes sense. You'll manage H&S vendor relationships (occupational health, ergonomics, training, audit) and engage with landlords, building management, and contractors to make sure shared environments are safe and meet our standards. You'll keep our H&S documentation, registers, and reporting systems accurate and current, and you'll contribute to the broader H&S programs the EHS Lead is building — sharing what you're seeing in the field, helping pilot new programs at SF, and bringing tactical know-how to standards work as it comes up. You may be a good fit if you - Have 7+ years of experience in a similar hands-on H&S role, ideally with time spent operating H&S programs day-to-day - Have strong working knowledge of US federal OSHA and California Title 8 (Cal/OSHA) requirements; familiarity with other US states (Washington, New York) is a plus - Are comfortable being the H&S expert in the room — translating regulatory requirements into clear decisions, and pushing back when something isn't safe - Are passionate about workplace H&S, and bring that energy to the people you work with - Have an ability to motivate and persuade others to collaborate, take action, and engage with H&S-related programs - Are resilient and adaptable in fast-paced, dynamic environments — comfortable with ambiguity and able to prioritize when everything looks urgent - Write clear, useful SOPs, playbooks, and program documents, and can create engaging presentations and training content - Have hands-on experience with software tools for H&S incident reporting, risk assessment, learning management, and related functions Strong candidates may also have - A Bachelor's degree in Occupational Health and Safety or another H&S-related field - Certifications such as CSP, ASP/GSP, CIH, or COHN — or comparable US-recognized H&S/occupational-health credentials - Familiarity with ISO 45001 (Occupational Health and Safety Management Systems) - Background in occupational health, fire safety, or industrial hygiene - Experience operating H&S programs across multiple US states or sites - Excellent computer skills — quick to pick up new applications and systems at the user and/or administrator level Logistics This is an onsite role based out of our San Francisco office. We're looking for someone who wants to be present in the office consistently — typically at least four days per week. The work is in-person by nature: engaging with employees, inspections, drills, committees, incident response, and the kind of in-the-room presence that builds trust with everyone in the workplace. You'll occasionally travel to our other US offices (Seattle, New York City) as needed to support inspections, drills, audits, and incident response. We expect this to land in the 5–10% range, varying by quarter and incident volume. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $180,000 - $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: We're looking for a personal security program manager to support a fast-growing GSIS (Global Safety, Intelligence & Security) function. Reporting to the Protective Service Senior Manager, and working within the broader direction the Protective Services Lead sets, this role sits at the intersection of corporate security fundamentals and program management execution. You'll execute a defined slice of the policies, processes, and reporting that let the function scale, working within scope your manager sets rather than defining that scope yourself, and you'll support cross-functional projects of low to moderate complexity. This is not a purely administrative role. You'll need enough security domain grounding to work credibly alongside experienced practitioners, enough program discipline to execute reliably against a defined plan, and enough judgment to know when to flag something up rather than push forward on your own. Most of what you touch will already have a framework your manager has set; your job is to execute cleanly within it and surface what needs a decision above your level. Responsibilities: - Maintain the policy and procedure library for your assigned GSIS sub-domain, following the framework your manager sets, flagging gaps rather than resolving them unilaterally - Support the GSIS metrics and reporting framework for your assigned scope: pull together operational health and status updates on a defined cadence - Execute assigned tasks in the build-out of net-new capabilities, under close direction from the Senior Manager or Lead; contribute to documentation and training materials - Act as first point of contact for lower-complexity stakeholder requests within your assigned domain, resolving directly where the answer is clear and routing everything else up with context - Contribute to audit-ready documentation within your scope, following existing templates and standards - Support cross-functional GSIS projects of low to moderate complexity, owning specific workstreams within a project rather than the project's overall scope, timeline, or stakeholder communication You may be a good fit if you: - Have program management experience in or adjacent to the corporate/physical security domain: you understand what a personal security program looks like, even if you haven't run one independently - Have contributed to a personal security program or capability build in a high-growth environment, including documentation, playbooks, or training materials - Bring working familiarity with at least one or two GSIS domains, with the speed and willingness to build fluency in others - Have supported the development of policies, procedures, or documentation that held up under review - Write clearly and can document security concepts for both specialist and non-specialist audiences - Are comfortable executing against a defined scope, and know to escalate when something shifts beyond that scope - Care about Anthropic's mission and the unique security considerations that come with building frontier AI systems Strong candidates may have: - Worked at an AI-focused organization, frontier technology company, or similarly high-growth, high-scrutiny environment - Some operational exposure to a GSIS discipline (intelligence analysis, threat assessment, investigations, executive protection, or security operations center work), even if not as the primary owner - Supported an organization through a security audit, compliance exam, or diligence process - Supported a security program with a regional or multi-site footprint Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $195,000 - $245,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is hiring an EHS Specialist to lead Environment, Health and Safety across our EMEA region. As Anthropic continues to scale globally — with a fast-growing footprint across the UK, Ireland, and continental Europe — we're investing in EHS expertise on the ground, where the work happens. We're looking for someone who's been the EHS go-to in a complex, multi-country environment — comfortable owning the day-to-day in their region while helping a small, growing team write the standards that make global EHS work at scale. You'll handle hands-on work — inspections, investigations, occupational health cases, committees, training — and you'll co-author the EMEA-tuned versions of programs we're building to meet UK, Irish, and EU regulatory expectations. You won't be doing this alone. You'll partner closely with the EHS Lead in the US, and with our growing in-region Workplace, Security, HR, and Legal teams. As we continue to expand the broader Global Safety and Security team in EMEA, you'll have peers around you to collaborate with on shared work. Responsibilities You'll own EHS execution across our EMEA sites — running onsite inspections, hazard and risk assessments, and ergonomic reviews on a regular cadence. You'll investigate workplace incidents, injuries, and illnesses, and manage occupational health cases through their lifecycle in coordination with our occupational health providers, HR, and Legal partners. You'll be the in-region face of EHS for our employees and our partners. That means standing up and supporting health and safety committees and emergency response teams in line with each jurisdiction's requirements (UK SRSCR, French CSE, Irish safety reps, and others as we expand), and engaging with landlords, building management, and contractors to make sure shared environments are safe and meet our standards. You'll co-build the EMEA versions of Anthropic's core EHS programs — emergency action plans, fire safety, ergonomics, contractor and vendor safety, occupational health, and training. Where we have a global standard, you'll tune it for UK, Ireland, France, Germany, and other EU markets. Where we don't have one yet, you'll help write it. You’ll serve as the in-region owner for fire safety and fire compliance - coordinating Fire Risk Assessments, tracking remediation, and supporting Responsible Person / duty-holder requirements under UK, Irish, and other European fire safety law. You'll lead our internally-facing environmental health work in the region — managing hazardous materials onsite, supporting our indoor air quality program, water safety (including Legionella), and lighting standards as they relate to ergonomics and design. You'll also help coordinate environmental reporting and data collection specific to our internal operations (sites we occupy directly — not data center or compute infrastructure). You'll support new-country and new-office stand-ups in EMEA — running pre-opening EHS assessments, advising on design and fit-out, and getting the right local programs in place before we go live. You'll deliver and coordinate EHS training to EMEA employees, manage EMEA EHS vendor relationships (occupational health, ergonomics, training, audit), and keep our EHS documentation, registers, and reporting systems accurate and current for the region. You may be a good fit if you - Have 7+ years of experience in a role with similar responsibilities, with meaningful time spent owning EHS for a region or as the lead in your geography - Have strong working knowledge of EHS regulatory frameworks across the UK and Ireland (HSE, HSA), and ideally additional EU jurisdictions (France, Germany, Netherlands) - Have working knowledge of fire safety regulation and compliance across Europe — e.g. the UK Regulatory Reform (Fire Safety) Order, Irish and German equivalents — including Fire Risk Assessments and duty-holder responsibilities - Are comfortable being the EHS expert in the room — translating regulatory requirements into clear decisions, and pushing back when something isn't safe - Are passionate about workplace EHS, and bring that energy to the people you work with - Have an ability to motivate and persuade others to collaborate, take action, and engage with EHS-related programs - Are resilient and adaptable in fast-paced, dynamic environments — comfortable with ambiguity and able to prioritize when everything looks urgent - Write clear, useful SOPs, playbooks, and program documents, and can create engaging presentations and training content - Have hands-on experience with software tools for EHS incident reporting, risk assessment, learning management, and related functions Strong candidates may also have - A Bachelor's degree in Occupational Health and Safety, Environmental Science, or another EHS-related field - NEBOSH National or International Diploma in Occupational Health and Safety - Chartered or Graduate membership of IOSH (CMIOSH, GradIOSH); CIEH or comparable Irish/EU equivalent - Familiarity with ISO 45001 (Occupational Health and Safety Management Systems) and ISO 14001 (Environmental Management Systems) - Experience with French CSE/CHSCT processes, DUERP, or German BetrSichV requirements - Background in occupational health, fire safety, or industrial hygiene - Experience standing up EHS programs for new offices or new countries - Excellent computer skills — quick to pick up new applications and systems at the user and/or administrator level Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €125.000 - €165.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an experienced Customer Marketer to build out customer stories across the industries building with Claude. Behind every Claude deployment is a story of an organization reimagining how it works. This role tells those stories by finding the verticals where customer evidence matters most, and turning our best examples into the references and announcements that drive adoption. This isn't a traditional customer marketing role focused solely on case studies. You'll work closely with customers across their journey with Claude — partnering with Sales to find the customers finding value with Claude, building the relationships that turn customer champions into authentic advocates, and working with Communications to land customer milestones as high-impact announcements. Where Claude is newly landing in an industry, you'll build the bench — cultivating early wins into referenceable customers and flagship narratives that open entire verticals. You'll operate with autonomy and speed, building the playbooks, processes, and frameworks that let customer storytelling scale across industries — and shaping how some of the world's most recognizable companies understand, implement, and champion beneficial AI systems. Key responsibilities: - Own customer storytelling for a subset of our Industries portfolio, from story identification through creation, approval, and distribution - Identify and prioritize new verticals where customer proof points will accelerate adoption, and build the story pipeline to match - Build a bench of referenceable customers and stories in industries where Claude is newly landing, developing accounts from early wins into flagship narratives - Build and nurture relationships with customer executives and champions to foster authentic advocacy, guiding each story from first conversation through approval and publication - Partner with Sales and account teams to pressure-test storytelling readiness and develop account-level advocacy plans that map each priority customer to the right story, format, and moment - Work closely with Communications to shape and time customer announcements, turning deployment milestones and expansions into coordinated press, content, and social moments - Work closely with our brand and creative team on customer video series, out-of-home campaigns, and other high-visibility creative moments that bring these stories to a broader audience Minimum qualifications - Excellent written and verbal storytelling abilities, proven through technical customer stories that drove business results - Experience building lasting relationships with technical executives and business leaders at the world's largest enterprises - A track record of guiding customers from early success to public advocacy, navigating stakeholder alignment, approvals, and brand and legal review along the way - Experience partnering with Communications or PR teams to turn customer milestones into announcements and press moments - Track record of creating effective content in multiple formats (text, video, speakers/content for events) - Data-driven approach to measuring and improving program impact - Ability to manage multiple priorities while maintaining high quality standards - Strategic mindset balanced with strong execution capabilities - History of successful collaboration across Sales, Product, and Communications teams Preferred qualifications - 6+ years of experience in customer marketing or customer advocacy, ideally in B2B SaaS or enterprise technology - Experience marketing with or to enterprises in traditional industries — manufacturing, energy, retail, media, travel, or similar — and an instinct for what resonates with buyers beyond the tech sector - Experience standing up customer marketing or advocacy programs in new markets, segments, or verticals from the ground up - Track record of successful customer advisory board (CAB) and executive event programming - Experience building and managing customer loyalty or community programs Role-specific policy: For this role, we expect staff to be able to work from our San Francisco or New York office at least once a month for cross-functional stakeholder engagement. Additionally, this role will require up to 40% travel for events and customer engagements. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $255,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is scaling compute internationally — growing our footprint in new countries. We're hiring a Country Lead to be the single, accountable owner of our compute strategy in Korea: the person who leads a team of cross-functional experts driving site selection, leasing, energy, financing, government relations and policy, community engagement, construction, and operations. This person will be ultimately responsible for bringing gigawatts of compute online in Korea. You won't build this alone. The specialist functions — leasing, energy, policy, construction, finance — are hired and managed centrally by functional leads based in San Francisco. Your job is to provide cross-functional leadership over that team in-country: coordinating and driving accountability across workstreams, while representing Anthropic externally with government and industry counterparts in Korea. This is a high-ambiguity, high-trust role for someone who can bring structure to a fast-growing, cross-functional effort without needing formal authority to do it. Responsibilities - Own the end-to-end strategy and coordination for Anthropic's compute build-out in Korea, from initial site selection through construction and operations. While each component will be run by subject matter experts, this role will act as the overall leader and coordinator of that team. - Serve as the primary point of accountability for cross-functional workstreams; leasing, financing, energy, government relations/policy, community engagement, construction, and operations. - Provide working leadership to the in-country cross-functional team, driving alignment and unblocking issues. - Represent Anthropic with government officials, utilities, energy providers, and other external stakeholders in Korea. - Build and maintain relationships within the Korean government and the energy industry to support site, power, and policy outcomes. - Track progress and surface risks across parallel workstreams as the country's compute footprint scales from initial sites to multiple gigawatts. - Translate between Anthropic's global compute priorities and the specific regulatory, political, and market conditions in Korea. Requirements - Korean national with established links into government and the energy industry strongly preferred. - Structured thinker with a track record of learning new domains quickly and going deep fast. - Excellent communicator, comfortable representing Anthropic to senior government, utility, and industry stakeholders. - Demonstrated ability to lead and coordinate cross-functional teams without direct line authority. - Hyper-organized and detail-oriented, with the ability to own multiple concurrent workstreams at once. - Comfortable with ambiguity; a problem solver who drives structure into undefined situations. - Background in energy, infrastructure, or a related sector. Nice to have - Prior experience with large-scale infrastructure or datacenter development. - Existing relationships with Korean federal or provincial government bodies relevant to energy, land use, or industrial development. - Experience managing or overseeing capital-intensive projects. - Familiarity with the compute, cloud, or datacenter industry. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is scaling compute internationally — growing our footprint in new countries. We're hiring a Country Lead to be the single, accountable owner of our compute strategy in Japan: the person who leads a team of cross-functional experts driving site selection, leasing, energy, financing, government relations and policy, community engagement, construction, and operations. This person will be ultimately responsible for bringing gigawatts of compute online in Japan. You won't build this alone. The specialist functions — leasing, energy, policy, construction, finance — are hired and managed centrally by functional leads based in San Francisco. Your job is to provide cross-functional leadership over that team in-country: coordinating and driving accountability across workstreams, while representing Anthropic externally with government and industry counterparts in Japan. This is a high-ambiguity, high-trust role for someone who can bring structure to a fast-growing, cross-functional effort without needing formal authority to do it. Responsibilities - Own the end-to-end strategy and coordination for Anthropic's compute build-out in Japan, from initial site selection through construction and operations. While each component will be run by subject matter experts, this role will act as the overall leader and coordinator of that team. - Serve as the primary point of accountability for cross-functional workstreams; leasing, financing, energy, government relations/policy, community engagement, construction, and operations. - Provide working leadership to the in-country cross-functional team, driving alignment and unblocking issues. - Represent Anthropic with government officials, utilities, energy providers, and other external stakeholders in Japan. - Build and maintain relationships within the Japanese government and the energy industry to support site, power, and policy outcomes. - Track progress and surface risks across parallel workstreams as the country's compute footprint scales from initial sites to multiple gigawatts. - Translate between Anthropic's global compute priorities and the specific regulatory, political, and market conditions in Japan. Requirements - Japanese national with established links into government and the energy industry strongly preferred. - Structured thinker with a track record of learning new domains quickly and going deep fast. - Excellent communicator, comfortable representing Anthropic to senior government, utility, and industry stakeholders. - Demonstrated ability to lead and coordinate cross-functional teams without direct line authority. - Hyper-organized and detail-oriented, with the ability to own multiple concurrent workstreams at once. - Comfortable with ambiguity; a problem solver who drives structure into undefined situations. - Background in energy, infrastructure, or a related sector. Nice to have - Prior experience with large-scale infrastructure or datacenter development. - Existing relationships with Japanese federal or provincial government bodies relevant to energy, land use, or industrial development. - Experience managing or overseeing capital-intensive projects. - Familiarity with the compute, cloud, or datacenter industry. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is scaling compute internationally — growing our footprint in new countries. We're hiring a Country Lead to be the single, accountable owner of our compute strategy in Canada: the person who leads a team of cross-functional experts driving site selection, leasing, energy, financing, government relations and policy, community engagement, construction, and operations. This person will be ultimately responsible for bringing gigawatts of compute online in Canada. You won't build this alone. The specialist functions — leasing, energy, policy, construction, finance — are hired and managed centrally by functional leads based in San Francisco. Your job is to provide cross-functional leadership over that team in-country: coordinating and driving accountability across workstreams, while representing Anthropic externally with government and industry counterparts in Canada. This is a high-ambiguity, high-trust role for someone who can bring structure to a fast-growing, cross-functional effort without needing formal authority to do it. Responsibilities - Own the end-to-end strategy and coordination for Anthropic's compute build-out in Canada, from initial site selection through construction and operations. While each component will be run by subject matter experts, this role will act as the overall leader and coordinator of that team. - Serve as the primary point of accountability for cross-functional workstreams; leasing, financing, energy, government relations/policy, community engagement, construction, and operations. - Provide working leadership to the in-country cross-functional team, driving alignment and unblocking issues. - Represent Anthropic with government officials, utilities, energy providers, and other external stakeholders in Canada. - Build and maintain relationships within the Canadian government and the energy industry to support site, power, and policy outcomes. - Track progress and surface risks across parallel workstreams as the country's compute footprint scales from initial sites to multiple gigawatts. - Translate between Anthropic's global compute priorities and the specific regulatory, political, and market conditions in Canada. Requirements - Canadian national with established links into government and the energy industry strongly preferred. - Structured thinker with a track record of learning new domains quickly and going deep fast. - Excellent communicator, comfortable representing Anthropic to senior government, utility, and industry stakeholders. - Demonstrated ability to lead and coordinate cross-functional teams without direct line authority. - Hyper-organized and detail-oriented, with the ability to own multiple concurrent workstreams at once. - Comfortable with ambiguity; a problem solver who drives structure into undefined situations. - Background in energy, infrastructure, or a related sector. Nice to have - Prior experience with large-scale infrastructure or datacenter development. - Existing relationships with Canadian federal or provincial government bodies relevant to energy, land use, or industrial development. - Experience managing or overseeing capital-intensive projects. - Familiarity with the compute, cloud, or datacenter industry. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an AV Operations Specialist, you'll be accountable for how the AV spaces perform, how support requests get resolved, and how events land in the space you're responsible for. This role will help own all areas within the AV landscape. In a given week you might execute a preventative maintenance sweep across a floor of conference rooms, work the support queue and drive a recurring failure to root cause, and then run technical coverage for an all-hands or an executive presentation that evening. You'll be the regional presence our AV Engineering and Production teams build on — the person who catches problems before users report them, and who turns what you learn on the ground into standards the rest of the team can run from. Your work directly enables the collaboration and transparency that advance our AI safety mission. Responsibilities Site Ownership & Room Health - Serve as the AV owner for your office — accountable for the health, readiness, and performance of every room and event space in the building - Execute preventative maintenance programs and recurring room sweeps on a defined cadence, not only in response to tickets - Maintain accurate inventory of room systems, peripherals, wireless microphones, cameras, and portable production gear, including spares strategy and replacement cycles - Coordinate AV scope for office moves, room reconfigurations, and new-space readiness in partnership with Workplace and AV Engineering - Know your estate: maintain the room documentation, as-builts, and site-specific gotchas that make your office supportable by anyone on the team Support Operations - Help own the AV support queue — triage, prioritization, resolution, and escalation with clear diagnostic context - Participate in the regional AV on-run rotation (West, East, or EMEA), covering AV issues during local business hours alongside the daily room-check discipline - Systematically isolate faults to a point in the signal chain rather than reaching for reboots and cable swaps - Drive recurring issues to root cause and surface them to AV Engineering as candidates for platform-level or design-level fixes - Contribute to runbooks, standard operating procedures, and knowledge base documentation that other technicians follow Event Support & Production - Provide technical coverage for live and hybrid events in your office — from small executive presentations and team meetings through to all-hands and company-wide broadcasts - Operate event production systems including audio consoles, video switchers, camera systems, playback, and streaming encoders - Run pre-event readiness: walkthroughs, rehearsals, source checks, gear staging, and failover planning - Handle scoping conversations with requesters — translating what a stakeholder wants the event to feel like into an equipment and staffing plan that fits the team's SLA - Turn novel one-off events into repeatable standards — a template, runbook, or gear list that makes the next one easier for the whole team Vendor Direction & Cross-functional Partnership - Direct AV integrators, contractors, and event labor on site, holding them to defined scope, SLAs, and quality standards - Partner with Workplace, Events, and IT on lead times, expectations, and readiness - Act as the regional feedback loop to AV Engineering — what's failing, what's missing, and what the standard should be - Communicate status, risk, and resolution to non-technical stakeholders in clear, calm, jargon-free language You May Be a Good Fit If You: - Have 8+ years of hands-on experience in AV operations, workplace technology, or technical event support - Have owned a standing estate — the same rooms, the same stakeholders, week over week — and were accountable for how those spaces performed over time - Bring working fluency across room systems, event audio, video, camera, and streaming, with enough depth to diagnose problems rather than only report them - Are comfortable being the only AV person in the building, and can prioritize independently across maintenance, support, and events - Bring structure to ambiguity — checklists, intake processes, maintenance cadences, and documentation - Are energized rather than drained by being the front-facing technical partner to executives, event producers, and everyone else who walks up to you in a hallway - Take ownership end-to-end, from noticing a recurring failure to getting it permanently fixed - Thrive in a fast-moving environment where standards are being written rather than inherited Strong Candidates May Also Have Experience With: - Q-SYS DSP platforms — comfortable navigating and reasoning about existing audio/video routing and control designs - Logitech CollabOS and Sync, Google Meet hardware, Zoom Rooms, and enterprise room system administration - Preventative maintenance and room-sweep programs across a distributed room fleet - Broadcast video switchers such as Blackmagic ATEM, Ross Carbonite, or NewTek TriCaster - Digital audio mixing consoles such as Yamaha DM7 or CL/QL series, and Shure wireless systems - PTZ camera systems and multi-camera workflows - Ticketing and workflow systems such as Jira, and participation in an on-run rotation - Coordinating AV contractors, integrators, and labor for site support and event coverage - CTS certification or equivalent demonstrated capability Role Specific Location Policy: - This role will be based in our San Francisco or New York office - This role is expected to be in office 5 days per week - Occasional evening and early-morning coverage is expected around major events - 2-4 weeks of travel annually may be expected for this role for distributed support, office buildout support, and event coverage as needed Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 - $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're hiring our first dedicated international tax professional in Asia-Pacific, based in Singapore. You'll be a key member of Anthropic's tax team, reporting to our Head of International Tax Operations / Business Advisory and working closely with tax colleagues in Dublin and our San Francisco headquarters. As APAC Tax Lead, you'll own direct tax compliance and advisory across our Asia-Pacific entities and operations (Japan, Korea, India, Singapore, Australia, Taiwan) and help build tax infrastructure to support Anthropic's rapid international expansion. Key responsibilities - Lead APAC direct tax compliance, working with external advisors (KPMG, PwC, Deloitte) to ensure timely and accurate filings across all jurisdictions - Support transfer pricing documentation and intercompany transactions for APAC entities, including cost-plus arrangements and intercompany service agreements - Manage withholding tax positions and treaty relief on cross-border flows, including customer receipts and vendor payments - Advise on permanent establishment risks, entity structuring, and operational tax considerations as Anthropic expands APAC commercial and infrastructure activities - Support the tax side of regional infrastructure expansion, including data center, colocation, and subsea cable arrangements and new entity formations - Partner with indirect tax personnel on VAT/GST and consumption tax matters to align on tax strategy and overall compliance requirements - Partner with Finance, Legal, and People teams on payroll taxes, equity compensation, and employee mobility matters - Build relationships with local tax authorities and manage any inquiries or audits - Contribute to global tax projects including public company readiness, SOX compliance, and tax technology implementations - Working with indirect tax team on advisory and compliance and audit assistance Minimum qualifications - Strong technical knowledge of corporate tax in one or more major APAC jurisdictions and cross-border tax issues across the region - Deep experience with transfer pricing documentation, intercompany agreements, and withholding tax and treaty analysis - CPA, CA, CTA, or equivalent professional qualification - Excellent communication skills and ability to work across time zones with US and European colleagues - Self-starter who thrives in ambiguity and can build processes from the ground up Preferred qualifications - 12+ years of international tax experience, ideally with a mix of Big 4/advisory and in-house roles - Exposure to technology or high-growth company tax matters - Experience with the tax aspects of data center or infrastructure buildouts - Knowledge of Pillar Two/global minimum tax rules and digital services taxes - Experience with Indian direct tax matters, including permanent establishment and withholding tax issues - Experience supporting IPO readiness or public company tax compliance - Regional language skills - Experience with systems buildout or automation Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Enterprise Marketing generates demand for Claude among businesses. Strategy & Operations is the operating system behind it: we run the cadence through which the org plans, decides, and holds itself accountable. This is a foundational role, and the systems you will own do not exist yet. You will not spend your first year arguing that the function deserves a seat. What you build becomes how Enterprise Marketing runs as it scales. The operating rhythm is the center of the job. It is the weekly, monthly, and quarterly cadence through which leadership sees the right numbers and decides. It is how the org talks to itself: where information moves, where it gets lost, and whether the all-team meeting is worth the hour it costs. And it is the planning cycle. Twice a year, six functions, from product marketing to demand generation, have to agree on what Enterprise Marketing is doing and what it is not. You author the directional targets and define the framework everyone plans against, then aggregate what the functional leaders produce into one coherent story. They own their plans. You own the process, the math, and the coherence of the whole. Underneath it sits an evidence problem. You will build a return on investment framework from scratch with our finance partners, connecting spend and headcount to output performance, then use it to set targets that hold up and tell leadership a story they can act on. You will also use Claude to make this team faster and more rigorous: what to automate, what to leave alone, and how to know the difference. What you learn becomes the proof Enterprise Marketing shows customers. Structure earns its place here by helping people decide faster. Process for its own sake does not. You write the memo, build the financial model, and run the meeting yourself. Key responsibilities - Design and run the operating cadence: the weekly business review, the monthly all-team meeting, monthly finance and recruiting reviews, and quarterly business reviews. The weekly review is where decisions get made, not where status gets reported. - Improve how Enterprise Marketing communicates internally. Cut the noise in our written channels. Design all-team meetings and leadership offsites that produce decisions. - Run the annual and half-year planning cycle. Author the top-down directional targets, backsolved from the company's revenue goals, for leadership ratification. Pressure test those plans without holding authority over the teams that wrote them. Surface where a plan does not add up, and work with the owner to close the gap. - Aggregate the plans into Enterprise Marketing's input to marketing's annual priorities. When they exceed what the org can fund, bring leadership the evidence and the options. - Build the spend efficiency and return on investment framework from scratch, working with our finance partners. - Connect budget and headcount investment to output performance. Turn the analysis into recommendations executive audiences act on, and stand behind your numbers under scrutiny. - Baseline how Enterprise Marketing uses Claude tools and publish the first honest picture of where it is and is not doing the work. - Sequence what Claude should take on, set the success criteria before the work starts, and decide what should not be automated. Report what each change returned. That evidence is what Enterprise Marketing shows customers. Minimum qualifications - Background in marketing operations, strategy and operations, or business operations, operating independently without program management or analyst support - Have built operating cadences, planning processes, or business reviews from scratch in a fast-moving, ambiguous environment - Have run an annual planning cycle end to end: built the framework, cascaded targets, collected plans from teams you did not manage, and aggregated them into one narrative - Can pressure test another team's plan and surface where it does not add up, without holding authority over them - Are hands-on with financial modeling in spreadsheets, and can build a framework that measures spend efficiency or return on investment - Can write for executive audiences: business documents, recommendations, and reporting that a senior leader can read once and act on, and that you can stand behind under scrutiny - Have used AI tools to make your own or a team's workflow measurably faster, and can explain how you knew it worked - Are fluent with spreadsheets, business intelligence dashboards, project management software, and marketing or CRM systems such as Salesforce or HubSpot Preferred qualifications - Have owned the operating cadence and planning process for an organization of 100 people or more - Have built a spend efficiency or return on investment framework where none existed before you arrived, and partnered with finance counterparts on the business case behind it - Experience operating across two or more leadership organizations with different priorities and operating styles - Have redesigned how an organization communicates internally, whether meeting structure, messaging norms, or information flow - Time at high-growth technology companies, including at least one known for the strength of its marketing organization - Familiarity with pipeline measurement, marketing attribution, and lead funnel operations - Working knowledge of SQL or business intelligence tooling Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco office at least 2 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Public Sector Solutions Marketing Lead at Anthropic, you will be the strategic architect of our agency, federal, state, local and international government marketing efforts, positioning Claude as the trusted AI partner for policy makers, public sector knowledge workers and beyond. This is a pivotal role that requires deep understanding of the public sector ecosystem combined with the ability to craft compelling positioning and messaging around AI's benefit to citizens and residents worldwide. You’ll serve as the dedicated marketing interface for Anthropic's Public Sector teams, owning the coordination and execution between public sector initiatives and Anthropic's broader marketing function. Working closely with sales, product, partnerships and communications teams, you’ll be responsible for bringing public sector launches, features, and messaging to market through various channels while ensuring cohesive positioning across audiences. This role demands someone who can set vision and strategy while being hands-on with execution—from launching product capabilities like Claude for Government and sector-specific MCP integrations, to quarterbacking demand generation campaigns that drive adoption. Working at the intersection of AI ethics, global development, and growth marketing, you'll help shape industry conversations around responsible AI deployment while driving measurable pipeline and impact results. Key responsibilities - Develop and execute comprehensive marketing strategy for Public Sector across key verticals: federal agencies, state and local government, defense, regulatory bodies, public utilities and more. - Craft differentiated positioning and messaging across solutions pages, campaign materials and content for distinct audiences within the vertical. - Lead go-to-market for product and solution launches including sector-specific offerings and relevant MCP integrations and skills (LMS platforms, nonprofit, scientific research tools, etc.). - Partner with communications on executive thought leadership regarding AI's potential to benefit underserved communities, including flagship announcements in the context of key initiatives like Claude for Government. - Work with the social and content teams on a public sector content calendar that highlights use cases, case studies, and partnership announcements. - Drive thought leadership initiatives and speaking / event opportunities relevant to the public sector - Enable sales teams with compelling materials, outbound campaigns, and pipeline-driving initiatives for public sector enterprise accounts and higher education institutions - Report on which channels and campaigns are driving results and identify opportunities for iteration Minimum qualifications - Thrive in a 0-to-1 environment—can build processes where none exist and navigate ambiguity across a complex stakeholder landscape ration and campaign execution - Are an adaptable generalist with exposure and competency within multiple marketing functions (content, campaigns, social, analytics, sales enablement) - Have strong written and verbal communication skills, with an ability to translate complex AI capabilities into clear, compelling narratives for non-technical audiences - Are a quick learner who can absorb context on diverse government verticals and procurement cycles rapidly - Excel at cross-functional collaboration—comfortable being the connective tissue between product, sales, partnerships, communications, and marketing teams. - Are passionate about AI's potential to benefit underserved communities while maintaining focus on responsible, equitable deployment Preferred qualifications - Have 8+ years of marketing experience with meaningful exposure or genuine interest in the public sector, government technology, or GovTech space - Have direct experience marketing to government audiences, including familiarity with federal, state/local, or international public sector procurement processes - Have worked in or with public sector organizations and understand the distinct priorities and decision-making dynamics of government buyers - Possess experience with event marketing at public sector conferences (e.g., GovTech, ACT-IAC, NGA, NIST-adjacent events) - Have a background in enterprise sales enablement, particularly in complex or regulated industries - Show a track record of building marketing programs from scratch at a growth-stage company - Demonstrate interest in the responsible deployment of AI in public-facing contexts, including an awareness of the ethical considerations unique to government use cases Role-specific policy: For this role, we expect staff to be able to work from our Washington, D.C. or San Francisco office at least once a month for cross-functional stakeholder engagement. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's model releases help us advance the frontier of both model intelligence and model safety. Each one brings research, product, policy, legal, communications, sales, and every part of marketing together around a single moment. You'll build and run the operating system behind that: the launch calendar, the plan of record for every deliverable, the path materials take through review, and execution on launch day. You'll treat the launch process itself as a product — one with users across the company, a quality bar, and a roadmap — and drive adoption through influence. This is a hands-on, high-ownership role on a lean product marketing team. When launch volume peaks, you'll contribute directly as a product marketer across all products and surfaces. If you've run launches where many moving parts had to converge at the same time, and you'd rather design the system than run it by hand, we'd like to meet you. Key responsibilities - Own the model launch calendar and sequencing across a broad portfolio of releases, coordinating timing with partner teams across marketing, product, and communications - Own the plan of record for each launch — deliverables, owners, dependencies, and deadlines — and surface risks early enough to act on them - Own the path launch materials take through review, partnering with legal, policy, research, and communications so reviews happen in the right sequence against dates people can plan to - Drive decisions and alignment across senior cross-functional stakeholders without direct authority - Own launch-day execution: sequencing, timing, access, and the operational readiness of everything that goes live together - Own the internal resources our field teams reach for first, along with the operational side of enablement — scheduling, speakers, and materials logistics - Develop and improve launch processes, playbooks, and operational frameworks that scale beyond any one launch - Own launch retrospectives, recurring product communications, and — when volume requires it — launch materials themselves Minimum qualifications - Have owned launch or release operations end to end, and been accountable for launches landing on time and in good shape - Have built or substantially improved a launch or release process - Treat process as a product — you care whether people adopt what you build, and you measure it - Background in product marketing, product operations, technical program management, and launch production all fit - Work well when priorities and timelines shift, and can keep a complex plan coherent as details change - Are effective at driving decisions across senior stakeholders without direct authority - Have a technical background with the ability to understand and communicate complex AI concepts to both technical and non-technical audiences - Write clearly, and can produce launch-ready material - Are energized by ambiguity and moving fast in a rapidly evolving market Role-specific policy: For this role, we expect staff to be able to work from our San Francisco or New York office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Alongside our model releases, Anthropic ships a steady stream of launches across the rest of the portfolio — products like Claude, Claude Code, and the developer platform; solutions for enterprises and startups; and the safeguards work that keeps Claude safe and trustworthy. Each launch brings product, engineering, policy, legal, communications, sales, and every part of marketing together around a single moment. You'll be the central organizer of the product launch process for the product marketing team. You'll build and run the operating system behind it: the launch calendar, the plan of record for every deliverable, the path materials take through review, and execution on launch day. You'll treat the launch process itself as a product and drive adoption through influence. In a portfolio this broad, not everything can get the same attention, so you'll focus your time on the team's top priorities, putting the most energy behind the launches that matter most and keeping the rest running on the systems you've built. This is a hands-on, high-ownership role on a lean product marketing team. When launch volume peaks, you'll contribute directly as a product marketer across all products and surfaces. If you've run launches where many moving parts had to converge at the same time, and you'd rather design the system than run it by hand, we'd like to meet you. Key responsibilities - Serve as one of the core organizers of the product launch process end to end: collaborating with peers across product, operations, and GTM - Own the product launch calendar and sequencing across a broad portfolio of releases — products, solutions, and programs — prioritizing your time against the team's top priorities and coordinating timing with partner teams across marketing, product, and communications - Own the plan of record for each launch, like deliverables, owners, dependencies, and deadlines, and surface risks early enough to act on them - Own the path launch materials take through review, partnering with legal, policy, product, and communications so reviews happen in the right sequence against dates people can plan to - Drive decisions and alignment across senior cross-functional stakeholders without direct authority - Own launch-day execution: sequencing, timing, access, and the operational readiness of everything that goes live together - Own the internal resources our field teams reach for first, along with the operational side of enablement, including scheduling, speakers, and materials logistics - Develop and improve launch processes, playbooks, and operational frameworks that scale beyond any one launch - Own launch retrospectives, recurring product communications, and — when volume requires it — launch materials themselves Minimum qualifications - Have owned launch or release operations end to end, and been accountable for launches landing on time and in good shape - Have built or substantially improved a launch or release process - Treat process as a product — you care whether people adopt what you build, and you measure it - Background in product marketing, product operations, technical program management, and launch production all fit - Work well when priorities and timelines shift, and can keep a complex plan coherent as details change - Are effective at driving decisions across senior stakeholders without direct authority - Have a technical background with the ability to understand and communicate complex AI concepts to both technical and non-technical audiences - Write clearly, and can produce launch-ready material - Are energized by ambiguity and moving fast in a rapidly evolving market Role-specific policy: For this role, we expect staff to be able to work from our San Francisco or New York office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Reporting into Partner Operations & Systems within Partner Experience, this role is the operations generalist behind the partner program — an ecosystem growing quickly, with volume growing faster and an operational layer still being designed. The role has two anchors: intake — owning the front door for new process requests and building the intake process itself — and flexibility, serving as the generalist allocated to the most pressing operational issue at the time. You'll serve as the central hub for partner experience, working cross-functionally with Finance, RevOps, Sales, Enablement, Product, and Legal to ensure seamless execution of partnership strategy. Key responsibilities - Own intake for new process requests: triage, scope, and prioritize needs across the partner organization and decide what gets built - Design new partner operations processes from zero to one: stand up the workflow, documentation, and requirements, and iterate with data - Build new AI automations with Claude: create and run Claude-powered automations and AI workflows across partner operations, taking them from prototype to production and improving them with use - Take on special operations projects: join small cross-functional teams on priority initiatives - Run the process and data side of registrations, referrals, incentives, applications, and onboarding, keeping the data decision-grade - Encode program policy in the systems: work with program owners so rules are enforced by systems, and own data hygiene for the partner record of truth - Enable partners and internal teams: build the guidance partners, Partner Managers, and Account Executives need for new initiatives - Collaborate across go-to-market: partner with Sales, Finance, Enablement, Marketing, and Revenue Operations to stay aligned with the business - Measure what matters: establish service levels and report on volume, cycle time, and the metrics that show what to fix next Minimum qualifications - 4+ years in management consulting or investment banking, ideally paired with 1–3+ years in business operations, partner/channel operations, product operations, or a comparable role at an AI, enterprise software, or technology company - Strong project management ability with experience influencing cross-functional operational initiatives - Hands-on experience creating AI workflows with Claude or similar tools, and comfort running and improving them at operational volume - Experience with data analysis tools and reporting platforms (e.g., Hex, Looker, or similar) - Analytical mindset with the ability to derive actionable insights from complex datasets Preferred qualifications - Experience with deal registration systems, partner relationship management (PRM) platforms, and commission management tools - Previous experience at an AI/ML or other fast-scaling technology company - Experience with partner or channel program design, including tiering and program benefits - Hands-on Salesforce experience, including reporting, data imports, and workflow configuration - A track record of standing up operational processes, service levels, and reporting from scratch - Experience on a tiger team or task force assembled to solve high-priority problems quickly The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $170,000 - $215,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partner Sales Manager for Systems Integrators at Anthropic, you'll own a portfolio of global and regional SI partners and be responsible for the revenue they drive. This role sits at the intersection of partnerships and sales — you'll build trusted relationships with senior stakeholders at firms like Accenture, Deloitte, and PwC, and align on joint go-to-market plans. Your main stakeholders will be sales leaders at Anthropic - helping them to land and expand enterprise deals where partner involvement is the difference between winning and not. This is an early-stage motion, which means the playbook is still being written. You'll have real influence over how we engage SIs, what good looks like for partner-sourced pipeline, and how we equip integrators to build durable Claude practices inside their organizations. You'll report to the Head of Partner Sales and work closely with Sales, Solutions Architecture, Customer Success, and Product to make sure our partners have what they need to close — and to deliver transformative AI solutions for their clients. Responsibilities: - Work directly with Sales Leaders, Account Executives and Solutions Architects, bringing the partner into the sales cycle at the right moments and ensuring clear roles, clean handoffs, and shared accountability for outcomes - Build relationships across multiple levels of the partner organization — from practice leads and delivery teams to alliance executives — and serve as their primary point of contact at Anthropic - Own the commercial relationship with a portfolio of assigned SI partners, driving partner-sourced and partner-influenced revenue against defined targets - Develop and execute joint go-to-market plans with each partner, including target account mapping, pipeline generation activities, and co-sell motions with Anthropic's direct sales team - Collaborate with enablement and program teams to get your partners trained, certified, and equipped with the materials they need to position Claude effectively - Track pipeline health, forecast partner-attached revenue, and surface blockers early so cross-functional teams can help unblock them - Gather signal from partner interactions — what's landing, what's missing, where clients are pushing back — and feed it into product and go-to-market planning - Contribute to the development of partner sales processes, playbooks, and best practices as the function scales You may be a good fit if you have: - 7+ years of experience in partner sales, channel sales, alliances, business development or direct sales at a technology company where partners are heavily involved - A demonstrated track record of driving revenue through partners — you can point to pipeline you built, deals you influenced, and relationships that outlasted any single transaction - Strong commercial instincts, including comfort structuring co-sell agreements, navigating multi-party deal dynamics, and knowing when to push and when to let the partner lead - Experience operating in early-stage or high-growth environments where processes are still forming and you're expected to help build them - Excellent communication and relationship-building skills across all levels, from partner practitioners to alliance executives - A collaborative working style — you're energized by cross-functional work and understand that partner sales only works when Sales, Product, and Delivery are aligned - Comfort with ambiguity and a willingness to create structure where it doesn't yet exist - Willingness to travel to support partner relationships and joint customer engagements - A genuine interest in AI and a belief that advanced AI systems should be developed safely and responsibly Strong candidates may also have: - Experience working at a major Systems Integrator or global consulting firm, giving you firsthand insight into how these organizations make decisions, staff engagements, and build practices around emerging technology - A background in AI, cloud platforms, developer tools, or other categories where technical enablement and differentiation are central to the partner motion - Familiarity with consumption-based or API-first business models and how they shape partner economics and incentive design - Experience managing partner relationships across multiple geographies - A history of being an early member of a partner sales function and helping it scale The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $355,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Manager, Infrastructure Capex Accounting to join our Infrastructure Accounting team. In this role, you will execute day-to-day accounting for Anthropic's owned infrastructure assets — the GPUs, networking equipment, and data center buildouts underpinning our recently announced $50bn investment in American computing infrastructure. As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic's research and commercial success. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic's growing fixed asset base is accounted for and understood across the business. You will own end-to-end accounting for Anthropic's capex and fixed asset portfolio, working closely with cross-functional partners across Data Center Operations, Finance, and Legal. You'll apply deep technical accounting expertise under ASC 360, and help build the processes, controls, and systems that let this function scale. Responsibilities - Own end-to-end accounting for Anthropic's AI infrastructure capex and fixed asset portfolio, including monthly close, construction-in-progress (CIP) tracking, reconciliations, roll-forwards, and flux analysis - Apply technical accounting expertise to complex infrastructure arrangements under ASC 360 (capitalization, useful lives, impairment, disposals, and asset retirement obligations) - Partner with Data Center Operations, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made - Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on - Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems, particularly around asset receipt, deployment, and in-service dates - Help design and scale systems, processes, and controls to support a rapidly growing fixed asset portfolio - Collaborate with and mentor junior accounting professionals across the Infrastructure Accounting team - Serve as a key point of contact with external auditors on fixed asset and capex accounting matters - Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting You may be a good fit if you - Have 7+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies - Hold a Bachelor's degree in Accounting or Finance; CPA or equivalent preferred - Possess strong technical accounting knowledge of ASC 360, particularly as applied to infrastructure, data center, or compute-related assets - Have hands-on experience with a significant fixed asset portfolio in a high-growth environment - Demonstrate strong analytical abilities and comfort working with large, complex datasets - Have a track record of improving scalable financial processes in fast-moving environments - Have experience mentoring junior accounting professionals - Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders - Communicate clearly and influence effectively across cross-functional partners - Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency Strong candidates may have - Experience at hyperscalers, large compute consumers, or data center operators with exposure to infrastructure asset structures (including GPU clusters, networking equipment, and data center buildouts) - Experience with fixed asset subledger systems at scale - SQL proficiency for querying and analyzing large infrastructure and accounting datasets - Background in Big 4 accounting or advisory services combined with industry experience - Experience with complex data center buildouts or hybrid cloud / on-premise environments - Knowledge of AI/ML infrastructure and associated cost structures - Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation - Proven ability to navigate ambiguity and drive results in rapidly changing environments The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $160,000 - $190,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role AI has the power to dramatically accelerate the pace of scientific discovery and the development of healthcare interventions. We're hiring Anthropic’s first dedicated Life Sciences Counsel to work side-by-side with our researchers as they work to advance biomedical progress. You’ll serve as their trusted counsel on a wide range of efforts - from fast paced life sciences transactions with top research organizations to navigating the complexities of operating at frontier pace in a regulated ecosystem. This role carries unusual scope for a single lawyer: you will be the embedded legal partner to the team, while collaborating deeply across the broader legal department to pull in the wide range of subject matter expertise this strategic initiative will require for success. Key responsibilities - Serve as a key strategic advisor to our life science research teams on complex research, development, and commercial matters globally - Drive high deal volume with life science and biopharma counterparties across a range of sophisticated agreement types - Identify, analyze, and proactively manage life science regulatory risks in close coordination with the broader Legal department - Design and implement scalable guidance and processes to support our fast-growing life science efforts - Anticipate emerging legal developments affecting AI technologies in the life science and biopharma space and provide strategic guidance to leadership Minimum qualifications - JD and active membership in at least one U.S. state bar (California or New York preferred) - Real fluency in how the life sciences industry works: how drugs get developed, how research organizations are structured, what pharmaceutical and biotech counterparties care about, and why - Working knowledge of the regulatory environment life sciences tools may be deployed in — GxP, clinical and health data regulations, human-subjects research, FDA processes - Deep experience with negotiating and drafting complex IP allocation issues in multi-party research arrangements, including ownership of inventions and improvements - Excellent communication skills, with the ability to translate legal risk into practical guidance for scientists, researchers, and business partners - Experience scoping and managing outside counsel across specialties (FDA/regulatory, IP, privacy, export control) for both substantive depth and cost efficiency - Exceptionally collaborative disposition - with the ability to find creative solutions that account for multiple priorities at once - A low-ego, high-empathy orientation and a "doer" attitude — willing to roll up your sleeves and pitch in where needed - Intense curiosity about AI and science, and a commitment to responsible AI development Preferred qualifications - 10+ years of relevant legal experience, including substantial experience in life sciences transactional work — contract research, strategic collaborations, and licensing and commercialization deals — with the ability to operate independently and hit the ground running - Experience with AI/ML companies or products deployed into regulated scientific and clinical settings, particularly for drug discovery - Familiarity with biosecurity, dual-use research, or export control considerations in the life sciences - Experience leveraging AI to optimize their work, with a desire to work in a fast-paced, innovative environment - Scientific or technical training Role-specific policy: For this role, we expect all staff to be able to work from our New York offices at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $335,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an experienced VAT/GST professional to join our growing Tax team in our Dublin office. In this role, you'll be responsible for managing and advising on all indirect tax matters outside the United States, spanning Europe, UK, APAC, and other international markets. You'll work closely with our Global Indirect Tax team, compliance Lead and the broader tax team to develop and execute our international VAT/GST strategy as we scale our AI products globally. This is an exciting opportunity to join an AI safety company at the forefront of the industry and help build out our international indirect tax function from the ground up. You'll partner cross-functionally with Finance, Accounting, Legal, Product, and Go-to-Market teams to embed tax considerations into our global operations. Responsibilities Advisory & Planning - Provide VAT/GST advisory support on new product launches, pricing models, customer contracts, and go-to-market strategies across international markets - Advise on the indirect tax implications of corporate restructuring, entity establishment, and intercompany arrangements - Develop and maintain indirect tax positions and documentation for digital services across multiple jurisdictions - Support tax-efficient structuring for infrastructure procurement and and reseller arrangements - Monitor and assess the impact of regulatory changes, including EU VAT in the Digital Age, OECD initiatives, and local digital services tax developments Compliance Support & Collaboration - Work alongside the Global Indirect Tax Compliance Lead to support VAT/GST registration, filing, and compliance across 30+ jurisdictions - Assist with customer classification (B2B vs B2C), and place of supply determinations - Support audit defence and respond to queries from international tax authorities - Collaborate with external advisors across jurisdictions to ensure accurate and timely compliance Systems & Process - Partner with Finance Systems to ensure proper tax configuration within ERP, billing platforms, and tax engines for international transactions - Support testing and implementation of system changes affecting international indirect tax Key Jurisdictions - EU (with particular focus on Ireland as primary billing entity), UK, Switzerland - Australia, Japan, Singapore, and broader APAC - Canada, Latin America and emerging markets as Anthropic expands You may be a good fit if you - Have 8+ years of VAT/GST experience, with deep expertise in European and international indirect tax - Possess strong technical knowledge of VAT rules for digital services, including place of supply, B2B/B2C distinctions, and reverse charge mechanisms - Have experience in technology or SaaS companies, ideally with consumption-based, API, or subscription business models - Are skilled at translating complex business models into clear tax positions and advice - Can communicate complex tax concepts clearly to non-tax stakeholders across all levels - Thrive in fast-paced environments and are comfortable building processes where none exist - Ability to partner well with direct tax, transfer pricing and accounting personnel - Are proactive, self-starting, and able to work independently while collaborating effectively with a global team - Have excellent project management skills and attention to detail Strong candidates may also have - CTA, ATT, ACA, or equivalent professional tax qualification - Experience with Big 4 or national accounting firm indirect tax practices - Hands-on experience with tax technology solutions (Vertex, Avalara, Anrok, or similar) - Experience with ERP and billing systems (Workday, NetSuite, Stripe) - Experience managing relationships with tax authorities and handling audits - Familiarity with customs duties, digital services taxes The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €220.000 - €220.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's community spans developers building new products, individual Claude users, and practitioners and buyers inside enterprise accounts — from the staff engineer using Claude Code to C-Suite decision-makers. We're hiring a Head of Community to turn our current set of programs into a function that helps millions of people build real skills with Claude, measurably growing retained users and product adoption. You'll lead and grow a global team that covers ambassadors programs, regional community leads, and enterprise champion programs. Your job is to give this team a sharp operating model and a measurement framework that ladders our initiatives to business outcomes, so users can get the most out of Claude. You'll build community across audiences, seniority levels, functions, and roles: enterprise buyers and executive sponsors, developers and technical practitioners, and the knowledge workers in between. This role sits at the intersection of Product, Sales, PMM, Brand, and Comms. Key responsibilities - Own the global community strategy and operating model: the audience thesis, the portfolio of programs, and what's built centrally vs. run in-region - Lead, coach, and scale a global team of program and regional owners; hire the gaps, set the bar, and develop community-native operators - Define the measurement framework that replaces activity metrics: partner with Product and Data Science to define success metrics and segment the base (non-user → occasional → high-value daily) — with recurring retained users and product adoption as the top-line outcomes - Build community across the full range of audiences and seniority levels, with programs and voice tuned to each without fragmenting the experience - Connect bottoms-up adoption to enterprise expansion: architect the champions, train-the-trainer, and partner ecosystem motions that turn power users inside accounts into org-wide adoption, and integrate them into how Sales and CS run strategic account plans - Bring training, certification, enablement, and community help together into one engine that scales through champions and partners — so users experience a single path to skill-building with Claude - Partner tightly with Brand and Comms to keep sentiment and awareness healthy: define where community shows up in Anthropic's brand and how we best serve our users - Align community strategy proactively with product direction, launches, and pricing & packaging — owning community's job pre-launch, at launch, and post-launch, and proving it drives value for our users Minimum qualifications - Have built and led a community or customer advocacy function at a company where community was a growth lever, not a cost center — and can point to the retention, adoption, or expansion outcomes it drove - Have led and developed a distributed team of program owners and regional leads accountable for commercial impact - Think in funnels and segments as naturally as you think in programs: you're comfortable putting your name on a metric in a QBR and defending how community moved it - Have connected self-serve, bottoms-up adoption inside large accounts to enterprise expansion, and can articulate exactly where community sits in that motion - Can flex your playbook across very different audiences — a technical, API-first developer community and an enterprise executive buyer community are different jobs, and you've done versions of both - Operate as an integrated marketer: you've worked day-to-day with cross-functional teams and have strong opinions about how community stays customer-first - Are comfortable partnering with Product and Data Science to define usage quality, instrument it, and hold your team to it - Write and communicate clearly, hold a room with both a Staff engineer and a CIO, and are energized by ambiguity and building at speed Preferred qualifications - Run community or advocacy at a company operating both a PLG / self-serve motion and an enterprise sales motion at the same time - Built or led a recognized champions, ambassadors, or advocacy program at a company known for the model - Experience with developer tools, infrastructure, or AI products, and credibility with technical audiences - Built the measurement plumbing for a community function before including cohorting, attribution, and usage segmentation - International experience standing up or scaling community in-region (EMEA, Japan/APAC) with a clear philosophy on what runs centrally vs. locally - A track record of listening to communities and building user trust through hard moments alongside a Comms team - Background spanning more than one of: community, customer marketing, developer relations, customer education/enablement, or growth Role-specific policy: For this role, we expect staff to be able to work from our San Francisco or New York office at least once a month for cross-functional stakeholder engagement. Additionally, this role will require up to 40% travel for events and customer engagements. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $400,000 - $400,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Global Technology Partner Lead to build and scale our strategic partnerships with leading technology platforms. In this role, you'll own multi-dimensional relationships spanning product integrations, co-selling, channel enablement, and joint go-to-market execution — turning key partnerships into major revenue drivers for Anthropic while helping partners capture real value from the AI landscape. This is a foundational role: you'll build the Global Technology Partnerships function from the ground up, defining team strategy and establishing the operating model as the group scales. You'll operate at the executive level with partner leadership while also driving tactical execution across a portfolio of priority accounts. Key responsibilities - Build the Global Technology Partnerships function, including team development, operating model, goals, and overall strategy - Own the joint go-to-market relationship and joint business plan with a portfolio of named global technology partners - Define the joint value proposition for each partner in collaboration with account teams, including which products, use cases, and industries to prioritize - Build and maintain executive relationships within partner leadership teams, identifying their largest transformation opportunities - Develop competitive positioning and enablement programs across partner sales and technical teams - Create sales tools, training curricula, and certification programs that equip partner teams to effectively position Claude - Partner with marketing on co-marketing, events, and joint customer stories - Partner with technical teams to build production-grade, Claude-powered solutions, including reference architectures and industry-specific accelerators - Establish success criteria for joint accounts, ensure implementation support, and create feedback loops for continuous improvement - Own the partnerships' P&L contribution and establish metrics and governance for partner performance Minimum qualifications - Experience managing strategic partnerships with technology, cloud, or data platform companies - Experience owning revenue-generating partnership or channel relationships, including forecasting and pipeline management - Experience structuring and negotiating complex, multi-stakeholder partnership agreements - Experience engaging directly with executive-level stakeholders at partner organizations - Experience partnering cross-functionally with engineering or technical teams on product integrations Preferred qualifications - 8+ years of experience managing strategic partnerships with leading data or cloud platforms - Existing relationships with VP-level and above leaders within technology partner organizations - Experience owning partnerships that generated $50M or more in influenced or direct revenue - Familiarity with the AI and data platform landscape and ability to articulate Claude's technical differentiation - Experience building partnership programs, metrics, and operating cadences from the ground up - Technical understanding of enterprise architectures, software, and data services The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 - $425,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Machines FP&A lead to own financial planning for the chips and accelerators that run our models. You will own the hardware forecast and budget, keep leadership's view of machine spend current, and be the single finance point of contact for machines into Accounting and consolidated FP&A. In this role, you will be a key partner to our capacity planning and hardware teams, and work day to day with the Compute deal team, Accounting, and the consolidated FP&A team. Key responsibilities - Own the hardware forecast: delivery volumes, lease and financing expense, and cash flows - Run budget vs. actuals for machine spend: one view of what the fleet costs and why it moved - Serve as the single point of contact for machines in forecast and close cycles with Accounting and consolidated FP&A - Coordinate forecast inputs with Capacity Planning and the Compute deal team - Track spend and cash-flow phasing against multi-year hardware commitments - Partner with Accounting on the treatment of leases and related agreements - Support chip and accelerator economics analyses led by the Machines finance team - Build the reporting that keeps leadership's machine spend picture current Minimum qualifications - Owned a forecast or budget end to end at a hardware, semiconductor, hyperscaler, or infrastructure-heavy business - Strong driver-based modeling skills and budget-vs-actual / variance discipline - Comfort partnering closely with engineering and commercial teams under deal-timeline pressure - Passion for Anthropic's mission to build safe, transformative AI systems Preferred qualifications - 7+ years in FP&A, strategic finance, or capacity/infrastructure finance - Capacity planning or infrastructure FP&A experience at a hyperscaler or major chip maker - Experience building forecast infrastructure for a new or fast-changing spend area - Lease and long-term-agreement accounting fluency - MBA, CFA, or equivalent The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 - $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're looking for a technology program manager to own the technical needs that follow our executives outside the four walls of the enterprise: their homes, their vehicles, and their travel. Reporting to the Protective Services Lead, this role sits at the intersection of physical security technology, hands-on program delivery, and vendor management. The Engineering & Technology Lead sets the architecture and strategic plan for security technology across GSIS; you'll own execution for the personal and residential slice of that footprint, the systems that protect executives and their families wherever they actually are, not just at the office. This is not a coordination-only role. You'll need enough technical fluency to make good calls on the ground without waiting for architecture sign-off on every decision, enough program rigor to keep vendors and installs on track, and enough judgment to know when something belongs back with the Protective Services Lead because it touches strategy or standards beyond your scope. Much of the documentation you produce will be read by people who never see the systems themselves, so clarity matters as much as technical correctness. Responsibilities - Own residential security system design, integration, and lifecycle management for assigned executive residences (cameras, alarms, access control, sensor networks), aligned to the standards set by the Protective Services Lead - Own home network design and hardening for executive residences and travel, coordinating with corporate IT/InfoSec standards where they intersect - Manage the technology side of travel security: secure communications provisioning, single-use travel hardware, and rapid-deployment kits for new or temporary properties - Manage the vendor relationships and contracts for the residential and personal technology stack, installers, monitoring providers, communications providers, within the governance framework the Protective Service Lead sets - Maintain system health monitoring, managed maintenance, and as-built documentation for technology deployed outside the enterprise perimeter - Own decommissioning and transition of technology when properties or vehicles change, so nothing orphaned (access, data, or hardware) gets left behind - Act as first point of contact and triage for executive and family requests involving personal technology and security systems, resolving directly where you can and routing to the Protective Services Lead when it requires a broader architecture or strategy decision - Contribute audit-ready documentation for the technology under your ownership to support regulatory, customer, and partner diligence requests You may be a good fit if you - Bring hands-on physical security technology experience from residential, travel, or personal-protection contexts, not only corporate/enterprise systems - Have solid program management experience delivering security technology, you know what a well-run install, vendor relationship, or rapid deployment actually looks like - Have contributed to or led the build of security technology capabilities from zero in a high-growth environment, including documentation, playbooks, and training - Can manage vendor relationships through a full lifecycle: selection, contracting, onboarding, performance management, and renewal - Write clearly and can translate technical tradeoffs for audiences that range from engineers to principals to household staff - Are comfortable operating with moderate ambiguity, and know when a decision is yours to make versus one that belongs with whoever owns the broader technology strategy - Care about Anthropic's mission and the unique security considerations that come with building frontier AI systems Strong candidates may also: - Have 10+ years of experience delivering physical security technology programs - Have direct experience with residential or executive-protection-adjacent technology deployments specifically, not just corporate office systems - Have worked at an AI-focused organization, frontier technology company, or similarly high-growth, high-scrutiny environment - Have managed distributed vendor networks across multiple properties or regions Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $245,000 - $305,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with top enterprises, unlocking new value streams throughout their business. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: - Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch - Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns - Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge - Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience - Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: - 5+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach - A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions - Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups - Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders - Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives - A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player - A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities - A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €205.000 - €255.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to retail organisations across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with retail brands. You'll leverage your consultative sales expertise in the retail sector to propel revenue growth while becoming a trusted partner to retail stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in merchandising, customer experience, and store operations. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with retail decision-makers. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: - Win new business and drive revenue for Anthropic within the retail sector. Navigate complex retail organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close - Design and execute innovative sales strategies tailored to retail procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze retail market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns - Spearhead market expansion by identifying new use cases within merchandising teams, e-commerce divisions, and store operations. Collaborate cross-functionally to differentiate our offerings for retail applications - Navigate complex retail stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus - Inform product roadmaps and features by gathering feedback from users and conveying retail market needs. Provide insights that strengthen our value proposition for retail - Continuously refine the retail sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: - 8+ years of B2B sales experience in SaaS, API solutions, or emerging technologies. - A track record of managing complex sales cycles within retail organisations and securing strategic deals by understanding both technical requirements and retail use cases - Demonstrated ability to navigate retail organisational structures and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments - Extensive experience negotiating complex agreements within retail procurement frameworks and policies - Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently to various retail audiences, from merchandisers and category managers to senior executives - Deep understanding of retail buying cycles, decision-making processes, and key pain points - A strategic, analytical approach to assessing the retail market combined with creative, tactical execution to capture opportunities - A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for retail use The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £280,000 - £330,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are hiring a Strategic Sourcing lead to drive development and execution of procurement strategies to help scale Anthropic's Data Center electrical and mechanical Owner Furnished Equipment (OFE) footprint. In this role, you will own end-to-end sourcing strategies for critical electrical and mechanical infrastructure such as generators, switchgear, UPS systems, chillers, and cooling equipment. You will partner closely with engineering, demand planning, construction, and third parties to drive equipment availability, establish vendor relationships, and negotiate commercial agreements. As a sourcing lead focused on key Data Center equipment, you will play a critical role in helping Anthropic to achieve its ambitious scaling goals. Key responsibilities - Drive commercial negotiations and Master Purchase Agreements for critical electrical and mechanical infrastructure such as generators, medium- and low-voltage switchgear, transformers, UPS systems, chillers, cooling towers, CRAHs, and pumps. - Audit partner procurement schedules, ensure optimal allocation, and drive cost efficiency of supply in constrained markets. - Implement frameworks for ensuring third-party data center partners and general contractors adhere to commercial equipment terms and technical specifications. - Develop global inventory strategy including warehousing, third-party logistics, buffer stock, and distribution models to accelerate time to market and improve availability. - Proactively monitor global supply chain volatility (e.g., lead times for transformers, generators, and switchgear) and execute contingency plans to avoid critical project delays. - Translate construction and capacity roadmaps into equipment forecasts and procurement pipelines. - Partner with Finance to optimize inventory and capital deployment strategy. - Establish efficient return, repair, and replacement workflows with OEMs to restore failed equipment quickly. - Negotiate warranty, startup/commissioning support, and spare parts terms, and track vendor performance Minimum qualifications - Have 7+ years experience in supply chain management, sourcing, and procurement. - Have a track record of developing processes for forecasting, planning, and managing data center electrical and mechanical equipment for build-out and/or operations. - Are familiar with data center electrical and mechanical equipment (e.g., generators, switchgear, transformers, UPS, batteries, chillers, cooling towers, CRAHs/CRACs, pumps, CDUs). - Possess a bachelor's degree in a relevant domain (e.g., electrical/mechanical engineering, construction management, supply chain) or equivalent practical experience. Preferred qualifications - 10+ years experience in supply chain management, sourcing, and procurement. - 5+ years experience in data center or critical environment infrastructure. - Experience working with general contractors, MEP integrators, OEMs, and equipment distributors. - Experience working on data center construction programs. - Familiarity with liquid cooling equipment (CDUs, dry coolers, manifolds) and battery energy storage systems. - Leadership and influencing skills. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an experienced Customer Programs Manager to build the operational foundation that allows our customer marketing engine to scale. As our advocacy and co-marketing programs grow across startups, digital-native businesses, and enterprise accounts, we need someone who can turn our scaled co-marketing program into a well-instrumented, repeatable and measurable system. You'll deploy resources and capital to create compelling customer stories across formats, and amplify them across both bespoke partnerships and agency-run campaigns. You’ll also own the broader customer marketing intake process and its tooling, and the system of record for how customers participate across advocacy and co-marketing. You'll work closely with Sales, Partnerships, Marketing, Finance, and Brand, reconciling co-marketing spend each quarter, briefing agencies on which stories we want to tell, and partnering with Marketing Ops and Data Science to build the measurement framework we use to report back to leadership on impact. You'll help shape how a rapidly growing function operates, at a moment when customer proof is one of the most powerful levers we have for building trust in beneficial AI. Key responsibilities: - Own the investment behind our customer co-marketing programs, covering allocation tracking, spend pacing, agency coordination, and quarterly budget reconciliation across a rotating cohort of customer accounts - Develop and execute co-marketing plans with participating customers that grow Claude adoption and the customer's own reach, coordinating with Growth Marketing on campaign strategy. - Run the always-on scaled co-marketing motion, co-producing high-quality creative assets with a rotating cohort of customers and deploying agency partners to amplify them as paid campaigns on the customer's own channels - Partner with Customer Marketing, Sales, and Partnerships to decide which customers we work with and build the criteria that keep those decisions consistent - Own the customer marketing intake process and its tooling, keeping it the system of record and building the playbooks that keep it consistent as we scale, partnering with Customer Marketing segment leads who own triage and prioritization for their segments - Define how we measure the impact of our customer marketing investments, working with Marketing Ops and Data Science, and use that measurement to shape investment decisions with leadership - Report back to participating customers on what their participation returned, measured on the outcomes they care about, like reach, engagement, and new customer acquisition - Use Claude as a core part of your operational toolkit — building skills, automating intake and triage, and finding leverage wherever a process can be made faster or smarter for the Customer Marketing team Minimum qualifications - Managed co-marketing growth or partner investment programs and are comfortable with the reconciliation, forecasting, agency coordination, and stakeholder reporting that comes with it - Managed agencies as a working partner, developing the brief, directing the work, and holding the quality bar on co-branded creative - Built joint marketing plans with partners or customers that served their goals as much as your own - Working knowledge of demand generation and paid social and the ability to optimize campaigns - Experience defining how a program gets measured and proving its impact, both to your own leadership and back to the customer in the terms they care about - Existing fluency with Claude, and the instinct to reach for it to automate, analyze, and scale your own work - Comfort building in a fast-moving environment where the program, the budget, and the priorities are all still taking shape Preferred qualifications - 7+ years in B2B SaaS marketing, including at least 3 years in customer marketing. Partner marketing or program management experience is a strong plus. - Experience operating co-marketing or partner marketing programs at a developer-focused or AI/ML company - Background in revenue operations or marketing analytics, and hands-on comfort in Salesforce and BI tooling - Experience proving incremental program impact against a comparison group rather than reporting activity - Experience standing up or owning the tooling behind a marketing program — intake forms, workflow automation, dashboards, or a customer participation database - Comfort working closely with Sales teams and an understanding of how customer marketing supports pipeline and retention Role-specific policy: For this role, we expect staff to be able to work from our San Francisco or New York office at least once a month for cross-functional stakeholder engagement. Additionally, this role will require up to 40% travel for events and customer engagements. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. We are seeking an experienced Program Manager for a critical pillar of our Program Management function: Commercial Operations. This role will transform our commercial infrastructure into a revenue accelerator, building and executing the operational leverage that enables Anthropic to maintain velocity as we scale. You'll be responsible for managing and enhancing processes that support rapid product growth. The ideal candidate combines strategic thinking with operational excellence, someone who can both envision where we need to be in 12 months and build the infrastructure to get us there. Responsibilities - Play a central role on the team that runs Anthropic's programs for Commercial Launches — helping evolve an established launch motion into a scalable, well-instrumented program that keeps pace with an accelerating product roadmap - Run launches end-to-end through the Commercial launch process: lead intake and scoping for your portfolio of launches, translate each into its commercial-readiness requirements (pricing,, billing,, tax, marketplace, compliance and selling motions), and collaborate with product teams to develop paths to launch - Identify where launches slow down today and drive resolution to prevent them from recurring: propose and implement process and system changes, clarify ownership drive completion across partner teams like, Product, Engineering, Finance, Legal, and GTM. - Build specific program components that don't exist yet — launch tiering, readiness criteria, playbooks, templates, SLAs; and develop training that shifts programs from late-stage gatekeeper to early-stage partner - Take ownership of major program-improvement workstreams such as instrumentation (pipeline visibility, readiness scorecards, guides, throughput and cycle-time metrics) or workflow tooling and automation (intake, tracking, approvals, status) in partnership with Engineering and systems teams - Work cross-functionally with Product, Engineering, Finance, and GTM teams to design clear interfaces and processes that span multiple teams You may be a good fit if you have - Experience building and running new product introduction processes - 10+ years of experience in operations, with demonstrated success in billing, payments, or commercial operations (high-volume SaaS experience a plus) - Strong working knowledge of billing systems, subscription management, and payments platforms - Proven track record of building and scaling operational programs in high-growth environments — taking things from 0-1 and then scaling beyond - Willing to roll up your sleeves and do the operational work of building while also leading a team - Experience with automation initiatives and partnering with engineering teams to build operational tooling - Strong analytical abilities, problem-solving skills, and the ability to demonstrate ROI on operational programs - Excellent cross-functional collaboration skills with the ability to influence stakeholders across GTM, Finance, Product, and Engineering - Adaptability and comfort working in fast-paced, ambiguous environments where you need to balance multiple priorities simultaneously - Excitement about building the operational backbone that enables Anthropic to stay on the exponential The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 - $235,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an AV Engineer based in our NYC office, you'll design and implement the systems that enable world-class collaboration and communication across offices. This role is critical as we rapidly expand our physical footprint, with plans for multiple new offices and expansions over the coming years. You'll be responsible for architecting AV solutions from concept through commissioning, ensuring our conference rooms, event spaces, and collaboration areas provide frictionless experiences that enable our teams to advance AI safety research. You'll help establish standards and systems that scale efficiently while pushing the boundaries of what's possible in workplace collaboration technology. This is an opportunity to shape how a cutting-edge AI research organization communicates and collaborates, building infrastructure that supports everything from small team meetings to company-wide all-hands broadcasts reaching thousands of remote participants. Responsibilities - Lead AV design, procurement, and programming for new office builds, expansions, and retrofits across our global portfolio - Create and maintain AV system designs including schematic drawings, line diagrams, and elevation plans - Program and commission AV systems to meet specific use cases and user requirements - Execute successful "first day of business" deployments for new offices, ensuring all systems are operational for day-one occupancy - Attend build coordination meetings with architects, contractors, and workplace teams to drive AV requirements and integration - Innovate and test emerging AV technologies to optimize productivity and enable premium experiences for existing and upcoming spaces - Develop automated solutions to improve system reliability and reduce operational overhead - Partner with Security and IT teams to ensure AV systems meet enterprise security requirements - Create comprehensive documentation for all systems including programming logic, troubleshooting guides, and operational procedures - Oversee operations globally to ensure seamless AV operations and service delivery standards are consistently met - Manage relationships with AV integrators and vendors to ensure project success - Assist with AV operations support including event production and system maintenance as needed You may be a good fit if you - Have 8+ years of experience designing and implementing AV systems in an enterprise environment - Are proficient in control system programming utilizing the Q-Sys ecosystem or similar - Have hands-on experience with video conferencing platforms, particularly Google Meet - Can read and create AV technical drawings including schematics, line diagrams, and rack elevations - Understand digital signal processing (DSP) concepts for audio, including acoustic echo cancellation, noise reduction, EQ/dynamics, and automixing - Are familiar with enterprise video distribution, streaming technologies, and broadcast standards - Can manage multiple projects simultaneously while meeting aggressive timelines - Collaborate effectively with non-technical stakeholders to translate requirements into technical solutions - Have excellent troubleshooting skills and are comfortable diving into complex integrated systems - Care about creating exceptional user experiences through technology - Are excited about the opportunity to build scalable AV infrastructure from the ground up Strong candidates may also have - Experience with Logitech video conferencing ecosystem and management platforms - Certifications such as Q-Sys Level 2, CTS, or CTS-D - Familiarity building control scripts using Lua within Q-Sys - Background in broadcast production or live event engineering - Experience with Netgear network switches running AV over IP systems (QLAN, Dante, SMPTE 2110) - Familiarity with digital signage platforms (Appspace or similar) - Understanding of acoustical design principles for conference spaces - Track record of successful large-scale office technology deployments - Previous experience performing AV installations - Background working in high-growth technology companies - Experience with Google Workspace administration Additional Requirements - This position will require up to 8 weeks of domestic and international travel to help with new office build outs Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 - $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Strategic Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI by securing strategic deals with top enterprises across key industry verticals, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across key industry verticals. The ideal candidate will have a passion for developing industry-specific market segments, pinpointing high-potential opportunities within key industry verticals, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: - Win new business and drive revenue within a book of strategic industry accounts. Own the full sales cycle from prospecting to close, identifying and developing new opportunities across multiple business units and use cases within key industry verticals - Navigate complex organizational structures and build consensus among diverse stakeholder groups. Develop multi-threaded relationships from individual contributors to C-suite executives across industry enterprises - Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze your industry accounts' landscape, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns - Spearhead expansion by pinpointing new use cases and business units within key industry verticals. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge within your strategic industry accounts - Own sophisticated deal cycles involving multiple stakeholders, technical evaluations, and complex procurement processes. Demonstrate resourcefulness when faced with challenges that defy easy solutions - Build and maintain accurate pipeline forecasting while ensuring high forecast accuracy and consistency. Identify a robust set of business drivers behind all opportunities - Inform product roadmaps and features by gathering customer feedback and conveying key industry market needs. Provide insights that strengthen our value proposition and enhance the customer experience within industry verticals - Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency across key industry verticals You may be a good fit if you: - 10+ years of enterprise sales experience with a proven track record of closing complex deals with strategic accounts. Experience managing sophisticated sales cycles and securing deals with extended timelines and multiple stakeholders across key industry verticals - Experience selling emerging technologies or complex solutions to large industry enterprises. Ability to navigate technical evaluations and translate complex capabilities into business value for industry-specific use cases - Strong executive presence with demonstrated ability to engage C-suite executives and senior stakeholders. Experience presenting to boards and aligning solutions with strategic business initiatives within key industry verticals - Exceptional relationship building skills with proven ability to develop multi-threaded relationships across large organizations. Experience building consensus among diverse stakeholder groups in industry environments - Consultative sales approach with a focus on understanding customer business challenges and crafting tailored solutions. Ability to position yourself as a strategic advisor rather than a vendor within key industry verticals - Strong cross-functional collaboration skills with an ability to mobilize internal resources including product, engineering, and partnership teams. Experience coordinating complex deals that require multiple internal stakeholders - Resourcefulness and problem-solving abilities when faced with complex challenges. Demonstrated ability to navigate ambiguous situations and find creative solutions - High level of organization and attention to detail with strong forecasting accuracy. Ability to manage multiple complex opportunities simultaneously - Passion for AI and emerging technologies with enthusiasm for helping industry organizations transform through responsible AI deployment. Strong alignment with Anthropic's mission of developing safe, beneficial AI systems Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 - $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's consulting and systems integration partners now sell and deliver Claude work at growing volume, and selling alongside partners is working. What matters next is delivery: whether the partner completes the work, whether the customer's Claude usage grows and holds, and whether the outcome is good enough that the customer asks for that partner again. The Partner Success Lead owns that outcome. You will hold a book of in-flight customer engagements across a set of managed partners in North America. From the day our Partner Delivery program matches a customer engagement to a partner in your book, you own it to a completed outcome: the work finishes on scope, the customer's Claude usage grows, and a stalled engagement gets diagnosed and unblocked before the customer disengages. You wake up every day on one question: what is each partner in my book doing, and is the work getting done. Key responsibilities - Own every customer engagement in your book from partner match to completed outcome. Know the state of each one every week: scope, timeline, blockers, and the customer's Claude usage trend. - Run the weekly delivery review across your book, and bring stalled or at-risk engagements to the weekly at-risk account review with a diagnosis, an owner, and a specific ask rather than a status list. - Unblocking. Partner capacity, scope creep, customer readiness, product questions, deal-registration conflicts, and customer dissatisfaction with partner work: get each issue to the right internal team and stay on it through resolution. - Own delivery quality and consumption across your book. Track engagements completed on time, time from match to completion, delivered consumption and weekly active use on the customer accounts your partners serve, and the accounts trending toward at-risk. - Build senior relationships with each managed partner's practice and delivery leadership. Together with the Partner Account Manager and other Anthropic counterparts, establish the executive-level trust that lets you ask a partner to restaff, escalate, or invest — and be taken seriously — when an engagement needs it. - Build each partner's Claude practice as the compounding work: certified bench depth, one repeatable offering in a chosen industry lane, and a published customer story from each completed engagement, so the next engagement needs less from you. - Turn what works into methodology. Convert the moves you prove in your book into named, reusable best practices — engagement review packs, unblocking plays, practice-building guides — written clearly enough to be shared at scale across partners, the Partner Success team, and the contract delivery team running the same loop. - Run the quarterly practice review with each managed partner's alliance and delivery leads: joint goals on completed customer engagements, customer adoption, certified practitioners, references, and industry positioning. - Present and persuade across audiences. Deliver partner executive briefings, practitioner enablement sessions, and internal reviews with equal command — this role is regularly the voice of Partner Success in front of a partner's leadership, a delivery team, a customer, or Anthropic's own leadership. - Steward funding requests from partners in your book. Recommend for or against co-investment and program funding requests against a stated outcome, and reconcile against milestones. The bar is outcomes, not consultant hours. - Work the handoffs cleanly: from Partner Sales when a partner deal closes, and from the Partner Delivery program when an engagement is matched to a partner in your book. Coordinate with the Partner Account Manager on any strategic partner that has one, with Customer Success Managers on customer-side account health, and with Anthropic's direct sales field on joint accounts. - Instrument your book and know its numbers: engagements in flight and completed, stall rate and days to unblock, delivered consumption per partner, certified practitioner counts, and partner health trajectory. - Run your book Claude-first. Telemetry drafts the diagnosis; you validate it and act. Claude drafts your review packs, status notes, and escalation briefs; you own the judgment, the exceptions, and the unblocking. Feed what you see in the field back into the packages, playbooks, tier rules, and health rubric the team runs on. Minimum qualifications - Experience owning a high-volume book of concurrent customer engagements, projects, or accounts (roughly 10 to 30 at a time) to completed outcomes, in a partner success, customer success, delivery management, or technical account management role. - Ability and appetite to build structure, clarity, and programmatic motions out of in-flight work, while delivering engagement by engagement. You have written something down — a review format, a checklist, a play — that others ran without you, and you want to do more of that; growing that into the operating playbook a wider team runs is the senior end of this role, not the entry bar. This role scales by what you write down, not by added hours. - Track record of a number tied to completed work and customer behavior (on-time delivery, adoption, retention, consumption, expansion) rather than contract signature, and an operating rhythm you built to hit it. - Judgment on delivery quality: you can review a partner's engagement plan or scope and tell whether it will finish on time and produce usage, and you ask the follow-up question that surfaces the real risk. - Escalation and unblocking judgment across a matrix (partner, customer, direct sales, customer success, product): you know which stall belongs to whom, you get help fast, and you stay engaged to resolution. - A convincing speaker and presenter to all kinds of audiences: partner executives, delivery practitioners, customers, and internal leadership. You can carry a quarterly practice review, an enablement session, and an executive escalation in the same week and land each one. - Deep understanding of how customer success works in a usage-based business; you have held a number tied to customer behavior and can read a consumption trend and act on it. - Enough technical fluency to be credible in a delivery review. You do not need to write code, but you can follow a partner architect's walkthrough of a real Claude engagement and ask the substantive second question. - Active daily use of Claude or another large language model as part of how you work: preparing reviews, drafting account plans, and analyzing your book. We will ask you to walk us through a recent deliverable. Preferred qualifications - 5 to 8 years working with consulting and systems integration partners, or in delivery-facing customer success at a software company, cloud platform, or partner-led business. - Direct experience with systems integrators (global firms such as Accenture, Deloitte, Capgemini, Infosys, TCS, or Wipro, or regional and boutique firms) and an understanding of how their delivery practices are staffed and run. - Experience running at-risk or red account reviews and turning stalled work around. - Experience anchoring a surge team: setting the playbook and the review pack that a group of contract or offshore delivery coordinators ran, and holding the quality bar across them. - Depth in a specific industry vertical (financial services, healthcare, public sector, retail, or manufacturing) where you have carried a book of partners or customers. - Experience stewarding co-investment funding or market development funding against specific outcomes, with formed opinions about what works and what does not. - Experience running quarterly business reviews with consulting firm practice leads, and a sense of what makes them productive rather than ceremonial. - Experience on a new team where the operating model was being written while you ran the book, and you shipped both. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role This is a partner marketing role that demands product marketing craft. You'll be the single-threaded owner of how every Claude launch lands on partner marketing surfaces. We reach many of our most important customers through our partners. When we ship a new model or capability, it doesn't just launch on first-party surfaces; it launches across our growing partner ecosystem, each with their own product pages, blogs, seller enablement, and go-to-market motions. Our product release cadence has accelerated, and we're looking for someone to own that translation end-to-end. Model and capabilities launches are the core of the job and the majority of the work. The rest is solution launches — the joint and co-built solutions that land on partner surfaces alongside our models. The two halves reinforce each other. Model launches create the moment; solution launches translate what’s possible for the sellers and customers on the other side. You'll be the first dedicated owner of launch readiness across our partner surfaces, consolidating work currently spread across several people and creating a center of excellence for how we do this work. This role centralizes launch coordination for our partners — briefing partner teams under confidentiality, shaping how our positioning shows up on their surfaces, and orchestrating execution cross functionally. You'll be the person who knows exactly what's available on which surface, how we're messaging it, and how it all fits together. You will use this knowledge to ensure our launches are positioned for the highest impact and amplification across our partners. The job is roughly half launch execution and half building. On the execution side, you'll run the launch playbook. On the building side, you'll define what we haven't had the bandwidth to create yet. You'll set the standard for how Anthropic shows up on partner surfaces and hold the rest of the company to it, without anyone involved reporting to you. Anthropic reaches a substantial share of its customer base through partner surfaces, and the ecosystem is still growing. How Claude shows up on the platforms where enterprises actually buy AI is largely unwritten. This is the role that writes it. Key responsibilities - Own partner launch readiness end-to-end, serving as the directly responsible individual for every model, feature, and solution launch across the partner ecosystem — from the first briefing through launch-day go-live and reach reporting - Define the operating model for partner launches: set the standard for what readiness means, decide what's durable enough to share and when, and own the trade-offs when timelines and partner needs conflict - Equip partner sellers and solution architects to position Claude for a customer workload without escalating to us — segment-specific enablement, technical content, and the materials their field actually reaches for - Translate Anthropic positioning for partner surfaces, taking source messaging from Product Marketing and creating partner-specific versions that account for what's available where, what each partner needs to hear, and how the narrative lands on their platform - Own the go-to-market motion for joint and co-built solutions on partner surfaces — position what a partner and Anthropic have built together, make the value legible to that partner's sellers and customers, and land it across the channels where their buyers look - Work with Partnerships, Product, and partner-side teams to shape solutions into launchable moments, and make the call on which are worth a launch at all - Run launch execution – Manage cross-functional review cycles, support partner launch preparedness, compile post-launch reporting - Build post-launch momentum through partner webinars, technical content pipelines, and campaigns that keep partners selling after launch-day - Represent the partner perspective internally — surface Anthropic-direct launches that will affect partner relationships, flag partner-experience issues in product decisions, and make sure partner considerations arrive early rather than as a fire drill - Turn informal knowledge into documented, repeatable process as our release cadence and partner portfolio grow, and build the function so it scales beyond any one person Minimum qualifications - Have done partner marketing or product marketing work for or on cloud AI/ML platforms — positioning products on AWS, Google Cloud, Microsoft Azure, or directly comparable surfaces, whether from inside a cloud provider or as an independent software vendor launching on one - Understand how cloud partner organizations actually work — how their sellers are compensated, what makes a partner's field choose to lead with one vendor over another, and how co-sell and marketplace mechanics shape that choice - Have written and rewritten positioning yourself, not only coordinated it; can tell what makes messaging land with a technical audience, and can spot the claim that Legal will flag before Legal does - Have set direction on programs rather than only executing them — defining how the work gets done and bringing others along, not inheriting a playbook - Can drive cross-functional work without direct authority, pushing internal teams and external partner organizations toward deadlines while keeping the relationships intact, in fast-moving environments where dates move and information is incomplete - Handle confidential information rigorously, including tiered need-to-know structures and pre-announcement codenames - Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications - A partner enablement background — you have designed and delivered enablement for a partner's sellers or solution architects, not only produced materials for them - Have worked directly at AWS, Google Cloud, or Microsoft, in partner marketing on AI/ML services - Have taken joint or co-built solutions to market with a partner — reference architectures, industry solutions, marketplace offerings, or similar - Can position both a product and a solution — the launch of a new capability and the story of what customers build with it — and know that the two are different jobs - Have built a launch function or launch process from scratch, not only run an existing one - Background in competitive intelligence or competitive messaging - Experience marketing to developers or other technical audiences - Familiarity with cloud marketplace listings and the enterprise procurement motion Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or Seattle office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The IT Operations team keeps Anthropic running. We want every employee to do their best work without friction. We're hiring an IT Support Engineer who pairs strong technical skills with a service mindset and good judgment. Anthropic is growing fast, and IT needs to keep pace. That means onboarding at scale, automating repetitive work (including with Claude), and improving the day-to-day employee experience. You'll handle support across our mostly macOS environment and help with the operational work that lets us scale. You'll work closely with IT Engineering and Security, with room to grow into more technical infrastructure work over time. This isn't a scripted support role. You'll have real ownership, use your judgment to improve our processes, and grow with the team as we scale. This role is based in our Dublin office, with a 4-day-per-week in-office expectation. Key responsibilities - Triage and resolve issues across hardware, software, networking, and accounts, mostly through our ticketing system, plus Slack and in-person - Diagnose and fix issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian) - Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement - Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs) - Handle escalations that need cross-team coordination - Join an on-call rotation for urgent issues outside business hours - Provide hands-on support for user technology, AV systems, conference rooms, and printers - Communicate clearly with users at every technical level - Write and maintain internal documentation, including runbooks, how-to guides, and knowledge base articles - Spot patterns in support requests, surface recurring issues, and flag opportunities to automate - Help streamline onboarding and other high-volume operations as we scale - Contribute to automation efforts - Maintain and improve device management, identity, and access systems - Write scripts (Bash, Python) to automate repetitive tasks Minimum qualifications - Hands-on IT support experience, ideally in a fast-paced environment - Experience supporting macOS endpoints, and comfortable supporting ChromeOS, iOS, and Android - Experience with Google Workspace administration - Experience with Slack administration, including workspace management, permissions, and troubleshooting - Experience supporting and administering other SaaS tools - Understanding of identity and access fundamentals: SSO, MFA, directory services - Familiarity with MDM fundamentals and endpoint management concepts - Basic scripting (Bash or Python) for automation - Strong troubleshooting skills, with a methodical and persistent approach - Clear communicator who enjoys helping people solve problems - Take ownership of problems and follow through until they're resolved Preferred qualifications - Familiarity with zero-trust security concepts and endpoint security tooling - Networking basics: DNS, DHCP, VPNs - Experience with IT projects beyond day-to-day support, such as migrations, tool rollouts, or process redesigns - Experience using AI tools to improve personal or team productivity - Interest in developing deeper technical skills and taking on more complex systems administration over time The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €125.000 - €165.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an experienced and strategic IP Counsel to join our growing legal team. In this role, you will provide comprehensive IP guidance across the organization, with particular depth in patent strategy. You will work closely with our product, research, and technical teams to help support Anthropic's organic patent portfolio development while also advising on the full spectrum of IP matters. You will partner closely with the Head of IP and other IP legal colleagues to help design and implement an IP program that protects Anthropic's innovations, supports the company's growth, and is aligned with the company’s mission. Responsibilities - Support and contribute to our organic patent development process, including invention harvesting, drafting oversight, prosecution management, and coordination with outside counsel - Partner in developing and implementing comprehensive patent strategies in the U.S. and internationally that align with Anthropic's business objectives and technology roadmap - Provide broad IP guidance across the organization, with the ability to identify and address potential IP issues across patents, trademarks, trade secrets, and open source - Support analysis and response to third-party patent demands, and evaluate strategic patent acquisition and licensing opportunities - Conduct IP due diligence for M&A transactions and strategic partnerships - Advise on IP aspects of commercial agreements, including licenses, joint development agreements, and technology transfers, educating technical teams on best practices to protect Anthropic's innovations Minimum qualifications - Hold a JD and are an active member of at least one U.S. state bar - Are registered to practice before the U.S. Patent and Trademark Office - Have substantial patent experience, including invention harvesting, prosecution, and portfolio development, along with working knowledge of the broader IP spectrum, including trademarks, trade secrets, and open source - Have worked directly with engineers, researchers, or product teams to identify and protect inventions, and can explain IP concepts clearly to people who aren't lawyers - Have contributed to and helped implement IP strategies in a rapidly evolving technical environments - Experience balancing legal protection with business practicality in a collaborative setting Preferred qualifications - 10+ years of legal experience with demonstrated expertise across the IP spectrum particularly in patents - Active membership in the California bar - Advanced degree in computer science, engineering, or a related technical field - Deep expertise in one or more IP areas beyond patents - Experience with AI, machine learning, or related cutting-edge technologies - Experience analyzing and responding to third-party patent assertions, or evaluating patent acquisitions and licensing transactions - Experience practicing in-house at a technology company, or otherwise supporting technology clients through periods of rapid growth The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $335,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for a Finance & Strategy (FP&A) Systems Engineer to join our Finance Systems team at Anthropic. In this role, you will be responsible for building and maintaining platforms that support our core Financial Planning, Forecasting and Analytics processes. You will bring deep hands-on expertise in EPM platforms like Anaplan, Pigment and data platforms like BigQuery, who writes integrations, tooling, and production code that connect them to Anthropic’s ERP and data warehouse systems. You'll work closely with Corporate Finance & strategy stakeholders to translate business requirements into innovative technical solutions, maintain data integrity, and drive continuous improvements to our financial systems infrastructure. You'll manage day-to-day Finance system operations, support critical financial processes and monthly Forecasting cycles, and take on more ambitious system projects over time, including using Claude to automate FP&A work, help build scalable solutions that enable efficient financial planning, forecasting, and reporting as we continue to grow. Responsibilities Systems Administration and Support - Serve as a primary system administrator for our financial planning platform (Pigment), maintaining system health and optimal performance - Manage Finance applications, data, user access & security, system configurations, version management to ensure appropriate controls and governance. - Provide technical support and troubleshooting for end-users, resolving issues and answering system-related questions System Development and Enhancement - Design, build, and maintain applications, Financial models and workflows with in-house tools and EPM platform like Pigment to support financial planning, budgeting, forecasting, and reporting processes - Develop and maintain secure dataflows, integrations using Rest APIs to connect FP&A platforms, data warehouse with enterprise systems (e.g., Workday Financials, Salesforce CRM, etc.) - Develop SQL-based data models, ETL pipelines, and reporting infrastructure to support financial close, forecasting, and business intelligence. Business Partnership and Process Improvement - Partner with Finance & Strategy (FP&A), Accounting, and other Finance teams to understand business problems and use AI tools to build cutting edge solutions - Support Monthly Forecast, Annual & Long Range planning, Workforce planning, OPEX Forecasting, Balance Sheet & Cash flow forecasting processes. - Identify and implement process and Finance platform improvements. - Participate in testing and validation of system changes, ensuring accuracy and reliability - Assist with training and onboarding of new system users Data Management and Quality - Ensure the accuracy and integrity of financial data across systems - Develop and maintain data validation rules and quality checks - Troubleshoot data discrepancies and work with relevant teams to resolve issues - Support data migration and transformation activities as needed Minium Qualifications - Have 8+ years of experience in FP&A systems - EPM platforms, Finance data warehouse, with a focus on financial planning, forecasting and analysis. - Have hands-on experience administering and developing solutions in enterprise planning platforms (e.g., Pigment, Anaplan, Adaptive Planning, or similar EPM tools) - Possess strong engineering and technical skills including advanced SQL and data modeling skills, creating and maintaining system integrations and data pipelines. - Have demonstrated ability to translate business requirements into technical specifications and system designs. - Have a strong understanding of FP&A processes, financial reporting, and accounting principles Preferred Qualifications - Techno-functional: you're someone who is a CFA but also a hands on developer. - Experience owning changes inside a shared production codebase alongside a product engineering team - Warehouse and analytics-engineering skills such as dbt, BigQuery, or comparable - Experience building robust Finance applications with LLMs - Knowledge of programming or scripting languages (Python, JavaScript, etc.) - Experience with Financial planning & analysis (CFA), experience with pre-IPO companies, supporting rapid growth and scaling financial systems accordingly. - Understanding of financial data security and compliance requirements - Certification in relevant planning platforms (e.g., Pigment, Anaplan Model Builder) - Project management skills and experience leading system implementation workstreams The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $205,000 - $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Strategic Finance Lead to provide finance leadership for our accelerator investments. In this role, you will be a key partner to our compute teams, providing financial expertise and guidance to optimize our compute investments and drive strategic decision-making. In this role, you’ll develop deep expertise in the economics of AI compute, from the unit economics of individual training runs to the long-range financial planning of our accelerator fleet. You’ll build financial models that inform Anthropic’s investment decisions, own planning and forecasting processes for major cost centers, and translate complex technical dynamics into clear financial narratives for leadership. This is a high-impact role for someone who thrives at the intersection of finance and technology, and who is energized by building frameworks from scratch in a fast-moving environment. Key responsibilities - Finance lead for cloud accelerator compute spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance - Build and maintain detailed bottoms-up data-driven financial models for accelerator infrastructure, including long-range forecasts, cost driver analyses, and investment scenario modeling - Develop deep expertise in compute contracts, pricing structures, and cost drivers, and surface optimization opportunities across our infrastructure - Serve as subject matter expert for Anthropic’s overall compute capacity plan, owning source of truth and plan of record - Support the implementation and management of financial planning tools (e.g., Pigment), ensuring our models and processes scale with the organization - Analyze the economics of model training and research compute, including ROI across different dimensions like training run sizes, chip types, data, etc, and distill into actionable framework for capacity planning and deployment - Partner closely with engineering and research teams to understand how training and reinforcement learning processes scale, and translate those technical dynamics into financial frameworks You may be a good fit if you have: - Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models - Extraordinary problem-solving and critical thinking abilities to come up with new frameworks for assessing profitability and capital efficiency in a rapidly evolving industry - Attention to detail and patience for getting to the source of truth on complex and interconnected underlying financial and legal frameworks - Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences - Proven track record of partnering with technical teams to drive financial optimization initiatives - Excitement about working collaboratively in a fast-paced, dynamic environment and adapt well to change - Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines - Strong relationship building, business judgment, process management, and communication skills - Are passionate about Anthropic's mission to build safe, transformative AI systems - Are passionate about the effective integration of AI tools to streamline manual finance workflows - Background in AI, ML, or high-performance, large-scale computing infrastructure, including data centers, cloud service providers, etc Preferred qualifications - 7+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with infrastructure, datacenter, or technology infrastructure experience - 3+ years of experience specifically in cloud infrastructure financial management - Experience working directly with major cloud service providers (AWS, GCP, Azure) - MBA or other advanced degree in finance, economics, or business - Deep expertise in cloud service provider economics, contract structures, and pricing models - Experience with chip architecture economics and optimization strategies - Proficiency with financial modeling tools and languages (SQL, Python, Excel) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 - $240,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Strategic Finance leader to manage the “machines” finance function covering the chips and accelerators that run our models. In this role, you will be a key partner to our hardware infrastructure teams, providing financial expertise and guidance to drive hardware decisions. You will own the near and long-term forecasts for hardware, support deal teams, and our engineering teams on hardware ROI decisions. Key responsibliities - Own the economics of chip and accelerator capacity: cost per chip-hour and TCO across chip generations - Evaluate capacity offers and hardware commitments with the Compute deal team: pricing across chip types, counterparties, and structures - Partner with Capacity Planning and Hardware Engineering on the financial analysis influencing machine strategy - Own the hardware forecast: delivery volumes by chip over time, expenses, and cash flows - Build and manage the Machines finance team; set the operating cadence with central FP&A and Accounting - Serve as the accountable owner for machines FP&A into forecast and close cycles - Coordinate with Accounting, Treasury, and Infra FP&A on accounting treatment and forecast inputs Minimum qualifications - Owned hardware, semiconductor, or hyperscaler capacity economics - Experience managing or mentoring finance talent - Strong analytical skills and the judgment to turn an ambiguous structure into a clear financial recommendation - Comfort partnering closely with engineering and commercial teams under deal-timeline pressure - Passion for Anthropic's mission to build safe, transformative AI systems Preferred qualifications - 8+ years in strategic finance, FP&A, or capacity/infrastructure finance - Capacity planning or infrastructure finance experience at a hyperscaler or major chip maker - Experience standing up a new finance function - MBA, CFA, or equivalent The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $325,000 - $425,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an Enterprise Integrated Campaign Manager to design, orchestrate, scale, and measure integrated marketing campaigns that support our Enterprise business priorities and drive demand, adoption, and expansion across our most strategic customer segments. As a key member of our marketing organization, you'll build the campaign frameworks and cross-channel motions that connect our content, physical events, digital programs, and account-based efforts into cohesive journeys that move enterprise buyers from awareness to activation. This role requires a sophisticated understanding of B2B marketing with demonstrated success in integrated campaign strategy and execution across the full customer lifecycle. You'll develop and execute comprehensive campaign strategies in partnership with Sales, Field Marketing, Product Marketing, Partner Marketing, and Digital teams, creating compelling programs and flywheel motions that empower the Enterprise Sales team to achieve their pipeline and revenue targets. Enterprise represents one of our largest growth opportunities and our most nuanced challenge, a segment where long sales cycles, complex buying committees, and industry-specific requirements demand campaigns that are deeply orchestrated rather than one-size-fits-all. You'll work closely with Product and Field Marketing, the broader Integrated Campaigns team, and cross-functional partners to ensure campaigns directly support demand generation, customer adoption, and strategic account expansion. Key responsibilities - Design and lead integrated campaigns across customer segments, establishing scalable frameworks and processes that connect digital, events, content, and ABM channels into cohesive buyer journeys - Drive full-funnel campaign initiatives across core Enterprise priorities, industries, and segments, adapting strategies for diverse buying committees and enterprise purchasing behaviors - Create and implement campaign programs including thought leadership moments, digital nurture streams, webinar series, executive engagement programs, and ABM activations - Partner closely with Field Marketing to align campaign programs with territory and account-specific goals that directly achieve pipeline, adoption, and expansion targets - Optimizing programs to measurement frameworks including lead scoring, attribution models, and ROI reporting to demonstrate campaign impact on demand, adoption, and revenue - Collaborate with global Marketing teams to ensure Enterprise campaigns align with company-wide strategy while meeting segment- and industry-specific needs - Coordinate with Product Marketing and Solutions Marketing to ensure consistent messaging and positioning across all campaign touchpoints - Manage campaign resources including agency partners, vendors, and internal creative and content teams to deliver programs on time and on budget - Build and manage campaign budgets with strong financial discipline and ROI focus - Drive continuous improvement through post-campaign analysis, stakeholder feedback, and data-driven optimization Minimum qualifications - Demonstrate deep understanding of B2B enterprise sales cycles and buying processes - experience working within software companies is required for this position - Have a track record of successfully building and scaling integrated campaign programs that span digital, events, content, and ABM channels - Have strong analytical skills and a data-driven approach to campaign optimization and attribution - Have demonstrated success in contributing to significant demand, adoption, and revenue goals through integrated marketing initiatives - Are a proven self-starter who can build and run sophisticated programs with small teams in fast-paced startup environments - Have strong project management skills with experience managing complex, multi-channel campaigns simultaneously - Possess strong budgeting and financial management capabilities with experience managing substantial campaign budgets - Excel at cross-functional collaboration, particularly with sales teams, agency partners, and executive stakeholders - Are comfortable with ambiguity and thrive in fast-paced, evolving environments with a bias for thoughtful action Preferred qualifications - Have 10+ years of B2B enterprise marketing experience with blended expertise in integrated campaigns, account-based marketing, and demand generation - Have experience marketing AI/ML or complex technical products to enterprise customers - Have experience building and leading integrated campaign or demand generation teams - Have deep knowledge of account-based marketing (ABM) strategies and execution, including platforms such as 6sense or Demandbase - Have experience at high-growth technology companies such as Stripe, AWS, Okta, Snowflake, or Workday - Have experience developing industry- or segment-specific campaign motions for regulated or vertical markets - Have experience managing and directing agency partners to extend internal team capacity - Have marketing automation and campaign operations fluency (e.g., Marketo, Salesforce) with an understanding of lead lifecycle management - Have international campaign experience and an understanding of how to localize enterprise programs across regions Role-specific policy: For this role, we expect staff to be able to work from our San Francisco or New York office at least once a month for cross-functional stakeholder engagement. Additionally, this role will require up to 40% travel for events and customer engagements. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $255,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic runs one of the largest and fastest-growing infrastructure fleets in the industry, across multiple accelerator families, CPU families, clouds, neoclouds, and on-prem sites. Capacity Engineering owns the data, tooling, and systems that let Anthropic plan, measure, and maximize utilization of that fleet: we partner on supply deals, wire telemetry from day zero, own the canonical capacity data layer, and build the planning and enforcement tools every research and product team relies on. This role sits in the Planning pillar, on the Demand Planning team, and works daily with research engineering, pretraining, inference, compute supply, finance, and external vendors. You own the tranches. The job has two halves that feed each other. Upstream, you take the Demand Planning forecast and turn it into per-tranche requirements — shape, interconnect, region, supporting resources, date — and carry those into sourcing negotiations and data center build reviews so we contract for capacity we can actually use when we need it. Downstream, you own the integrated schedule and system of record for every tranche in flight — from contracted through reserved, ingested, in-cluster, healthy, and occupied — and you drive the owners of each hop to their dates. Every slip you see downstream becomes a contract-language fix, an automation, or a correction fed back to the forecast. What you'll do - Turn the forecast into per-tranche requirements. Take the Demand Planning forecast plus direct input from research, pretraining, and inference planners, and convert it into concrete accelerator, interconnect, region, supporting-resource, and date requirements for each tranche. Represent those in sourcing negotiations and data center build reviews, including which contractual terms actually move delivery dates. - Qualify tranches for deliverability before signature. The Capacity Planner signs fit-to-forecast; you sign whether the shape can land schedulable, healthy, and instrumented in that region on that date, with storage, egress, identity in place. - Close the delivery loop. Track forecast-versus-delivered on shape, region, and timing for every tranche; publish the variance; and feed it back to Demand Planning and into the next contract. - Own the bring-up system of record. Define the canonical contract-to-occupied state machine with explicit entry and exit criteria per stage, and make it a first-class object in the capacity data layer so every downstream tool sees in-flight capacity, not only what has landed. - Run a portfolio of bring-ups in parallel — new cloud regions, on-prem sites, neocloud blocks — with one integrated schedule spanning provider milestones, cluster creation, network turn-up, storage readiness, health burn-in, and first-workload landing. - Drive readiness automation: All capacity systems are fully integrated for all new capacity, from contracted through ingested, automated and scaled. - Instrument and publish the numbers that matter — time-to-occupied and paid-idle dollars per tranche — with executive-level reporting on status, tradeoffs, and risk across the portfolio. What you bring - Significant experience delivering large-scale infrastructure — cloud regions, accelerator clusters, HPC systems, or bare-metal fleets — at multi-region scale or ≥10k accelerators (or CPU/storage equivalent). - Technical range from through cluster orchestration and node health, up to the telemetry and planning tables on top — enough to debug where they disagree rather than route it. - SQL and enough Python to answer your own questions and build your own reporting. - A degree in a technical field or an equivalent engineering track record. Preferred - Reserved-capacity onboarding, private offers, or capacity commitments with cloud or neocloud providers. - Enough demand-planning exposure to challenge a forecast, translate it into per-tranche requirements, and feed delivery variance back into it. - Data center or colocation delivery: power and space planning, network turn-up, site acceptance, vendor management. - Accelerator health and burn-in, collective-communications sanity testing, or fleet-health SLOs — and a rigorous definition of "healthy." - Systems of record or lifecycle services for infrastructure assets. - Onboarding a new hardware generation into an existing scheduler and observability stack. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for a Product Partnerships lead with deep experience in the semiconductor ecosystem. This is not a Sales role. You'll work with product, research, engineering, legal, and go-to-market teams to shape our platform strategy in semiconductors, source and structure the right partners, and land the commercial and technical agreements that let Anthropic and the industry build together. You'll be joining a small, senior team that operates at the intersection of frontier AI research and complex commercial deal-making. Semiconductors will be your primary vertical and where we expect you to spend the large majority of your time. That said, our Product Partnerships team is deliberately built of generalist deal-makers — everyone on the team can pick up a deal in an unfamiliar domain and run it end to end. As Anthropic's priorities evolve, we'll want someone who's genuinely excited to be thrown at a high-priority partnership in another domain — life sciences, code, or something we haven't thought of yet — and close it. Responsibilities - Research, source, structure, negotiate, and close strategic collaborations across the semiconductor stack, while shaping internal priorities for the vertical - Serve as the internal expert on semiconductor partnerships for research, product, and leadership, translating between silicon-industry realities and Anthropic's roadmap - Navigate complex counterparty organizations — R&D, legal, IP/licensing, and procurement — to get non-standard contracts and research agreements over the line - Structure commercial software, IP, and technology-access agreements with terms that work for both sides and preserve optionality for how the collaboration can grow - Coordinate cross-functionally across research, product, engineering, corp dev, policy, finance, and legal to scope, evaluate, approve, and implement partnerships end to end - Support executive-level engagements with strategic counterparties, including preparing briefings, deal frameworks, and negotiation strategy - Flex into other Product Partnerships verticals as company priorities shift, owning commercial deals outside semiconductors when that's where the highest-leverage work is You may be a good fit if you have - 8+ years in strategic partnerships, business development, technology licensing, or corporate development, with a meaningful portion of that spent inside or directly adjacent to the semiconductor industry - Range as a deal-maker — you've closed deals across more than one industry or deal type, you ramp fast on new domains, and you'd be energized (not frustrated) if we asked you to run point on a partnership well outside semiconductors - A track record landing complex, multi-stakeholder partnerships — commercial software or IP licenses, technology-access deals, or strategic alliances with large engineering organizations - Working fluency in the semiconductor landscape — you can hold your own in a conversation about design flows, PDKs, verification, or process nodes without needing a translator - Strong commercial and legal instincts on licensing — EULAs, IP rights, usage restrictions, and the creative structures that unblock deals when standard paper doesn't fit - Genuine curiosity about AI/ML and what frontier models can do for hardware design and manufacturing - Comfort operating with ambiguity in a fast-moving environment where the playbook is being written as you go - Excellent cross-functional collaboration skills — you make legal, finance, research, and executive stakeholders feel like you're on their team Strong candidates may also have - A technical foundation in EE, computer engineering, or a related field — or equivalent time in the trenches with design or manufacturing teams - Background negotiating enterprise software at scale - Experience with technology or IP diligence in M&A or asset-acquisition contexts The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $205,000 - $240,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're seeking a senior business development leader to own Anthropic's BD partnership footprint with a small number of the world's largest and most consequential technology companies. These are not single-threaded accounts. Each relationship spans many businesses at once — consumer products, devices and operating systems, productivity and collaboration software, cloud and developer platforms, commerce, and enterprise distribution. Your job is to see the whole board, decide where Anthropic should lean in and where it shouldn't, and turn that judgment into signed deals. The center of gravity for this role is product and distribution partnerships: co-developing opportunities with partners, and structuring the commercial, technical, and go-to-market terms that make those partnerships durable. You'll typically be running several deal streams inside the same partner in parallel — at different stages, with different counterparts, and with terms that interact with one another — and you'll be the person responsible for keeping them coherent. This is an individual contributor role for a seasoned dealmaker who is comfortable as the primary counterpart to senior executives at very large companies, who brings strong judgment to ambiguous, high-stakes situations, and who can carry a complex, multi-party negotiation from first conversation through signature and into execution. Key responsibilities - Manage a small number of large, multi-faceted partner relationships end to end: set the strategy for each relationship, decide which opportunities to pursue and in what order, and stay accountable for the overall health and commercial output of the partnership across every surface it touches - Lead product partnerships: identify and structure opportunities to embed Claude in partners' consumer and enterprise products, co-develop new products and features, and define the product, technical, data, and brand terms that come with them, working closely with Anthropic's product and engineering leaders - Run multiple deal streams in parallel: manage several concurrent negotiations within the same partner — product integrations, distribution and go-to-market, commercial and consumption agreements, and infrastructure — and sequence and connect them so terms in one stream reinforce rather than undercut the others - Negotiate complex, first-of-kind agreements: lead end-to-end negotiations involving novel commercial structures, revenue and economics sharing, product and roadmap commitments, exclusivity and competitive provisions, data terms, and multi-year, multi-component value exchanges - Act as an executive counterpart: build and manage relationships with senior executives and their teams on the partner side, serve as Anthropic's primary voice into the partnership, and prepare and steer Anthropic's own executives through partner-level engagements - Exercise judgment on behalf of Anthropic: weigh commercial upside against strategic, competitive, product, and mission considerations; know when to say no; and make clear, well-reasoned recommendations to Anthropic leadership on trade-offs that don't have a playbook - Drive cross-functional execution: coordinate Product, Engineering, Sales, Marketing, Finance, Legal, and Policy across the life of a partnership, from initial structuring through negotiation, launch, and ongoing governance, ensuring what we sign is something Anthropic can deliver Minimum qualifications - Direct experience owning a large, multi-business partner relationship, where you were responsible for the whole relationship rather than a single deal or product line - Track record of structuring and closing product partnerships — embedding technology into partner products, co-developed products, distribution through partner surfaces, or similar — in addition to conventional commercial agreements - Experience personally leading complex, multi-stakeholder negotiations with senior executives, including deals with interlocking terms, competitive sensitivities, and multi-year commitments - Demonstrated ability to manage several significant negotiations at the same time without losing the thread on any of them - Experience coordinating cross-functional execution (e.g., Product, Engineering, Legal, Finance) to bring a complex agreement from structuring through signature and delivery Preferred qualifications - 10+ years in strategic business development, strategic partnerships, or corporate development at technology companies, with meaningful time spent managing relationships with very large technology partners - Experience on either side of a partnership between a foundation model or AI platform provider and a large technology company - Experience working inside one of the very large technology companies, with a practical understanding of how decisions get made, who holds budget and roadmap authority, and how to navigate them - Experience with partnerships that span both consumer and enterprise businesses, or that combine product, distribution, and infrastructure components in a single relationship - Understanding of foundation model capabilities and how they translate into partner products, with enough technical fluency to work credibly with product and engineering leaders on both sides - Background in corporate development, strategy, or a legal or finance discipline involving structuring and papering unusually complex agreements The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $365,000 - $425,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is scaling rapidly, and the volume of customer payments we receive is scaling with it. We are looking for a Senior Manager, Cash Application to take full ownership of the cash application function within our Invoice to Cash (I2C) organization. Reporting to the Head of Invoice to Cash, you will own the team, the daily operation, the KPI and SLA reporting, and the processes, procedures, and controls for cash application, and you will run the function with minimal oversight. This is a people leadership role with a clear build mandate: the function works today, and your job is to make it run predictably and efficiently at many times today's volume. Cash application is foundational to clean accounts receivable, accurate cash and revenue reporting, effective collections, and a smooth customer experience. Today the function is supported by a small team of Cash Application Specialists using an automation platform (Tesorio) that we launched earlier this year. Our operating model is automation first. Payment volume will grow many times over, and we expect the team to grow only fractionally, so the leverage has to come from auto-match rates, exception handling, Claude, and better upstream processes rather than from headcount. You will own that outcome: drive the cash application automation roadmap aiming for a largely touchless operation, define and refine the KPIs and SLAs the team is measured against, develop a small, high-performing team that manages exceptions rather than transactions, and keep the processes and policies underneath the function current as payment methods, entities, and systems change. You will work day to day with Collections, Credit, Billing Operations, Revenue Accounting, Treasury, Finance Systems, and Go-to-Market teams, as well as global and regional I2C leaders. We are looking for someone we can hand the function to: someone who identifies what needs to be built and builds it, runs the operation with data, brings sound recommendations on automation, policy, and staffing to I2C leadership, and escalates only what needs escalating. If you have scaled a cash application or AR operations function through rapid growth by automating it rather than staffing it, and want to do it again at a company building safe, frontier AI, we would love to hear from you. Key responsibilities - Take full ownership of the global cash application function, including daily operations, team output, systems, controls, and reporting, and be accountable for its accuracy and timeliness with minimal oversight. - Build a small, high-leverage team designed around exceptions rather than transaction volume: define the roles, skills, and regional coverage the function needs, hire and onboard specialists and contractors when automation alone cannot close the gap. - Coach, mentor, and manage the performance of Cash Application Specialists and contractors, setting clear individual productivity and quality targets and growth paths, and develop a team lead who can run the daily operation in your absence. - Build and run the team's operating cadence, including daily work allocation, queue management, escalation paths, and coverage for close, holidays, and regional time zones. - Own and drive the cash application automation roadmap, covering auto-match rules, remittance capture and parsing, exception routing, and automated posting to the ERP, with the goal of a largely touchless operation where the team's time goes to exceptions and root causes. - Serve as the day-to-day business owner of the AR automation platform for cash application, partnering with Finance Systems, Treasury, and the vendor on matching rules, bank and payment-processor feeds, ERP integration, and enhancement requests. - Champion Claude adoption within the team: identify where Claude can remove manual work (for example remittance interpretation, short-pay and deduction coding, customer remittance outreach, and reporting), pilot them, and help specialists build fluency and confidence using them in daily work. - Set and track automation and leverage targets for the function, such as auto-match rate, touchless posting rate, exceptions per specialist, and payments processed per head, and report progress against them. - Define, evaluate, and refine the KPI and SLA set for the function, including same-day and next-day application rates, unapplied and unidentified cash balances and aging, exception resolution time, remittance request turnaround, posting accuracy, and auto-match rate. - Build and maintain the dashboards that track team, regional, and individual performance against those targets, and publish regular, clearly framed performance reporting to I2C and Accounting leadership. - Run the operation with the data: identify trends and bottlenecks, track volume and exception rates against team capacity, and bring data-backed recommendations to I2C leadership on where the next automation investment should go and when, if ever, additional staffing is warranted. - Run a structured root-cause program for unapplied, misapplied, and unidentified cash and convert findings into durable upstream fixes with Billing, Collections, Treasury, and Go-to-Market. - Own and maintain the cash application policies, desktop procedures, and internal controls, proactively identifying where they need to change as payment methods, entities, systems, and volumes change and driving those updates through review with I2C and Accounting leadership. This includes unapplied and unidentified cash, on-account payments, short pays and deductions, refunds and overpayments, customer remittance requirements, and write-off thresholds. - Proactively identify and implement process improvements across the payment-to-posting cycle, standardizing how work is done across regions and entities and eliminating manual steps at their source. - Own the control environment for cash application, including segregation of duties, review and approval thresholds, and audit-ready documentation, and serve as the primary contact for internal and external auditors for the area. - Own the cash application component of month-end and quarter-end close, including cash-to-AR reconciliations, unapplied cash reporting, and timely resolution of reconciling items with Revenue Accounting and Treasury. - Manage the day-to-day partnership with Treasury and our banking partners on remittance data quality, lockbox and virtual account usage, and the cash application impact of new payment methods and entities as the company expands. - Partner with Collections and Billing Operations to resolve payment discrepancies, short pays, and disputes quickly, and to make sure applied cash flows through to accurate customer balances and dunning. - Represent cash application in I2C and Finance systems and process initiatives, including new system implementations and entity and payment-method migrations, and provide input into decisions that affect the function. - Work with regional I2C leaders to keep cash application standards consistent across regions while accounting for regional banking and payment differences. Minimum qualifications - Experience managing a cash application or accounts receivable operations team, including hiring, coaching, and managing performance, in a high-growth or high-volume environment. - Hands-on experience scaling a cash application function through significant transaction volume growth while holding headcount roughly flat, and a track record of identifying and delivering the process and automation improvements that made that possible with minimal oversight. - Experience implementing or optimizing a cash application or AR automation platform, with measurable improvements to auto-match rate, unapplied cash, or payments processed per head. - Experience defining and reporting on KPIs and SLAs for an operations team, and using that reporting to run the team day to day. - Deep knowledge of the end-to-end cash application process across wires, ACH, credit card, and lockbox, including remittance handling, short pays and deductions, unapplied and unidentified cash, and cash-to-AR reconciliation, such that partners across Finance seek you out on cash application questions. - Experience maintaining cash application procedures and internal controls and working directly with internal or external auditors. - Hands-on experience with an ERP such as NetSuite, Oracle, or SAP, and strong Excel or Google Sheets skills for analyzing large transaction datasets. - Clear written and verbal communication skills, including the ability to present performance data and recommendations to finance leadership and to work effectively with finance and non-finance partners. Preferred qualifications - 8+ years of progressive experience in cash application, accounts receivable, GL Accounting, or order-to-cash operations, including several years managing a team, ideally at a B2B SaaS or usage-based billing company growing quickly. - Experience as the business owner or administrator of an AR automation platform such as Tesorio, HighRadius, Billtrust, or Growfin, including configuring matching rules and shaping integration design rather than only using the tool. - Experience with Stripe, Salesforce, and modern billing systems such as Zuora, and with high-volume payment-processor settlement reconciliation. - Experience applying cash across multiple legal entities, currencies, and regions, and working with contractor or offshore team members. - Working knowledge of SOX controls and audit requirements as they relate to cash and accounts receivable. - Experience using Claude or other LLM-based tools to remove manual work in a finance or AR setting, and an interest in helping a team build the same habits. - Experience building capacity models that show how automation changes the relationship between transaction volume and headcount, and using them to make the case for automation investment. - Comfort with ambiguity, a bias toward action, and a willingness to stay close to the details while building for scale. - A passion for AI and an interest in the responsible development of advanced systems. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 - $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for a Senior Partner Account Manager (PAM) to own our relationship with one to two of the world's largest global systems integrators. This is a general-management role disguised as an alliance role: you will set the multi-year joint strategy with the partner's C-suite, negotiate the strategic agreement that underpins it, and then build the machine — go-to-market, solution co-development, delivery readiness, and enablement at a scale of tens of thousands of practitioners — that turns Claude into one of the partner's largest and fastest-growing practices. You will be measured on the size and health of the joint business: progress against a $1B+ Claude practice plan, Anthropic ARR sourced and influenced through the partner, certified and delivery-ready practitioners (50,000+), co-developed solutions in market with reference-able customers, and the depth of executive alignment on both sides. Key responsibilities - Own the joint business. Build and run a multi-year joint business plan with each GSI covering services bookings, Anthropic ARR, priority industries and geographies, investment, and headcount. Report on it to Anthropic and partner executive leadership quarterly. - Lead at the C-suite. Be the primary Anthropic relationship owner for the partner's Group CEO, service-line and industry CEOs, CTO/Chief AI Officer, and Chief Learning Officer. Map and activate Anthropic executive sponsors, run CEO-level QBRs, and shape the partner's public AI narrative (earnings calls, analyst days, flagship events) around Claude. - Negotiate the strategic agreement. Structure and close multi-year strategic collaboration agreements spanning consumption and resale commitments, co-investment and market development funds, co-marketing, IP and solution terms, and enterprise-wide internal deployment of Claude across the partner's own workforce. - Co-develop solutions. Partner with Anthropic Product, Applied AI, and the GSI's CTO office to co-build industry and horizontal offerings, agentic and Claude Code delivery accelerators, and reference architectures; take them to market with named launch customers and published references. - Build a 50,000+ practitioner practice. Design and land a certification and delivery-readiness system inside the partner — embedded in their academy/L&D, train-the-trainer led, tied to Claude Partner Network tier requirements — and hold the partner accountable to capability they build themselves rather than capacity Anthropic supplies. - Drive global co-sell. Stand up joint account planning and pursuit governance with Anthropic field leadership across NA, EMEA, and APAC; personally engage on the largest strategic pursuits; ensure clean attribution through deal registration and CRM discipline. - Run alliance governance. Establish and chair a joint steering committee with named workstreams (GTM, solutions, delivery readiness, enablement, marketing), clear owners on both sides, and a published operating cadence. - Lead through others. Orchestrate a global virtual team of partner solutions architects, partner marketing, enablement, regional PAMs, and sales leaders; mentor PAMs across the team; scope and make the case for dedicated resourcing as the business scales. - Shape the program. Bring the voice of the largest GSIs into Anthropic's partner strategy, Elite-tier program design, and product roadmap. Minimum qualifications - 15+ years in alliances, partner sales, or consulting leadership, including 8+ years owning a top-tier GSI relationship (e.g., IBM, NTT Data, Capgemini) at a hyperscaler or category-defining enterprise software/AI company — or the mirror-image role leading a hyperscaler/AI alliance from inside a GSI. - A track record of personally building or scaling a partner practice to $500M–$1B+ and tens of thousands of trained practitioners, with the joint business plan, governance, and metrics to show for it. - Demonstrated C-suite presence: you have set agendas with GSI Group CEOs and service-line leaders, and you can hold a strategy conversation and a commercial negotiation in the same meeting. - Experience negotiating and closing multi-year strategic collaboration agreements with nine-figure commitments. - Fluency in GSI economics — utilization, pyramid, offering margin, industry P&Ls, delivery-center models — and how a new technology practice actually gets funded and staffed inside one. - A strongly commercial orientation: you are a business driver first and a relationship manager second, and you are comfortable pushing a partner to invest in its own capability. - Global operating experience across NA, EMEA, and APAC, including time with India-based delivery leadership. - Low ego, high curiosity, and a habit of making the people around you better; you put the mission ahead of personal credit. Preferred qualifications - Experience launching co-developed partner solutions with a product/engineering organization, including agentic or developer-tooling offerings. - Prior ownership of a large-scale partner certification or academy program. - Hands-on familiarity with Claude, Claude Code, LLM application architectures, and enterprise AI deployment and governance. - Experience at a high-growth company where the program was being built while the plane was flying. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's New Markets and Monetization team exists to bring transformational AI to every business. Model capabilities are compounding, and the Claude Platform is how businesses build with our models. Our job within the Claude Platform is to make sure that every industry, not just software, can build on frontier AI with our APIs and that everyone who builds on Claude prospers by it. The work falls into two pillars that reinforce each other. - Verticals: identifying and building for the next API markets. - Monetization: the commercial machinery that lets the platform do business anywhere, with anyone: a single way for usage that flows through partners, resellers, and other platforms. We're hiring the founding product managers onto this team, and this posting covers all of them. You will own one of the areas below outright, work day to day with a dedicated engineering lead and designer, and be measured on numbers that are company-level goals for the half. Almost none of this exists yet, so most weeks you will be the person defining the problem rather than receiving it. Key responsibilities - Partner and platform billing. How usage that reaches Claude through a partner, reseller, or another platform is metered, attributed, and billed, and the program terms that go with it, so indirect volume can grow without our risk growing with it. - Spend observability and controls. Giving enterprise buyers a precise view of what they spend and where, and turning that into limits and controls they can enforce, including programmatically. - One account, and the startup path built on it. One login and one wallet across the API and Claude's subscriptions, so a builder's first commit, first production call, and first invoice are on a single plan. - A vertical. The platform strategy for a particular industry: what builders there need that the platform doesn't yet do, which bets to make, and shipping them with the vertical's own product and go-to-market partners. Whatever your focus, you will: - Build on primitives owned by the Billing Platform and Auth & Identity teams, and ship with Growth, Go-to-Market and Startups, Legal, Finance, and Data Science - Structure the commercial terms yourself, whether that's pricing, revenue attribution, or partner and startup program terms, with Finance, Legal, and Business Development - Talk to every side of the ecosystem, from enterprise buyers and startup builders to the partners that resell or embed Claude and the industry customers we're building for, and turn it into a roadmap where each new participant makes the platform more valuable to the rest - Own the team's outcome metrics: the share of the platform's business outside coding, new startup revenue, volume unified across the API and Claude's subscriptions, and the volume partners book on Claude, and make sure the instrumentation exists to know whether what you shipped moved them - Write the strategy, the specs, and the analysis yourself Minimum qualifications - Have owned a developer platform, API, billing or money-movement product, or self-serve growth product end to end, and were the person accountable for its revenue or activation number (for most people this means five or more years as a PM, but we care about the ownership, not the years) - Have built with or shipped on top of large language models, and have a view on what changes about billing, identity, or distribution when the customer is sometimes an agent - Are technically fluent: you read API docs, work through a billing, identity, or attribution design with engineers, and make calls on platform primitives yourself - Pull your own data: SQL or equivalent, to define a metric, build a funnel, or size a market - Have negotiated pricing, revenue share, or program terms with Finance, Legal, or Business Development counterparts - Write clearly enough that an engineer, an executive, and an external partner can each see the tradeoff you're making - Care about Anthropic's mission, and specifically about growing this platform in a way where the people building on it share in the upside Preferred qualifications - 8+ years of product management experience - Worked on metering, usage attribution, reseller or cloud-marketplace channels, or enterprise spend management - Taken a developer platform into a new industry, or built product in healthcare, life sciences, financial services, or another regulated industry - Grown a developer product's self-serve or startup business, including its pricing and packaging - Built account, identity, or subscription systems that span more than one product - Taken a product from zero to one, where the users, the product, and the economics all had to be worked out at once The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Manager of Beneficial Deployments Customer Success at Anthropic, you'll be a pivotal front-line leader managing Customer Success Managers who drive value across our portfolio of Beneficial Deployments Customers. Anthropic’s Beneficial Deployments team is focused on building AI for good through partnerships with high-impact organizations across education, public health, life sciences, economic mobility, and more. You'll directly coach and develop a team of 4+ CSMs while maintaining strategic oversight of high-impact customer engagements. This role demands exceptional people leadership combined with deep product knowledge and customer success acumen to guide your team in maximizing customer value and expanding our footprint across mission-driven organizations. This will be a player-coach role: in addition to leading the team, you will directly own a few strategic accounts, keeping you close to the day-to-day work of driving partner impact and letting you model excellence for your team . You'll be instrumental in building scalable CS processes, methodologies, and playbooks that will define how we grow and mature as an organization. Responsibilities: - Directly manage and develop a team of 4-8 Customer Success Managers supporting strategic nonprofit accounts - Serve as a player-coach by directly owning a few strategic accounts, driving outcomes for our highest-impact partnerships while demonstrating best-in-class customer success practices for the team. - Help shape and execute account strategies that nurture growth and deepen impact within nonprofit and mission-driven organizations, adapting enterprise CS motions to the realities of nonprofit budgets, capacity, and stakeholder structures - Support future nonprofit launches. As our products and offerings evolve, partner with Product, Marketing, Partnerships, and Sales to determine how we bring them to customers, and hold the team accountable for partners realizing the value the launch promised. - Coach team members on customer success best practices, including change management and adoption strategies, value realization, and expansion methodologies across our product suite - Join strategic customer engagements and escalations, demonstrating executive presence with C-level stakeholders across flagship partnerships - Help shape our systems integrator and implementation partner model, partnering internally to extend delivery capacity and reach far more nonprofits than we can serve one to one - Serve as a visible voice on AI adoption in the nonprofit and mission-driven sector, represent Anthropic at sector convenings, customer-facing forums, and bring that external point of view back to sharpen our strategy - Build and refine scalable CS processes including success planning frameworks, QBR templates, and repeatable sector playbooks - Partner closely with Sales to identify expansion opportunities, facilitate smooth handoffs, and ensure aligned account strategies - Collaborate cross-functionally with Product, Engineering, Partnerships, Marketing, and Policy to advocate for customer needs and drive a seamless customer journey - Contribute to hiring, onboarding, and training initiatives as the Customer Success organization scales - Establish and nurture an AI-first, innovation-focused team culture, improving team processes and deepening team hands-on expertise - Conduct regular 1:1s, performance reviews, and career development planning for direct reports - Serve as escalation point for at-risk accounts and complex customer situations within your team's portfolio - Develop customer advocacy programs including case studies, testimonials, and communities of practice You may be a good fit if you have: - 7+ years of experience in customer success, account management, or customer-facing roles, with 3+ years of front-line management experience and nonprofit experience. - Proven ability to drive value realization and measurable customer outcome, with working knowledge of consumption-based and seat-based business models; you measure success by the impact delivered, not consumption alone. - Clear understanding of nonprofit operational realities (budget cycles, grant funding, board governance, resource constraints) and awareness of how mission-driven organizations evaluate success (impact metrics, beneficiary outcomes, funder requirements) - Proven track record of managing and building customer success teams in Nonprofit, SaaS, API, or AI/ML companies - Technical fluency to understand AI/ML products, navigate technical conversations, and coach teams on product capabilities across multiple offerings - Strong executive presence and ability to represent Anthropic with customer technical and business leaders - Strong business acumen with ability to articulate value, calculate ROI, and drive customer business outcomes - Ability to balance strategic thinking with tactical execution and context-switch between coaching, customer engagement, and operational planning - Experience building CS processes, playbooks and operational frameworks, using data to drive team and customer outcomes - Demonstrated ability to coach customer success professionals and systematically improve team performance against KPIs - Track record of achieving team targets for expansion, retention and customer satisfaction - Passion for responsible AI development and helping customers transform their businesses with cutting-edge technology Key Qualifications & Experience: - People Management - Customer Success Strategy (Build the business) - Executive Customer Engagement - Operational Building (Run the Business) - Product & Technical Acumen The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Corporate Network Engineering team owns Anthropic's corporate network: the wired, wireless, and edge infrastructure in our offices and research facilities around the world, and the standards, management systems, and telemetry that let a small team run them. We hold that network to the bar of a production service — designed for failure, managed as code, observable end-to-end, and secure by default — while delivering reliable connectivity to the people who depend on it every day. You'll set the technical direction together with your engineers and own the final decision on it and on the architecture standards, review and guide designs and the hard trade-offs, and lead vendor and platform decisions. You'll lead and grow a small team of network engineers: set priorities, drive decisions to closure, hire, and develop people. The team is small and the scope is broad, so this role needs real depth in campus and edge networking, judgment about what to standardize, automate, buy, and build, and the range to go from a wiring-closet decision to a budget defense in the same afternoon. You'll report to the head of IT Engineering and partner closely with our Buildouts, AV, and Endpoint teams; with Security Engineering on network security, authentication, and detections; with Physical Security, whose systems are critical for protecting Anthropic employees and depend on a reliable network; with Workplace, Real Estate, Procurement, and external logistics and integration partners on new site buildouts; and with our production networking teams, whose bar for reliability and automation is the one we hold ourselves to. Your work will directly shape how we scale to AI Safety Level 4 and beyond. Responsibilities - Lead and grow the Corporate Network Engineering team — hiring, development, performance, planning, and prioritization - Set technical direction with the team and own the final call on architecture standards across edge, campus switching, wireless, segmentation, out-of-band management, and telemetry; review designs and risky changes, and step in on the hard problems - Own reliability and operations: monitoring people act on, incident response and post-incident reviews that produce changes, an on-call and escalation model a small team can sustain, change safety, and lifecycle currency - Move the fleet toward network-as-code: templated configuration with change control, staged rollouts, drift detection, and automation that removes operational toil - Partner with Security Engineering and Detection & Response on network authentication, segmentation, and the network as a detection source - Deliver networks for new offices and research facilities and upgrade existing sites through live migrations — with Buildouts, AV, Physical Security, Workplace, Real Estate, and our logistics partners — while keeping interruptions to employees minimal - Own vendor, carrier, and integrator relationships and the network hardware budget: evaluations, contracts, lead times, and multi-year refresh You may be a good fit if you - Have 10+ years designing, building, and operating enterprise campus and edge networks, including at least one environment with dozens of sites across regions - Have 5+ years leading engineers, including at least 3 years as a people manager - Lead through technical judgment: whether or not you've been hands-on-keyboard lately, you can go from architecture to protocol behavior to failure modes with your engineers, and your reviews make their designs better - Default to the secure design, then do the creative work to make it painless for the people using it — and can walk an executive or an engineer through the trade-off and make a recommendation - Have run the operational side, not just designed it: out-of-band access, monitoring people act on, an on-call model a small team can sustain, and change safety - Are pragmatic about what to build, buy, or automate, have run vendor evaluations with real money at stake, and chase problems across organizational boundaries to the actual root cause - Communicate clearly with engineers, executives, contractors, and landlords, and can bring a room of senior engineers with strong opinions to a decision they'll commit to - Want real technical ownership with a small team — including if you've led a larger organization before — and care about building infrastructure for an organization trying to get AI right Strong candidates may also - Have led corporate networking at a company that added offices faster than it added network engineers - Have implemented certificate-based network authentication (802.1X/EAP-TLS or equivalent) and identity- or device-based segmentation at scale - Have shipped network configuration as code and built telemetry pipelines that security and support teams actually use - Have designed dense wireless for large event spaces and high-occupancy floors - Have been through multiple office builds with real estate and construction teams — including networks that physical security systems depend on — and know what to ask for before the walls close - Have managed integrators, MSPs, or smart-hands providers as an extension of a small team while keeping design authority in-house Technical Skills We're looking for deep, hands-on experience in each of these — not surface familiarity: - Enterprise edge: firewalls and routing (HA design, routing protocols, policy management across a fleet) - Campus switching and high-density enterprise wireless (L2/L3 design, redundancy, RF design, 6 GHz, high-density venues) - Segmentation and access control (certificate-based 802.1X, dynamic segmentation, guest and IoT isolation) - Out-of-band management and secure, auditable administrative access - Network automation and configuration as code (Python, templating, vendor APIs, source control, CI) - Network observability (streaming telemetry, flow and log pipelines) - Physical infrastructure for buildouts (MDF/IDF design, structured cabling, power and cooling, carrier and path diversity) Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 - $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for an M&A Tax Director to join our Tax Team at Anthropic. As the company pursues an active and growing pipeline of acquisitions, acqui-hires, data center investments, joint ventures and other strategic transactions, this role will be a core member of our transactions tax function, working closely with our M&A Tax Lead. You will support and lead tax workstreams across the deal lifecycle, from initial evaluation through post-closing integration, and serve as a trusted resource for our Corporate Development, Legal, and Finance teams. Beyond transactions, this role will support a wide range of strategic and operational tax matters. This is a high-impact role with significant ownership and a front-row seat to some of the most consequential transactions and tax planning work happening in AI today. If you're excited to help build a function from the ground up at a company working on one of the most important challenges of our time, we'd love to hear from you. Key responsibilities - Lead and manage tax workstreams for acquisitions, mergers, acqui-hires, asset and stock purchases, corporate reorganizations, financing transactions, and minority investments, including tax due diligence, risk identification and quantification, and deal structuring analysis - Partner with Corporate Development on deal pipeline evaluation, providing early-stage tax input to inform go/no-go decisions and deal economics - Draft and review tax provisions in transaction documents, including purchase agreements, merger agreements, and ancillary deal documents - Support post-acquisition tax integration planning, including entity rationalization, intercompany restructuring, and tax attribute analysis - Advise on tax considerations for data center investments, build-to-suit arrangements, leases, and related infrastructure transactions, and coordinate with relevant team members on incentives, credits, and indirect tax matters - Advise on the tax structuring of joint ventures, strategic partnerships, and REIT-related investment structures, including real estate and data center joint venture arrangements - Help build and maintain transactions tax playbooks, due diligence checklists, and internal processes - Coordinate with the tax compliance and provision teams to ensure clean handoff of closed transactions, including documentation of structure, elections, tax attributes, and reporting positions - Prepare technical tax memoranda documenting transactions, material tax positions, and risk assessments to support internal sign-off, financial statement audit, and tax return filing positions Minimum qualifications - JD or CPA - M&A and transactional tax experience gained at a large law firm, Big 4 M&A tax practice, or in-house transactions tax team - Strong technical expertise in federal and state tax rules governing corporate transactions, including Section 338, Section 368 reorganizations, and asset and stock acquisitions - Experience running tax due diligence workstreams and quantifying tax exposures in transaction contexts - Experience drafting and negotiating tax provisions in M&A transaction documents - Experience supporting post-acquisition integration from a tax perspective, including entity rationalization and intercompany restructuring Preferred qualifications - 7-10 years of tax experience, with significant M&A and transactional tax exposure - LL.M. in Taxation or MST - Experience providing general tax advisory support, including advising on commercial contracts, operational matters, and cross-functional tax questions - Experience with joint ventures, partnerships, minority investments, revenue-sharing arrangements and financing transactions - Experience with REITs, including REIT qualification and tax considerations for REIT joint ventures and real estate investment structures - Experience with data center acquisitions, infrastructure transactions, or real estate tax considerations - Tax experience at a high-growth technology company - Knowledge of state and local tax (SALT) implications of transactions - Experience with equity compensation tax issues in the context of acquisitions and acqui-hires - Exposure to international tax aspects of cross-border acquisitions - Exceptional communication skills, with the ability to translate complex tax issues into clear, actionable guidance for Legal, Finance, and Corporate Development partners - Comfort with ambiguity and a willingness to help build processes from scratch in fast-paced environments - Passion for Anthropic's mission to build safe, transformative AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 - $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's infrastructure fleet spans a growing set of clouds, neoclouds, and on-prem sites. Every part of it is expanding rapidly. Capacity Engineering is the team that connects every stage of that growth, from capacity planning to supply management to capacity delivery to utilization. We partner on supply deals, wire telemetry from day zero, own the canonical capacity data layer, and build the planning and enforcement tools every research and product team relies on. As an Infrastructure Capacity Planner on the Demand Planning team, you'll own the medium-range demand forecast for every resource class we consume: accelerators, CPU, storage, network, and managed services. Your forecast will support sourcing and purchasing, prioritization, efficiency targets, and workload optimization. Key responsibilities - Build and own the medium-range multi-resource demand forecast: accelerators by chip/interconnect class, CPU by shape, storage by tier and access pattern, egress by path, managed services by SKU — driven by model roadmap, RL/inference growth, eval volume, and retention policy rather than trend lines. - Run the plan-vs-reality loop. Diff planned allocations against observed fleet occupancy weekly, surface unrecorded trades and stale allocations, and drive variance toward zero with our planning-tools and data teams. - Qualify each incoming capacity tranche against the forecast before signature: right shape, region, quarter, and supporting-resource envelope (storage, egress, CPU). - Partner with Finance and cost-efficiency teams to turn the forecast into core drivers covering the large majority (≥80%) of non-accelerator spend, and to aim savings work where waste will appear next. What you bring - Have done capacity, demand, or supply planning for large-scale technical infrastructure (cloud, HPC, hyperscale, or a large internal platform) and can articulate the difference between a forecast, a plan, and an allocation. - Build the model yourself rather than specifying it for someone else: SQL against a warehouse, Python/pandas or a proper forecasting/optimization stack. - Understand data-center resource classes well to know why storage and egress don't forecast like GPUs, and why a contract's headline chip count is rarely the binding constraint. - Prefer simple, inspectable models to clever opaque ones, and instrument your own forecast error. Preferred qualifications - Direct experience with cloud or neocloud providers on reserved-capacity onboarding, private offers, or capacity commitments. - Demand planning or forecasting experience for accelerator fleets, including translating research or product roadmaps into resource requirements. - Data center or colocation delivery experience: power and space planning, network turn-up, site acceptance criteria, and vendor management. - Experience with accelerator health and burn-in, collective-communications sanity testing, or fleet-health SLOs, and the ability to define healthy rigorously. - Experience building lifecycle or state-machine services, or systems of record for infrastructure assets. - Experience onboarding a new hardware generation into an existing scheduler and observability stack. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role You will play a critical role in scaling our revenue by managing complex deals and developing standardized processes that balance speed with control. You'll work at the intersection of finance, sales, legal, and compliance teams to ensure our products reach customers to support Anthropic's rapid growth. Day-to-day, you'll quarterback complex deals through CPQ, contract management, and internal approvals. Over time, you'll also identify and drive improvements to the systems and workflows you operate in — embedding approved deal structures into Salesforce, improving CPQ configurations, and helping build the operational infrastructure that lets a lean team support enterprise deal volume at scale. Key responsibilities - Quarterback deals through internal processes — CPQ quote-building, approval routing, contract execution — ensuring accurate, timely completion - Own Anthropic’s deal-making execution processes, ensuring that all commercial workflows can seamlessly navigate internal processes - Build AI-native tooling with internal teams to meaningfully scale our commercial processes - Optimize operational workflows that reduce friction in the sales cycle and accelerate time-to-close - Act as the bridge between Sales and supporting teams, maintaining contract and compliance management systems and ensuring agreement terms align with company standards - Maintain visibility on high-priority deals, providing appropriate escalation paths when commercial terms require executive input - Collaborate with Legal teams to validate that agreements reflect the correct commercial intent and approvals - Track and analyze deal patterns to identify bottlenecks and propose data-driven improvements to our sales operations - Maintain and improve deal documentation: approval policies, pricing guidelines, SKU guidance, and process playbooks Minimum qualifications - Are comfortable both executing within existing systems (CPQ, SFDC, contract platforms) and improving those systems as you go - Bring a detail-oriented, process-improvement mindset: you notice when something is manual or error-prone and you want to fix it - Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments - Strong project management skills with experience juggling multiple critical initiatives - Bias toward action and comfort operating in ambiguity - Have experience with CRM systems, CPQ tools, and contract management platforms - Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership Preferred qualifications - Have 3+ years of experience in deal desk, sales strategy, commercial operations, or related roles, preferably in a high-growth technology environment - Experience with Salesforce, CPQ tools (Nue, Apttus, Steelbrick), or contract management platforms (Ironclad, Docusign CLM) - Background in project management, sales strategy, or commercial operations, where you’ve balanced operational excellence with building scaled systems - Experience with deal operations at companies with subscription and/or consumption-based business models - Knowledge of enterprise software contract terms and industry-standard commercial practices - Understanding of AI business models and the unique commercial considerations The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 - $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role You will play a critical role in scaling our revenue by managing complex deals and developing standardized processes that balance speed with control. You'll work at the intersection of finance, sales, and legal teams to ensure our products reach customers to support Anthropic's rapid growth while maintaining the financial discipline and risk management practices essential for a frontier AI company. You'll have the opportunity to build scalable processes from the ground up and directly impact some of our most strategic customer relationships. Responsibilities - Financial Analysis : Conduct growth and margin analysis, discount impact assessment, and deal profitability modeling to support data-driven decision making - Deal Structure Optimization : Collaborate with sales teams to structure deals that meet customer needs while protecting Anthropic's financial and strategic interests - Deal Review and Approval Management : Review and analyze enterprise deals exceeding standard parameters, focusing on pricing structures, contract terms, and financial implications - Cross-Functional Coordination : Serve as the primary liaison between sales, finance, legal, and compliance teams throughout the deal lifecycle, ensuring smooth coordination and timely approvals - Risk Assessment : Evaluate potential risks in non-standard deal terms and escalate appropriately to senior stakeholders - Policy Implementation : Help develop and maintain deal approval policies, pricing guidelines, and exception handling procedures aligned with company objectives - Process Development : Create and refine approval workflows, escalation procedures, and standardized templates that enable efficient processing of complex deals while maintaining appropriate controls - Documentation and Reporting : Maintain comprehensive deal documentation and provide regular reporting on deal strategy metrics, trends, and performance You may be a good fit if you - Have 7+ years of experience in deal strategy, deal desk, finance, sales strategy and operations, or related analytical roles, preferably in a high-growth technology environment - Possess hands-on experience building sophisticated financial models, conducting pricing optimization, and structuring complex deals - Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments - Are detail-oriented with strong process improvement instincts and the ability to design scalable workflows - Have experience with CRM systems, CPQ tools, and contract management platforms - Can work effectively in fast-paced, ambiguous environments while maintaining accuracy and attention to detail - Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership Strong candidates may also have - Experience at a SaaS, cloud, or AI/ML company with complex enterprise sales cycles - Background in consulting, investment banking, or other roles requiring deep analytical and strategic thinking - Experience with deal desk operations at companies with subscription and consumption-based business models - Knowledge of enterprise software contract terms and industry-standard commercial practices - Understanding of AI business models and the unique commercial considerations The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 - $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Job Description About the role Join Anthropic's Customer Success team as an EMEA based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across EMEA helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code. You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. As one of our early CSMs in EMEA, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones. Responsibilities: - Build trusting, strategic relationships with key EMEA customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion - Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions - Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer - Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments - Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of EMEA customers - Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment - Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows - Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement - Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic - Build Anthropic's brand and customer relationships as a member of the first in-region CS team, developing EMEA-specific processes, playbooks, and best practices where needed that account for regional business cultures You may be a good fit if you have: - 6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar) - Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each - Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns - Experience explaining and demonstrating technical products to various audiences - Strategic mindset to identify growth opportunities and translate them into actionable expansion plans - Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs - Strong project management skills and ability to manage multiple customer relationships - Passion for AI and interest in responsible development of advanced systems - Experience working in and building a growing region, while navigating across time zones with US-based headquarters - A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player - (Bonus) Fluency in French, German, Spanish or Italian The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €150.000 - €190.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Join Anthropic's Customer Success team as our first Japan-based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across Japan helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code. You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. As the founding CSM in Japan, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones. Responsibilities: - Build trusting, strategic relationships with key Japanese customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion - Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions - Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer - Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both our consumption-based and seat-based products to drive full value from contracted commitments - Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of Japanese customers - Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment - Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows - Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement - Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic - Build Anthropic's brand and customer relationships as the first in-region CS presence, developing where needed, Japan-specific processes, playbooks, and best practices that account for regional business cultures You may be a good fit if you have: - 6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar) - Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each - Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns - Experience explaining and demonstrating technical products to various audiences - Strategic mindset to identify growth opportunities and translate them into actionable expansion plans - Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs - Strong project management skills and ability to manage multiple customer relationships - Passion for AI and interest in responsible development of advanced systems - Experience working in and building a growing region, while navigating across time zones with US-based headquarters - A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player - Fluency in English and Japanese Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and support user well-being. This role focuses on the data foundations that make that work possible: the pipelines, stores, and governance controls that our detection, evaluation, and review systems are built on, deployed across AWS, GCP, and Azure. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. The systems you build sit underneath decisions with real consequences for customers and for people affected by model misuse, and much of the data moving through them is sensitive. Correctness, retention discipline, and access control are core engineering requirements here rather than things bolted on afterward. You will also design for portability from the outset, because these systems run in customer-managed and third-party environments you do not fully control. Key responsibilities - Build and operate the data platform that powers Safeguards, including ingestion and processing pipelines, warehouses and other data stores, and the schemas and interfaces that detection and review systems depend on - Keep Safeguards systems running day to day and hold a high operational bar that serves both safety and customers, while reducing the manual effort needed to sustain it - Own data governance and integrity, including retention and access controls, privacy-preserving handling of sensitive data, lineage, and correctness guarantees that downstream consumers can rely on - Design systems that run portably across cloud providers, working within the constraints of customer-managed and third-party environments - Partner with the analysts, investigators, and researchers who rely on this data, and build the internal tooling their work depends on Minimum qualifications - Proficiency in Python and SQL - Experience building and operating data pipelines or data stores in production - Ability to work across the data stack, including ingestion, storage, and consumption - Strong written and verbal communication skills, including the ability to explain technical tradeoffs to people outside your discipline Preferred qualifications - Extensive experience as a software engineer, including significant time on data-intensive systems - Experience with integrity, spam, fraud, or abuse detection and mitigation - Experience building trust and safety detection and intervention mechanisms for AI or machine learning systems - Experience building and operating large-scale distributed data infrastructure - Experience working across multiple cloud providers, or building infrastructure designed to be provider-agnostic - Experience meeting data governance requirements in a regulated or high-sensitivity domain - Experience working closely with operational teams to build custom internal tooling The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're looking for a Capabilities Researcher to join the team building Claude Security. In this role, you'll identify which security capabilities in frontier models are ready to build on, measure how well they perform, and work out how to make them useful to customers who are not security experts. Frontier models have become substantially more capable at security work over recent generations, and they continue to improve with each release. That progress creates a set of practical questions: which capabilities are reliable enough to depend on, how they perform in realistic conditions, how they behave when an adversary is involved, and where their limits are. You'll be responsible for answering those questions through fast prototyping and rigorous evaluation, and your findings will shape what the team decides to build. You'll also work on making those capabilities usable. Together with engineers on the team, you'll design the scaffolding, tooling, and defaults that let a strong model capability do useful work for a non-expert, and you'll stay involved as it becomes a product. This is a research role on a product team, with a broad charge and real latitude in what you investigate. It suits someone who already has ideas about what AI should be able to do for security teams and wants the models, the time, and the engineering support to pursue them. Responsibilities - Prototype rapidly to find define the AI frontier for cybersecurity work - Design evaluations that measure model performance on the work security teams actually do - Build the datasets, harnesses, and scoring those evaluations depend on - Engage with the cybersecurity community to help define where AI can make the most impact - Work with engineers and researchers to operationalize promising capabilities into something customers can rely on - Track how model capabilities for security are changing, and what that means for what we build next - Share findings that inform product direction, and partner with product leadership on priorities You may be a good fit if you: - Have deep expertise in one or more security domains, such as vulnerability research, exploit development, reverse engineering, malware analysis, incident response, or offensive security - Have built AI-powered tools or capabilities for security work - Can get from an idea to a working prototype quickly, and abandon the ones that don't hold up - Are comfortable designing rigorous evaluations and interpreting the results honestly - Can write and communicate clearly about technical findings - Have 7+ years of experience in security research, security engineering, or a closely related field Strong candidates may also have: - Published research, CTF results, CVEs, or open source security tooling - Experience with model evaluation, benchmarking, or red teaming - Experience building agentic applications - Familiarity with the safety considerations of AI in security contexts Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking research scientists with deep medicinal chemistry expertise to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be an expert medicinal chemist with hands-on experience designing, synthesizing, purifying, and characterizing small molecules. Above all, you'll close the loop between AI-generated hypotheses and experimental data to share with the community. Working alongside AI researchers and engineers, you'll drive experimental programs end to end and pressure-test AI-designed molecules and AI-proposed synthetic routes against real chemistry. This role is fully on-site in the San Francisco Bay Area. Key responsibilities - Design multi-step synthetic routes for small molecules and oversee their execution end to end, including route selection, reaction optimization, purification strategy, and interpretation of full characterization data (NMR, LC-MS, HPLC) - Coordinate synthesis and biological evaluation with external contract research organizations and academic partners - Evaluate AI-designed molecules and AI-proposed synthetic routes, drive them to experimental readout, and feed results back to research teams - Apply medicinal chemistry principles, including SAR analysis and physicochemical property optimization, to compound design and prioritization - Ensure experimental data across programs is high quality and well documented, including procedures, spectra, and failure modes - Communicate findings clearly to chemistry, AI research, and life sciences audiences Minimum qualifications - PhD in chemistry - Demonstrated medicinal chemistry experience, including SAR-driven design and optimization of small molecules, with recent, sustained hands-on synthetic work - Comfort navigating ambiguity and defining problems in a rapidly evolving research environment - Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications - 5+ years of medicinal chemistry experience beyond the PhD - Track record of advancing programs from hit identification through lead optimization - Experience directing synthetic chemistry activities at contract research organizations - Computational chemistry, cheminformatics, or coding skills, for example Python with RDKit or pandas for data analysis and automation - Experience using AI or ML tools in the life sciences - Publications and/or patents demonstrating scientific impact The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The People Products team exists to support Anthropic’s mission by defining the blueprint for AI at work. We help hire the best person in the world for every job, ensure manager effectiveness, ramp new hires successfully, and ensure that we apply first principles thinking in how we shape Anthropic’s culture through the tools we build. We cover the entire employee lifecycle from hiring to onboarding, teamwork, and promotions. You’ll work directly with Claude on problems that are genuinely unsolved. You’ll move fast — prototype to production in days or weeks. We believe in cross-functional thinkers who can reason across product, design, and engineering. You’ll be given high autonomy, own your decisions, and ship constantly. If you’ve experienced the pain of bad people practices and want to be the person who fixes them at the most consequential AI company in the world, this is that job. Key responsibilities - Design AI-native workflows across the People Products portfolio defining what is possible in applied AI for people processes - Contribute to the strategic direction of our internal tools, rooted in deep user empathy - Define feature areas with exceptional attention to detail and polish, identifying opportunities to improve quality and consistency of broader flows - Craft beautiful, polished, and delightful user interfaces that build trust and showcase the power of our AI technology - Collaborate with product managers, engineers, and internal stakeholders — HR teams, recruiters, managers — to define product vision, strategy and roadmaps - Rapidly prototype ideas using code and other methods to communicate concepts and build excitement - Find creative ways to ship high-quality work in a fast-paced, often ambiguous, resource-constrained startup environment Minimum qualifications - Experience designing complex workflows, enterprise/B2B SaaS, or people products - Strong portfolio showcasing user-centric design thinking, polished UI craftsmanship, and innovative interaction paradigms - Proven track record of executing end-to-end on large and complex products or a series of products in ambiguous environments - Excellent collaboration and communication skills to work effectively with cross-functional teams and influence without authority - Passion for crafting scaled, highly impactful, safe and beneficial artificial intelligence technologies to enable new possibilities - Experience with prototyping, especially using front-end code (e.g. HTML/CSS/JS) preferred Preferred qualifications - You ship fast and stay in motion. You'd rather get something in front of users this week than perfect it for a month. You prototype in code, stay scrappy when speed matters, and know when to polish versus when to learn. - You're rethinking the basics. Many UI primitives were designed for a different era. You're excited to question fundamental assumptions and invent patterns that feel native to AI. - You're AI-native in how you work. You're already using Claude Code, Claude Design, or similar tools to extend what you can build. You see AI as a creative partner in your own practice. - You stay close to the models. You pay attention to where capabilities are heading, not just what Claude can do today. You design for the product we're becoming. - You elevate craft while moving fast. You care about the details—the pixels, the copy, the edge cases—and find ways to maintain that care while shipping quickly. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $260,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As Developer Relations at Anthropic, you will help developers discover, onboard, and get the most out of Claude Code, Claude Tag, and future developer products. This role is pivotal in helping developers adopt Claude-powered products, growing our developer ecosystem, gathering crucial feedback to inform product development, and ensuring our products are used responsibly, safely, and securely. You'll be a hands-on technical voice for Anthropic's developer community, including partners, customers, and independent developers. Your success in this role will directly shape how developers experience and adopt Claude, helping users adopt new ways of working with Claude and bringing developer feedback back to product and research teams Building strong relationships between our developer community and internal teams will be essential as we advance our mission of creating reliable, interpretable AI that follows human intent. What You'll Do Drive Technical Strategy and Impact - Shape how developers discover and engage with Anthropic's developer products (specifically Claude Code and Claude Tag), bringing a strong point of view grounded in hands-on experience and feedback from users. - Build frameworks and mechanisms for measuring developer success that align with both business objectives and our mission of safe, beneficial AI - Prioritize community and content initiatives based on data, developer feedback, and business needs - Partner closely with product and engineering to ensure developer needs inform the roadmap Set the Bar for Developer Relations Craft - Help define what world-class AI developer relations looks like in this emerging field - Model excellence in technical content, code samples, and developer engagement that others can learn from - Contribute to and help evolve the processes and best practices the broader DevRel function relies on Drive Scaled Developer Adoption and Success - Understand the diverse needs of developers across segments, from individual hobbyists to enterprise engineering teams - Partner with GTM, Sales, and Marketing to support developer-focused campaigns that drive adoption - Lead and participate in high-impact developer events, workshops, and community activities that introduce Claude to strategic developer communities - Generate high-quality technical content (ex: sample apps, tutorials, documentation, integration guides, and best practices) that demonstrates how to use Claude responsibly and effectively Drive Alignment Through Cross-Functional Collaboration - Act as an advocate for developer needs at Anthropic, translating developer feedback into concrete product and content initiatives - Collaborate with Research to translate AI capabilities into accessible educational resources - Partner with Communications and Marketing to amplify developer success stories - Promote best practices for responsible AI use among developers building with Claude About You - You have 5+ years of experience in developer relations, developer experience, or technical product/engineering roles, with a track record of shipping content or tools that measurably grew a developer ecosystem - You're technically credible. You can deeply understand AI/ML and API concepts and translate complex technical ideas for various audiences, from individual developers to enterprise engineers - You have hands-on technical ability. You can write production-quality code demos, critically review developer samples for quality and best practices, and give specific, actionable technical feedback - You have real insight into developer psychology and behavior. You know how to reach developers through the right channels, build authentic affinity for products, and design content that drives meaningful adoption - You're passionate about AI's potential and deeply committed to ensuring it's developed responsibly, with a genuine interest in AI safety and ethical considerations - You're a collaborative contributor who can influence across teams without direct authority, building strong relationships with stakeholders at all levels - You've thrived in high-growth environments and can adapt quickly as priorities evolve Nice to Have - Experience working specifically with large language models or generative AI - Background in AI safety, ethics, or responsible AI development - Public speaking experience at industry conferences and events - Content creation experience (technical writing, video tutorials, etc.) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 - $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our Partner Experience team is building an AI-native operating model. We already run a growing set of partner-facing systems: a partner portal, CRM workflows, enablement and certification platforms, and the trackers that connect them. The systems lead on our team owns that foundation — the portal, the data model, and the integrations that keep partner records accurate and flowing. This role is the other half of that build. As our AI Operations Engineer, you'll design, build, and run the agentic workflows that sit on top of those systems: Claude-powered agents and automations that triage partner applications, draft and send partner communications, sync data across tools, surface deal and enablement signals, and take routine operational work off the team entirely. Where the systems lead builds the rails, you build what runs on them. This is a builder role, not an analyst role. You'll ship working automations weekly, own them in production, and continuously expand what the team can do without adding headcount. Key responsibilities - Design and build agentic workflows (using Claude, MCP connectors, and API integrations) that automate core partner experience operations: application triage, onboarding, deal registration, certification tracking, partner communications, and reporting - Partner closely with our systems lead to integrate these workflows with the partner portal, CRM, enablement stack, finance systems, and database systems — consuming and writing back to the systems of record rather than creating shadow processes - Turn recurring manual work into reliable, monitored automations: define the workflow, build it, test it against real cases, add guardrails and human-in-the-loop checkpoints where decisions carry risk, and document how it runs - Own the operational health of what you ship: error handling, edge cases, escalation paths, and iteration when partner processes change - Prototype fast with the team: sit with partner managers, find the highest-friction workflows, and get a working v1 in front of them in days, not quarters - Establish reusable patterns (skills, prompts, connectors, playbooks) so each new workflow is faster to build than the last, and teach the broader team to self-serve on the simple ones Minimum qualifications - Hands-on experience building with LLMs and agentic tooling: prompt and workflow design, tool/function calling, MCP or comparable integration frameworks, and evaluating agent output quality - Experience working across APIs and business systems — CRMs (e.g., Salesforce), PRM/partner portals, LMS/certification platforms, spreadsheet-based tools, Slack, and email — and scripting the glue between them in Python or JavaScript - Strong judgment about automation risk: knowing which steps an agent can own outright, which need a human checkpoint, and how to design for graceful failure - Process instincts: ability to look at a messy manual workflow, find the actual bottleneck, and redesign it rather than just automating it as-is - Clear written communication; documents what you build so it outlives you Preferred qualifications - 5+ years in operations engineering, solutions engineering, business systems, RevOps, or a similar build-heavy role, ideally supporting a partner, sales, or customer success organization - Experience in partner/channel operations specifically (deal registration, MDF/co-sell programs, partner tiering, certification pipelines) - Experience shipping internal AI tools or automations that are still running in production today - Familiarity with the Claude API, Claude Code, or agent frameworks; building custom MCP servers is a plus The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $215,000 - $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Senior Full Stack Engineer to help build the technical foundation for how Anthropic educates customers and enterprises at scale, and to shape what that even means when AI is the delivery mechanism, not just the subject being taught. Your work will define how millions of people experience learning about Claude: how content is served and adapted in real time, how assessments respond to what a learner actually understands, how credentialing systems verify genuine competence rather than course completion, and how the entire platform evolves as fast as the product it teaches. You'll build the infrastructure that makes AI-native education real — not as a concept, but as a working system that people interact with every day. You’ll own the technical vision for our AI-driven educational experience: the platform layer, enterprise readiness features, the data architecture, the AI-augmented pipelines, the integrations, and the delivery systems. You'll work with a handful of highly technical educational collaborators to own the technical vision and execution for how Anthropic’s education team delivers educational experiences at scale, and you'll build the AI-augmented pipelines and platform capabilities that let a small team of educators operate with reach and responsiveness that would otherwise require an organization ten times larger. This is an engineering role for someone who genuinely cares about how people learn. You'll make platform decisions that are deeply educational, and you need the judgment to make those decisions well, not just implement someone else's spec. You'll interface closely with Anthropic's security, infrastructure, and data teams, and you'll partner with trainers and educators on the GTM, devrel, and education teams who will be your primary stakeholders. Responsibilities - Architect and own Anthropic’s enterprise ready education platform and infrastructure — authentication/SSO, learner data models, content delivery, credentialing, and progress tracking — designed for scale, AI-forward features, and reliability from day one - Own the technical vision for how Anthropic delivers AI-driven educational experiences and shaping what's possible, not just building what's requested. You’ll determine what to build, what to extend, and what to replace as needs evolve - Build AI-augmented pipelines for content generation, real-time adaptation, assessment delivery, and quality assurance — working closely with the education team to understand what these systems need to do pedagogically - Design platform capabilities that enable genuinely new kinds of empowering learning experiences — adaptive paths, competency-based progression, AI-evaluated demonstrations of skill — not just digital versions of traditional courses - Interface with Anthropic's security, infrastructure, and data teams to ensure education systems meet organizational standards and integrate cleanly with existing architecture - Build platform abstractions that let non-engineers on the team configure, extend, and experiment with educational experiences without engineering bottlenecks - Make product-level decisions about how the platform works — you're shaping what the learning experience is, not just serving it You may be a good fit if you have - 7+ years of software engineering experience, with demonstrated ability to take a platform from zero to production at scale - Genuine passion for education — you think about how people learn, you have opinions about what educational technology should look like in an AI-native world, and you want to build it - A strong eye for quality educational content, with a sense of the complex systems that produce it - Full-stack engineering skills with particular strength in backend systems: databases, APIs, authentication, reliability, and infrastructure - Experience building and operating platforms that serve many concurrent users reliably - Comfort with ambiguity and ownership: you'll need to translate pedagogical intent into technical architecture without heavy specification - Experience interfacing with security and infrastructure teams to meet organizational requirements while maintaining development velocity - A working practice of using AI tools in your own engineering workflows — and genuine curiosity about how AI fundamentally changes what educational platforms can be Strong candidates may also have - Experience building or significantly contributing to learning platforms, credentialing systems, or educational technology products - Background in or exposure to learning science, instructional design, or educational research - Experience with SSO/identity (SAML, OAuth), badging standards (Open Badges), or LTI integrations - Familiarity with building systems that incorporate LLM capabilities as core infrastructure - Prior work at a high-growth company where you built platform infrastructure that other teams depended on - Experience designing systems that non-technical users configure and operate The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're looking for desktop app engineers to join our Claude product team and help build native applications that harness the transformative power of advanced language models. Your mission will be to package our AI capabilities into elegant desktop experiences that put unprecedented capabilities at users' fingertips. You will work with a talented team of engineers, researchers, and product specialists to design and implement key components that bridge our AI technology with intuitive user interfaces. Join us in this exciting mission to transform how people engage with our AI technology and unlock new realms of human potential. Today, our app is mostly web-based – but we’re eager to build the best possible version of Claude for macOS and Windows with a mix of both native and web technologies. You might be a great fit for this role if you’re up for the challenge of learning multiple programming languages. We are more interested in strong engineers excited to learn new languages and technologies to build the best possible experience than we are looking for people with hands-on experience in Chromium, Electron, C++, or the various native macOS and Windows APIs. We believe that strong engineers can learn whatever technology is best suited to build the best possible experience – and we understand that even the best engineers will have little experience with one of the operating systems and areas we’d like to invest in. We’re looking for curious engineers excited to figure out, with us, what AI on the desktop could do. Responsibilities: - Develop and maintain the core infrastructure and features within Claude.ai and in our Electron-based desktop app using a typical web stack (TypeScript, React) - Use native code (Rust, Swift, C++) to bring advanced features to the desktop app, connecting Claude to macOS and Windows - Optimize application performance, memory usage, and startup time across platforms - Design and build robust update mechanisms and deployment pipelines - Create monitoring tools to track application performance and user experience - Build a strong intuition for how advanced LLMs could be most useful on your computer, augmenting humans in their work You may be a good fit if you have: - Have 5+ years of experience as a software engineer, with strong emphasis on desktop application development - Have practical experience with Electron and deep understanding of its architecture - Possess strong JavaScript/TypeScript skills and experience with modern frontend frameworks - Take a product-focused approach and care about building solutions that are robust, scalable, and easy to use - Have experience with native module development in C++ to extend application capabilities - Understand macOS and/or Windows platform-specific technologies and development patterns - Have experience with cross-platform application packaging, code signing, and distribution - Thrive in a fast-paced, collaborative environment and enjoy working closely with cross-functional teams We’re working with a large number of technologies - and you might be an excellent candidate even if you’ve only worked with a subset of them. An ideal candidate may have never used Electron before but does have hands-on experience in working with Chromium’s C++. Similarly, a great candidate may have worked on Electron apps, but hasn’t used C++ or Swift before. We understand that even the best engineers will have more experience with some platforms than others. Strong candidates may also have experience with: - Experience working on and building operating systems, browsers, or deeply OS-integrated software (screensharing, video-calling, game engines, etc) - Experience integrating and working with AI/ML models and understanding their capabilities - Demonstrated success implementing cross-platform development strategies - Vision for the future of AI-powered desktop applications and a drive to make that vision a reality - Have experience with IPC (Inter-Process Communication) and security in desktop applications Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models. Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. You will sit at the frontier of enterprise AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the enterprise. Responsibilities: - Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements. - Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows. - Provide white glove deployment support for Anthropic products in enterprise environments. - Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams. - Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks. - Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement. - Potential Travel (based on location) to customer sites to build in person with customers. - Estimated 25% - Be a champion for Anthropic’s mission in the field. You May Be a Good Fit If You Have: - 4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply. - Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale. - Strong programming skills with proficiency in Python (and ideally in one or more additional languages like Typescript, Java, etc) and experience shipping production applications - High agency with an ability to navigate ambiguity present in complex organizations. - High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity. - Passion for advancing safe, beneficial AI systems through creative technical applications. - Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach. - A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus. - Experience with enterprise IT systems and/or AI deployment patterns is a plus. - Experience working as an FDE or in a professional services context is a plus. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: The Safeguards ML Infra team designs, builds, and operates the production infrastructure that powers Claude's safety systems. We own the critical backend services that ensure safety on the token generation path, and we own the operational work of getting those systems safely into production: standing up safeguards for every new model launch, and deploying new safety classifiers as they ship. Every frontier model release runs through this team – we configure, verify, and roll out safeguards across every platform Claude runs on (1P, AWS Bedrock, GCP Vertex, etc.), and we lead incident response when issues arise. This role sits at the center of that operational work. You'll ensure safeguards are properly configured and deployed for model launches and own the off-cycle deployment of new safety classifiers — canarying changes, verifying that the right safeguards are provably live on the right models, and holding rollback authority when something looks wrong. Every launch should also shrink the checklist, and the manual verifications should evolve into a system that runs itself. You'll turn launch runbooks into tooling, hand-built checks into continuous validation, and one-off deploys into a repeatable pipeline. We're looking for engineers with deep experience in production change management at scale — people who have owned deploy pipelines, config management systems, rollout safety, or launch readiness for systems under real production pressure. Familiarity with ML research or transformer architectures is not required — you will learn that on the job. What we prioritize is production judgment: a track record of shipping changes to critical systems safely, and of automating yourself out of the work you did last quarter. What you'll do: - Launch captain model releases: stand up, configure, and verify safeguards for every new model, and serve as the safeguards point of contact in the launch room during release windows. - Own the off-cycle deployment of new safety classifiers as they ship from research — canarying rollouts, running post-deploy validations, and investigating discrepancies when something looks wrong. - Verify that the right safeguards are provably live on the right models across every deployment platform (1P, AWS Bedrock, GCP Vertex, etc.), and detect and eliminate configuration drift between them. - Automate yourself out of last quarter's work: turn launch runbooks into tooling, hand-built checks into continuous validation, and one-off deploys into a repeatable pipeline. - Plan to use Claude aggressively to do this! And be a trailblazer that paves the path for safe agentic operations of safety-critical systems. - Build and maintain a safeguards registry with full provenance — what is running in production, on which model, on which platform, and when and by whom it was deployed. - Participate in on-call and operational-duty rotations covering service incidents, model provisioning, and time-sensitive research and safety launches. You may be a good fit if you: - Have owned production change management at scale — deploy pipelines, config management systems, canary analysis — and have strong opinions about what "verified" means. - Have run high-stakes releases: served as a launch captain, incident commander, or release owner for systems where a bad deploy has real consequences, and are energized rather than drained by being in the critical path. - Have meaningful on-call experience for production systems, including incident response and postmortem-driven improvements — and a track record of turning (and fixing!) postmortem action items into process and tooling changes. - Have a desire to close the gap where nobody has yet raised their hand, even if it requires manually hand-holding processes until automation and tooling can be built. - Have hands-on experience deploying and operating on cloud platforms (AWS, GCP) at scale. - Are proficient in Python; experience with Rust is a plus but not required. Strong candidates may also have: - 8+ years of industry software engineering or site reliability engineering experience. - A demonstrated history of reducing operational toil through automation, including transitioning teams from manual deployment processes to self-serve pipelines. - Experience running launch or production-readiness review processes across multiple teams. - Familiarity with LLM inference systems and the operational characteristics of transformer-based models. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes. This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis. You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organizational complexity that comes with deploying AI agents in enterprise environments. You need to be technical enough to hold architecture conversations with engineering stakeholders and polished enough to run executive briefings with C-suite sponsors. Responsibilities - Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against. - Lead technical discovery. Map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments. - Run day-to-day engineering execution. Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path. - Own product scoping for field engagements. Define the MVP, author requirements documentation, prioritize the engineering backlog, and manage scope against success criteria as requirements evolve. - Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders. - Own value measurement and ROI. Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors. - Codify reusable delivery assets. Build solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models. - Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics. - Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed. - Run delivery operations. Sprint ceremonies, milestone reviews, and progress reporting. - Travel to customer sites. Build relationships, unblock delivery, and accelerate adoption. (25–50% expected). You May Be a Good Fit If You - Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role. - Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. - Have experience in a specialized vertical (financial services, life sciences, pharmaceutical, retail, mining, agriculture, etc.). - Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs. - Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making — ideally across multiple workstreams in regulated industries. - Have executive presence — polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments. - Thrive in ambiguity and bring structure where none exists. - Have a builder's mindset — you're here to create a function, not join one. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $275,000 - $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.