Scale AI

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Scale's internship is not a side project. Interns own real, shipped work on the same roadmaps as full-time engineers, with mentorship from world-class talent and a culture that values ownership, speed, and truth-seeking. Many of our interns return as full-time Scaliens. Example Projects - Build reinforcement learning and post-training data pipelines that power frontier model development - Develop evaluation infrastructure that measures model reliability for enterprise and public sector customers - Ship agentic AI applications and the tooling that makes them observable, testable, and safe to deploy - Ship tools that accelerate the growth of new qualified contributors on Scale's platform - Build fraud-detection systems that remove bad actors and keep Scale's contributor base safe and trusted - Use models to estimate the quality of tasks and contributors, and guarantee quality on requests at large scale - Devise advanced matching algorithms that pair contributors to customers for optimal turnaround and accuracy - Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ contributors completing billions of complex tasks - Develop new AI infrastructure products to visualize, query, and explore Scale data Requirements - A graduation date in Fall 2027 or Spring 2028 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics) - Available for a Summer 2027 internship (May/June start dates) in San Francisco - Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to customers, figuring out 'what' to build and then iterating - Previous Computer Science/Software Engineering internship experience - Track record of shipping high-quality products and features - Experience building systems that process large volumes of data - Experience with Python, Typescript, React, and/or MongoDB Nice to Have - Hands-on experience with LLMs, evaluations, or agentic systems — whether from coursework, research, or personal projects - Open source contributions or a portfolio of shipped side projects How We Work Our credos shape how we make decisions and work as a team: - Earn Customer Love — trust is earned with every interaction, every delivery, and every problem we solve - Team Flow — ideas, energy, and support move freely across teams; optimize for the whole - Quality is Our Cheat Code — the systems that deliver quality consistently are a structural advantage - Find the 20% — find the inputs that drive the outcomes and execute them completely - Write the Market — our research puts us at the frontier, and we bring our partners there first - Three Moves Ahead — consider the consequences of consequences, and plan accordingly PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Every industry is moving AI to the center of operations, but there is still no clear blueprint for getting from pilot to profit. That is the problem our engineers work on. As a New Grad Software Engineer, you will own meaningful, customer-facing work from day one — shipping products, talking directly to the customers who use them, and iterating fast. Example Projects - Build reinforcement learning and post-training data pipelines that power frontier model development - Develop evaluation infrastructure that measures model reliability for enterprise and public sector customers - Ship agentic AI applications and the tooling that makes them observable, testable, and safe to deploy - Ship tools that accelerate the growth of new qualified contributors on Scale's platform - Build fraud-detection systems that remove bad actors and keep Scale's contributor base safe and trusted - Use models to estimate the quality of tasks and contributors, and guarantee quality on requests at large scale - Devise advanced matching algorithms that pair contributors to customers for optimal turnaround and accuracy - Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ contributors completing billions of complex tasks - Develop new AI infrastructure products to visualize, query, and explore Scale data - Build a customer service RAG application that handles thousands of questions a day - Integrate a cutting-edge ML model that predicts churn into a customer's retention system Requirements - A graduation date in Fall 2026 or Spring 2027 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics) - Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to customers, figuring out 'what' to build and then iterating - Previous Product/Software Engineering internship experience - Track record of shipping high-quality products and features at scale - Experience building systems that process large volumes of data - Experience with Python, Typescript, React, and/or MongoDB Nice to Have - Hands-on experience with LLMs, evaluations, or agentic systems — whether from internships, research, or personal projects - Open source contributions or a portfolio of shipped side projects How We Work Our credos shape how we make decisions and work as a team: - Earn Customer Love — trust is earned with every interaction, every delivery, and every problem we solve - Team Flow — ideas, energy, and support move freely across teams; optimize for the whole - Quality is Our Cheat Code — the systems that deliver quality consistently are a structural advantage - Find the 20% — find the inputs that drive the outcomes and execute them completely - Write the Market — our research puts us at the frontier, and we bring our partners there first - Three Moves Ahead — consider the consequences of consequences, and plan accordingly Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of San Francisco is: $124,000 - $162,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

In this role, you’ll coordinate and manage technical payroll accounting activities across Scale’s global footprint. You’ll manage the preparation, maintenance, processing, analysis and auditing of manual and automated payroll data, information, records and reports – ensuring accuracy and completeness of payroll transactions. You’ll also lead, train and provide guidance to internal and external partners, and serve as a clear point of contact for resolving payroll related inquiries. English fluency is required. You will: - Support End-to-End Payroll Processing: Execute multi-frequency domestic and international payroll cycles, accurately managing all compensation inputs, deductions, and employee lifecycle changes. - Compliance & Audits: Perform rigorous pre- and post-payroll audits, investigate and resolve discrepancies, and ensure strict adherence to all multi-jurisdictional tax, labor, and company regulations. - Accounting & Reporting: Support payroll accounting functions, including month-end close, reconciliations, journal entries, management reporting, and year-end tax activities (e.g., W-2s). - Employee Support & Vendor Management: Operate the payroll help desk as the primary resource for employee inquiries and coordinate daily with external vendors, PEO/EOR partners, and tax agencies. - Systems & Process Optimization: Leverage HRIS and modern technologies (including AI tools) to maintain confidential records, adapt to legislative changes, and continuously improve workflow efficiency and accuracy. Ideally you'd have: - Experience executing multi-frequency domestic and international payroll cycles, managing compensation inputs, deductions, and employee lifecycle changes. - Perform pre- and post-payroll audits, resolve discrepancies, and ensure compliance with multi-jurisdictional tax, labor, and company regulations. - Manage payroll accounting: month-end close, reconciliations, journal entries, management reporting, and year-end tax activities (e.g., W-2s). - Use HRIS and AI-enabled tools to maintain confidential records, adapt to legislative changes, and improve workflow efficiency. - Strong problem-solving and technical aptitude, including ability to learn AI-enabled tools and new systems. - 2+ years processing international payroll, with working knowledge of PEO/EOR systems. Nice to haves: - Skilled in preparing, verifying, and auditing payroll records with strong attention to detail and compliance in using tools including ADP. - Understanding of domestic and international payroll law, retirement systems (401(k), IRC 125, HSA), tax withholding, and benefits. - Bring genuine enthusiasm for supporting global employee questions and resolving issues. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

About the Role This role will serve as a key execution partner to the GenAI Customer Compliance Manager, with a strong focus on supporting GenAI delivery workflows through embedded compliance operations and Legal coordination. The GenAI Compliance Operations & Programs Associate will sit at the intersection of Delivery, Ops, and Legal, ensuring that compliance considerations are integrated early in the project lifecycle, risks are clearly identified and prioritized, and Legal is engaged with the right context at the right time. By owning execution, coordination, and delivery integration, this role frees the Customer Compliance Manager to focus on strategy, governance, and risk frameworks. The role requires strong operational ownership, comfort with ambiguity, and the ability to drive alignment across fast-moving, cross-functional teams. Key Responsibilities Compliance Review Operations & Legal Coordination - Manage end-to-end compliance review workflows for GenAI projects — from early-stage intake through review, approval, launch, and verification — in close partnership with Engagement Management and Delivery. - Evaluate incoming work for compliance risk signals (e.g., data sensitivity, copyright exposure, privacy concerns); triage and prioritize requests for Legal based on risk, scope, and delivery timelines. - Partner with Engagement Management to translate and execute risk mitigation at both the project and customer level, gather operational input to develop and prioritize systematic compliance controls, and train/educate Ops stakeholders on common or emerging compliance risks. - Ensure Legal receives clear, structured, and actionable context; coordinate reviewers across Legal and internal teams to support SLA adherence. - Identify workflow friction points and contribute to improving processes, templates, and prioritization frameworks. - Maintain dashboards to track throughput, bottlenecks, SLAs, and risk trends. Risk Mitigation Solutions & Monitoring - Support Engineering and Ops in developing and implementing scalable risk mitigation solutions. - Operationalize solutions into repeatable workflows aligned with delivery processes. - Monitor adoption and effectiveness; escalate gaps or risks as needed. Customer Audit Support - Support audit readiness activities including evidence collection and documentation under the direction of the Customer Compliance Manager. - Assist in preparing audit packages and tracking progress toward readiness milestones. - Support audit remediation efforts and follow-through. Access Control & Operational Hygiene - Manage day-to-day access governance across systems and sensitive datasets (including Redash and internal/external Google Groups). - Execute quarterly access reviews and cleanup processes in alignment with policies set by the Customer Compliance Manager. - Enforce and standardize permissions and operational controls; flag anomalies for escalation. Qualifications Required - 1-3 years of experience in operations, program management, compliance, or GenAI/technical delivery environments. - Must be local to Mexico with advanced English speaking skills - Bachelor’s degree required; preferred fields include Business Administration, Operations Management, Information Systems, or Public Policy. - Direct experience supporting or operating within GenAI/AI delivery workflows strongly preferred. - Working knowledge of basic legal/compliance concepts (privacy, copyright, data handling). - Proven ability to triage, prioritize, and manage high-volume workflows. - Strong cross-functional collaboration skills, especially with Legal, Ops, Product, and Engineering. - Experience with data tools and dashboards (e.g., Redash or similar). - Basic understanding of SQL (e.g., able to build and run basic queries) - High attention to detail and strong operational follow-through. Nice to Have - Experience in GenAI, Trust & Safety, or data compliance environments. - Familiarity with legal intake processes or working directly with Legal teams. - Experience designing operational workflows, intake systems, or triage frameworks. - Exposure to risk assessment or prioritization models. - Background in Law, Data Science, or Computer Science. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

About Scale AI Scale AI accelerates the development and deployment of AI, from the high-quality training data and evaluation services that power the world's leading AI labs, to full-stack AI applications built for Enterprise, U.S. Public Sector, and Global Public Sector customers. We don't just hand over a model; we find the highest-value use case, build the system around it, and own the outcome, whether that's an agent supporting mission planning for the Department of Defense, a sovereign AI platform for a government ministry, or an agentic workflow inside a Fortune 500 enterprise. Our platform powers breakthroughs at the frontier of AI, and great design is how we make that power accessible, intuitive, and trusted by the teams who rely on it every day. The Role We're looking for a product design leader to lead and grow our enterprise team. What You'll Do - Set the direction for Enterprise design. Define what exceptional design looks like for Scale's Applications customers making high-stakes decisions and for the expert contributors powering the platform. Translate the broader design vision into a clear, motivating direction for your team. - Build and lead the team. Own hiring, development, and day-to-day leadership for a growing team of designers. Create the culture and operating rhythms that let them do their best work. - Drive design execution across the Enterprise product. Partner with your Product and Engineering counterparts to set priorities and ensure design is involved from problem scoping through delivery, not brought in at the end. - Raise the craft bar. Uphold design principles and quality standards on your team. Push designers beyond digitizing workflows toward genuinely rethinking how people work with AI. Hold the line on quality without slowing delivery. - Contribute to the design system. Help shape and adopt Scale's shared design system, championing consistent component use and contributing patterns back so a distributed team can build coherently at speed. - Ground the team in user needs. Build the research habits and cadences that keep your team's decisions rooted in what enterprise customers and users actually need, and advocate for that discipline with your Product and Engineering partners. - Shape Scale's approach to human-agent interaction. Scale's core value is human-in-the-loop AI, and the interface is where trust is built or lost. Help define the interaction patterns for how enterprise users work alongside AI agents, and contribute to Scale's growing point of view on this emerging space. Who you are - 3+ years managing product design teams - Proven track record of simplifying data-dense, power-user workflows into elegant solutions for B2B and beyond - Deeply customer-centric, with a track record of grounding design decisions in real user needs and business impact - Fluent in how AI is changing design practice and tooling; building AI-native workflows for your team - Experience designing for agentic platforms, and excited to shape the future of interaction patterns for AI and human-in-the-loop systems - Balance speed and quality; you know how to prioritize ruthlessly and get the team shipping without dropping the craft bar - Excellent communicator. You can present to a leaders and a front-line PM and make both feel heard PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Scale GP (Scale Generative AI Platform) is Scale’s enterprise AI platform, providing APIs and infrastructure for knowledge retrieval, inference, evaluation, agents, and more. We deploy SGP across AWS, Azure, and GCP, often directly into customer-controlled cloud environments across highly regulated industries including healthcare, financial services, telecom, and retail. As SGP has grown in scale and complexity, networking has become a critical architectural discipline of its own. Today, teams routinely encounter the same hard problems — VPC design, routing, ingress and egress, private connectivity, service exposure, address-space constraints, firewall policies, and cross-environment communication — but solve them differently depending on the deployment. We’re looking for a Senior Network Engineer to establish the architectural standards for how SGP connects to customer infrastructure and how traffic moves throughout the platform. You’ll own network architecture across a large and rapidly growing fleet of Kubernetes environments spanning AWS, Azure, and GCP, with many deployed inside customer-owned cloud accounts and networks that we do not control. The constraints vary significantly: a commercial deployment behind a customer-managed API gateway; a hub-and-spoke enterprise network where the customer assigns our address space; a GovCloud environment protected by default-deny firewall policies; or a fully air-gapped deployment with no external connectivity. The goal is not to create a bespoke network architecture for every customer. Your job is to define one clear, secure, and supportable networking model for SGP — and establish the small set of defensible variations required to operate across different clouds, customer architectures, and compliance regimes. What You'll Do - Own network architecture for the SGP platform: define and enforce network standards across cloud environments (AWS, Azure, GCP) and customer deployments - Design and review VPC architectures, peering, DNS, load balancing, and CDN/edge configurations (e.g., Cloudflare), grounding root-cause and tradeoff discussions in data and domain depth - Bring strong technical judgment to VPN, routing, access, ingress/egress, and traffic-flow decisions - Review proposed networking solutions from platform, product, and forward-deployed teams; evaluate what should and should not be introduced into the platform boundary - Define the standard connectivity pattern between Scale's control plane and customer data planes (VPC peering, PrivateLink/Private Service Connect, site-to-site VPN, reverse tunnels) — and converge today's per-customer designs onto it - Own the customer-boundary delivery blueprint: how code, images, and traffic cross into a customer tenant — CI/CD mirroring across org boundaries (including customer-side Azure DevOps), artifact scan gates, private registries, ingress — so new engagements configure a pattern instead of designing one - Own engineer access into customer and internal environments (Tailscale/Teleport/bastion-class decisions), replacing per-engineer VPN sprawl and hand-rolled tunnels with something auditable - Own the Kubernetes traffic layer: Istio/Envoy mesh and ingress, the per-cloud CNI matrix, and a portable NetworkPolicy contract that constrains egress for thousands of short-lived agent-sandbox pods running untrusted code - Reduce rework by preventing one-off implementations from becoming long-term platform burden - Partner with security engineering on network segmentation, zero-trust access, and compliance requirements in regulated customer environments - Debug complex connectivity, latency, and traffic-flow issues across hybrid and multi-cloud deployments - Document network architecture, standards, and runbooks so adjacent teams can operate confidently What We're Looking For - 5+ years of network engineering experience, including designing and operating production networks in cloud environments - Deep expertise in cloud networking on at least two of AWS, Azure, and GCP: VPC design, peering, Transit Gateway/hub-and-spoke topologies, private connectivity (PrivateLink, Private Service Connect), and DNS - Kubernetes networking depth — CNI, ingress, NetworkPolicy, service mesh (Istio/Envoy) — this is where most of our real incidents live - Strong fundamentals in TCP/IP, BGP, routing, firewalls, VPN (site-to-site and client), and TLS - Experience with edge/CDN and traffic-management platforms such as Cloudflare - Has defined a network standard or reference architecture that other teams adopted, and enforced it through design review - Comfortable as the sole domain owner: able to collect requirements across five-plus live environments you didn't design, then converge them without breaking any - Has made build-vs-adopt networking calls with vendor-support or contractual consequences in a customer's cloud - Infrastructure-as-code proficiency (Terraform preferred) - Familiarity with network security and compliance requirements in regulated industries (healthcare, finance, government), including environments across multiple compliance regimes (commercial, FedRAMP/GovCloud, air-gapped), is a plus - Excellent communication skills — able to explain networking tradeoffs to both technical and non-technical audiences and influence decisions without direct authority Why This Role Matters Without a dedicated owner, adjacent teams are covering a domain that needs specialized expertise. You will be the point of accountability for network architecture as SGP grows — raising the quality of every deployment, unblocking confident decisions, and keeping the platform boundary clean as we scale. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $1 - $1 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will support the design and development of shared platforms used across Scale. This includes designing our foundational data platforms and lifecycle, architecting Scale’s core cloud infrastructure and orchestration stack, and redefining how engineers develop, build, test, and deploy software at Scale. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: - Drive the design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. - Collaborating with cross-functional teams to define, design, and deliver new features. - Proactively identifying opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades. - Presenting technical information to teams and stakeholders, providing guidance and insight on development processes and technologies. Ideally you’d have: - 3+ years of full-time engineering experience, post-graduation with specialities in back-end systems. - Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred). - Show a track record of independent ownership of successful engineering projects. - Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders. - Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc. - Experience with orchestration platforms, such as Temporal and AWS Step Functions. - Experience with NoSQL document databases (MongoDB) and structured databases (Postgres). - Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI). Nice to haves: - Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt). - Experience with authentication/authorization systems (Zanzibar, Authz, etc.) - Experience scaling products at hyper-growth startups. - Excitement to work with AI technologies. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $216,000 - $270,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Hands-on staff-level AI infrastructure role building the foundation for large-scale RL environments, sandboxed execution, orchestration, verification, and agent training systems.

Infrastructure Software Engineer, Apps Platform, London As an Infrastructure Engineer on the Apps Platform Infrastructure team, you'll help build and evolve our platform’s deployment and observability layers across multiple cloud providers and on-premises, for both internal and customer-managed environments. This is a role for someone who cares about building cloud-agnostic infrastructure and deployment pipelines. You'll partner closely with internal teams to understand how they use and deploy the platform, debug their issues, and shape a roadmap that balances immediate needs with long-term architecture. You will: - Expand the deployment footprint of our platform to cover both on-premise, all major cloud platforms and beyond - Ensure fast, secure, and reproducible deployments across all supported CSPs and on-prem - Expand the observability of the platform so that forward deployed infrastructure teams can easily and efficiently operate customer deployments - Partner closely with internal teams deploying the platform to understand their needs, debug issues, and build tooling that serves their use cases - Respond to incidents and production issues with urgency, conducting root cause analysis and implementing preventive fixes - Help develop and maintain a product roadmap for deployment and observability - Lead architecture reviews and own projects end-to-end, from design through deployment, in fast-paced cross-functional settings Ideally you'd have: - 5+ years of experience building and deploying enterprise and public sector solutions across AWS, Azure, GCP, OCI and on-premises - Deep expertise in infrastructure design, networking engineering, VPNs, load balancers, and firewalls - Deep proficiency with IaC, containerisation and orchestration tools and technologies (Kubernetes, Terraform, Docker) - Comprehensive understanding of CI/CD pipelines and software delivery principles using GitHub Actions or CircleCI. - Experience with GitOps-style deployments and a track record of ensuring consistent, repeatable deployments - Strong debugging skills and the ability to navigate performance/security tradeoffs in production systems - Comfort with ambiguity, and the ability to context-switch between reactive incident work and proactive product development Nice to haves: - Experience as a founder or early engineer at an infrastructure-focused startup, owning a product end-to-end - Experience running secure workloads in multi-tenant or untrusted environments (e.g., FaaS, CI sandboxes, remote notebooks) - Open-source contributions to systems or developer-tools projects - History of on-call/incident response for production systems PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Scale's Data Analytics team is centralized, embedding data analysts across delivery, operations, finance, and engineering to turn ambiguous problems into clear, actionable insights. As a Senior Data Analyst for Public Sector, you'll build analytics solutions from the ground up - partnering closely with cross-functional teams and leadership to solve complex problems, design dashboards, build tables, and perform ad-hoc analyses that shape how Scale runs and measures its Public Sector business. We're looking for someone who's relentlessly curious, comfortable owning ambiguity, and skilled at turning cross-functional relationships into sustainable, scalable analytics solutions. Active Secret U.S. security clearance required You will: - Own data quality for your domain - document models, troubleshoot discrepancies, and establish centralized metric definitions - Collaborate with cross-functional teams to identify, define, and track key metrics to be used in monitoring, planning, and one-off decision-making - Develop repeatable, scalable analytical solutions, such as dashboards, data models, or standard processes - Partner with Ops to identify and track efficiency initiatives, measuring their impact on cost, quality, and delivery outcomes over time - Partner with Finance to analyze cost drivers across programs and help inform pricing strategy - Be willing to deepdive when needed and dig into the messy details to get to the root of a problem - Initiate and drive complex projects to completion with minimal guidance Ideally you'd have: - 6+ years of relevant work experience - Advanced SQL skills and experience building with data modeling tools (e.g. DBT) - Experience building dashboards and reports with BI tools (e.g. Tableau, Metabase) - Strong business acumen - comfortable partnering directly with cross-functional stakeholders - Excellent communication skills - able to translate technical analysis into clear, actionable narratives - Comfort with ambiguity in a fast-moving environment and able to make sound trade-offs - Active Secret U.S. security clearance is required; Top Secret U.S. clearance is preferred Nice to haves: - Familiarity working within air-gapped/federal environments and navigating their constraints - Prior experience supporting a Business Operations function, with exposure to process analytics or process mining (e.g. workflow optimization) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Washington DC is: $182,400 - $228,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

About Scale AI At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. Scale Frontier Data is the organization behind the training and evaluation data that frontier labs depend on. We build the systems, tooling, and expert workflows that turn hard human expertise into signals that models can learn from, across reasoning, coding, agentic tool use, and domain expertise. Reinforcement learning environments are now the center of gravity for that work: the difference between a model that demos well and a model that reliably completes long-horizon work is almost always the quality of the environments and reward signals it was trained against. Responsibilities As a Staff Software Engineer, RL Environments, you'll own the technical foundation for how Scale builds, runs, verifies, and delivers RL environments at scale. An RL environment is a real piece of software: a containerized world with real dependencies, real state, real tools, and a grader that has to be correct even when the agent is creative about breaking it. Building one is a full-stack engineering problem. Building thousands of them reproducibly, cheaply, with trustworthy reward signals and throughput measured in millions of rollouts is a systems problem that very few people have solved. You'll work on both. You'll design the platform: sandboxed execution, environment packaging and versioning, rollout orchestration, trajectory capture, verifier frameworks, and the authoring surfaces that let engineers and domain experts produce environments without reinventing infrastructure each time. And you'll go deep on the environments themselves by instrumenting real applications, designing task suites that expose specific capability gaps, and building graders that hold up under adversarial optimization. This is a hands-on engineering role. You'll set technical direction across multiple teams, and you'll still be the person who writes the hard part. Required Qualifications - 8+ years of software engineering experience with strong fundamentals in distributed systems, system design, data structures, and algorithms. - Strong Python skills and a track record of shipping production software; comfort in at least one other part of the stack (TypeScript/React, Go, Rust, or similar). - Deep experience with containerization and sandboxed execution, including Docker, VMs, gVisor/Firecracker, Kubernetes, or equivalent. - Experience building or operating high-throughput backend systems: orchestration, job scheduling, queuing, and large-scale data pipelines. - Hands-on experience building with LLMs including agent loops, tool calling, MCP, or eval harnesses, and enough intuition about model behavior to reason about what a training signal actually teaches. - Demonstrated ability to own ambiguous, undefined problems end to end and drive them to a shipped system. - Excellent written and verbal communication; ability to align engineers, researchers, and non-engineering partners on a technical direction. Preferred Qualifications RL & Post-Training - Direct experience building RL environments, agentic benchmarks, or eval harnesses (SWE-bench-style task suites, terminal or browser environments, tool-use benchmarks, or in-house equivalents). - Familiarity with post-training methods: RLHF, RLAIF, RLVR, GRPO/PPO-family algorithms, rejection sampling, reward modeling, and the practical failure modes of each. - Experience designing verifiable reward signals, and firsthand experience with reward hacking and how to defend against it. - Experience with RL training or serving stacks (verl, TRL, Ray, vLLM, SGLang, or similar). Systems & Infrastructure - Experience with high-scale sandbox or code-execution infrastructure, remote development environments, or CI systems. - Experience with cloud-native infrastructure across AWS/GCP/Azure, Infrastructure as Code, and CI/CD. - Strong observability instincts: tracing, structured logging, and metrics for systems whose failure modes are statistical rather than binary. - Experience building internal tools that non-engineers rely on daily, especially data-dense review and annotation interfaces. Ways of Working - Experience in a research-adjacent engineering role, translating research goals into production systems. - Experience working directly with sophisticated external technical customers. - Prior technical leadership at staff level or above in a fast-moving, ambiguous environment. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $252,000 - $315,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Data & Infrastructure Associate Role Description The Data & Infrastructure Contractor supports analytics, reporting, KPI tracking, and data infrastructure initiatives across Pay Operations, Contractor Growth, CR & Training, and Robotics teams. This role combines hands-on data analysis with the development and maintenance of reporting tools, dashboards, and structured datasets that enable operational visibility and informed decision-making. The position works closely with Contractor Leads to ensure data accuracy, consistency, and timely reporting. Responsibilities 1. Pay Analytics Support (Contractor Ops) - Provide reliable and structured data support to the Pay team. - Maintain and improve pay-related datasets to ensure accuracy and consistency. - Build and maintain recurring reports and dashboards to support contractor pay tracking. - Assist in identifying discrepancies and supporting audit processes. 2. CR & Training Data Support - Support the definition and tracking of core KPIs for CR and Training contractor teams. - Build and maintain recurring performance reports. - Ensure KPI definitions are documented and consistently applied. - Assist teams with ad-hoc data requests and analysis. 3. Growth Analytics Support (Contractor Ops) - Maintain and optimize queries used for candidate sourcing and prioritization. - Support analysis to improve candidate throughput and quality. - Assist in tracking performance metrics related to growth initiatives. - Contribute to experimentation analysis and reporting. 4. Robotics & Workforce KPI Tracking - Support the implementation and tracking of operational KPIs. - Maintain reporting structures to monitor workforce performance. - Collaborate with stakeholders to ensure consistent measurement practices. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

About the team: Scale is growing rapidly, and joining the Global Public Sector team is an opportunity to work on one of the most rapidly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work outside of the United States. There are three core types of work involved: - Building custom AI applications for government - Providing high-quality training data for research institutions building LLMs from scratch - Partnerships, upskilling, and advisory About the role: As the Engagement Manager, you will be responsible for establishing deep customer and prospect relationships, proactively identifying opportunities where Scale can build custom AI applications to improve lives for citizens and residents, overseeing the execution to ensure timelines are met and/or communicated effectively, interfacing with premier research institutions to discuss how Scale can best support them, and partnering with organizations who are looking to train and educate people on how to use AI, AI safety, and more. You and your team will work closely with the business development and go-to-market team, the product and engineering execution teams, and various customers and prospects to ensure success. The ideal candidate has a nose for value and opportunity, is highly personable and can build relationships with all types of stakeholders, is an excellent communicator, is highly organized, and has a demonstrated track record of high-achievement. They are naturally empathetic and excel at building long-term relationships through diligent problem-solving and thoughtful, strategic discussions. The blend of customer engagement, operations, and business development to drive our most important outcomes makes this a unique and exciting role at the heart of one of Scale's most exciting growth businesses. You will: - Drive the process of identifying high-value use cases for custom LLMs that Scale can build within government entities - Partner with clients to understand their most pressing problems and brainstorm how Scale can best help - Manage the long-term health of clients by identifying and preempting areas of risk or concern - Be the main point-of-contact for clients if they have any questions, issues, or concerns and triage accordingly - Collaborate with the operational and engineering execution teams to track delivery and timelines - Review, track and improve operational performances and be obsessed with continuous improvement - Brainstorm with premier research institutions building Arabic LLMs how Scale can best support and/or ideas they should consider testing Ideally you'd have: - 5-7+ years of total work experience, with experience in consulting or as a technical program management role in industry - Written and spoken fluency in English and Arabic - Experience at a consulting firm or a leading tech company - A proven track record in B2B/B2G client facing roles and expanding client relationships - Ability to understand APIs and the ML training lifecycle and build great relationships with technical customers - Great cross-functional experience and collaborative ability - Excellent verbal and written communications - A track record of structured, analytics-driven problem solving - A history of diligence and organization across multiple work streams - An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results - Analytical, planning, and process improvement capability PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

We are seeking a Head of Solutions Engineering to lead and grow our technical pre-sales function across the EMEA region. You’ll define how we bring our AI services to customers - from the first discovery conversation to pilot, deployment, and production success. As the regional leader, you’ll hire, mentor, and scale a team of world-class Solutions Engineers & Solution Architects who partner closely with Sales, Product, and Engineering. You’ll set the standard for how we demonstrate technical value, architect customer solutions, and operationalize go-to-market excellence across diverse markets in EMEA. This is a strategic, hands-on leadership role - part player-coach, part builder, and part visionary. You’ll balance tactical deal support with the long-term mission of building a scalable, high-impact GTM organization. What You’ll Do - Partner with Sales and regional leadership to drive technical strategy, qualification, and execution for complex deals. - Define and operationalize repeatable pre-sales processes, tools, and playbooks to accelerate customer success. - Build and lead a world-class Solutions Engineering organization across EMEA — recruiting, mentoring, and enabling a distributed team. - Lead the technical discovery, demo, and proof-of-concept lifecycle, ensuring pilots translate into production wins. - Represent Scale’s platform and technology capabilities to executives, technical stakeholders, and partners. - Collaborate with Product and Engineering teams to bring customer insights back into roadmap discussions and feature design. - Develop regional enablement programs to ensure consistent technical excellence across the team. - Drive key metrics: pilot-to-production conversion, team utilization, revenue influence, and customer adoption. - Champion a culture of curiosity, innovation, and accountability, fostering deep AI understanding and go-to-market discipline. - Act as a thought leader in the region — representing Scale at industry events, executive briefings, and ecosystem forums. What We’re Looking For - 10+ years of experience in Solutions Engineering, Sales Engineering, or Technical Consulting, with 4+ years in a leadership capacity. - Proven experience building and scaling technical pre-sales or customer engineering teams across multiple markets. - Strong foundation in cloud architecture, enterprise infrastructure, and API-driven products - Hands-on technical ability — comfortable both building prototypes and guiding your team - Familiarity with AI/ML technologies, data platforms, and modern model deployment practices - Demonstrated executive presence and credibility with both technical and business leaders. - Excellent cross-functional collaboration skills, aligning Sales, Product, and Services toward shared outcomes. - Commercial and strategic mindset — able to connect technical work to business value and regional go-to-market goals. - Experience navigating diverse, fast-evolving markets and driving impact in ambiguous, high-growth environments. - Willingness to travel frequently across EMEA to support customers and team members. Nice to Have - Background in AI infrastructure, ML operations, or applied data science. - Experience working across enterprise, government, and startup ecosystems. - Strong understanding of regional AI, data, and privacy regulations. - Prior experience launching new markets or scaling teams during rapid growth. - Track record of developing enablement content, demos, and GTM playbooks for technical teams. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Scale is building AI for the world’s most important decisions. From the front lines of homeland security to the core of global enterprise, we provide the data engine and agentic infrastructure that powers the next generation of American and allied interests. As a Deployment Strategist supporting DHS and DOJ, you will be responsible for bridging the gap between cutting-edge AI research and mission-critical production. You will lead the charge in deploying Agentic AI, autonomous reasoning systems, into the heart of homeland security and law enforcement workflows, ensuring that some of the nation’s most consequential decisions are supported by the world’s best technology. Deployment Strategist (DHS/DOJ) We are looking for a powerhouse executive account leader who understands that winning at DHS and DOJ isn’t about a successful 6-month pilot; it’s about becoming an enduring, funded capability inside a component’s operational baseline. You will focus on landing and transitioning high-stakes prototypes into full-scale enterprise deployments, navigating the complexities of the Valley of Death by securing executive sponsorship and programmed funding. Responsibilities: This is an individual contributor role with heavy leadership expectations. You are the "CEO of the Account," responsible for the following: - Full-Spectrum Capture & Quota Ownership: Carry and exceed a multi-million dollar annual revenue quota. You are responsible for the entire lifecycle: from identifying the top of funnel opportunity and shaping requirements to the final contract award and revenue recognition. - Tactical Execution: You don’t just delegate; you execute. You will personally draft high-impact white papers, lead the development of complex proposals, architect deal structures, and navigate the nuances of federal civilian contracting, including OTAs, GSA schedules, and component-specific IDIQ vehicles. - Operational Transition: Once the deal is signed, your job isn’t over. You will continue to lead the account, ensuring that the delivery team (Engagement Managers, Technical PMs, Engineers, and Product) enables mission success. You are the primary point of contact for the customer, ensuring the pilot doesn’t just work, but scales. - Renewal, Expansion, & Growth: Own the long-term account strategy. You are responsible for identifying the next use case, securing the follow-on funding, and driving the 10x growth that turns a single component deployment into a department-wide enterprise standard. - Direct Agentic Solutioning: Work in the weeds with technical teams and end-users to co-design Agentic AI workflows. You must be able to translate a customer’s vision into a specific technical requirement that our engineers can build against. - SI & Prime Orchestration: In partnership with Scale’s Partner Managers, you will actively manage and negotiate with Tier 1 Systems Integrators and federal primes to ensure Scale is the agentic AI engine of their larger programs. You will be the lead negotiator for sub-contracting and teaming agreements. Requirements: - Experience: 10+ years of experience in complex enterprise IT sales or business development, specifically within DHS, DOJ, or the broader federal law enforcement and homeland security market. - Proven Track Record: You have successfully closed and implemented multi-year deals exceeding $25M. You know how to get a line item in the budget. - Domain Expertise: Deep understanding of DHS and DOJ modernization priorities, specifically in AI/ML, computer vision, biometrics, screening and vetting, investigative analytics, or case management. - The Valley of Death Navigator: You have a demonstrated ability to transition technology from "cool demo" to "deployed capability" within a major component program office. - Strategic Network: Existing high-level relationships across DHS and DOJ components (CBP, ICE, USCIS, TSA, CISA, FBI, DEA, ATF, USMS) and their CIO and enterprise IT organizations, as well as a Rolodex of contacts at the major federal integrators. - Clearance: Active Secret clearance is strongly preferred; TS/SCI and existing component suitability are a plus. - Education: BS/BA required; technical degree or MBA preferred. - Geography: Based in the National Capital Region, with the ability to work out of Scale’s D.C. office 2-3 days a week. - Travel: Ability to travel 20-30% of the time. Who you are: - Mission-Driven: You believe that whoever wins in AI wins the next century, and you want that to be the United States and its allies. - Relentless: You thrive in the long-game of defense procurement. You aren't discouraged by bureaucracy; you see it as a puzzle to be solved. - Adaptive: You can operate in the high-velocity environment of a Series E startup while maintaining the polish required for the Pentagon. - The Closer-Operator: You have the executive presence to brief a PEO. - Radically Accountable: You don't wait for a marketing lead or a BD specialist to hand you a deal. You build your own funnel, navigate the "No's," and find the creative path to "Yes." - Technically Credible: You aren't a software engineer, but you can explain the difference between RAG and Agentic reasoning to a skeptical technical evaluator. Sales Commission: This role is eligible to earn commissions. The base salary range for this full-time position in the location of San Francisco, New York, or Seattle is [ ]. Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Washington DC is: $176,800 - $221,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling) and evaluation. This role is on the evaluation pod within the GenAI Research Organization and will focus on building benchmarks and diagnosing model failure modes in both text and multimodal modalities. In this role, you will develop rigorous evaluations and diagnostic methods that reveal where frontier models fail and why.

The Role We are seeking a highly organized, proactive, and collaborative Program Manager to join our Sales Enablement team, embedded in and dedicated to the Public Sector business unit. This role sits at the intersection of GTM strategy and learning design. You will own the end-to-end enablement experience for Public Sector sales reps, from the moment they join Scale to every stage of their ongoing development. The Public Sector GTM team operates as a distinct business with its own sales motion, compliance environment, and buyer context. This role requires someone who can move fluidly between that world and the broader Sales Enablement org; building infrastructure, translating content across BUs, and driving rep readiness in an environment where the stakes are high and the deals are complex. This role would also take ownership of Public Sector BU onboarding for any member joining the team. You will: Build and Own PS Onboarding - Design and launch a structured, role-based onboarding program for Public Sector new hires across the Deployment Strategist and Solution Engineering tracks. - Define "fully ramped" success criteria by role, and communicate them clearly to new hires and their managers. - Utilize the Sales Enablement Platform to deploy learning paths and track completion and readiness metrics. - Partner with the People team and BU leadership to take on BU onboarding for PS new hires after company-wide orientation, ensuring a seamless handoff and a cohesive experience end-to-end. Drive Ongoing Rep Development (Everboarding) - Launch foundational sales skills training for the Public Sector team. This would include proposal writing, discovery methodology, deal qualification, and capture process. - Develop and maintain playbooks by motion for Public Sector reps, and establish a recurring venue for platform capability updates to keep reps current on the roadmap. Own the GTM Knowledge Base - Stand up and maintain the Public Sector GTM knowledge base, hosting sales collateral, templates, pitch decks, and training materials. Stakeholder Collaboration & Program Management - Serve as the day-to-day enablement partner to PS GTM leadership, maintaining a strong pulse on what reps need and how the business is evolving. - Collaborate with the Instructional Designer to ensure onboarding and everboarding content is engaging, role-appropriate, and effectively delivered across modalities (vILT, on-demand, async). - Manage multiple concurrent programs and stay tightly coordinated with the broader Sales Enablement team; acting as the bridge between PS and other BUs, surfacing Enterprise content for Public Sector, and bringing Public Sector learnings back to the org. - Report on roadmap progress and program effectiveness to Public Sector and Enablement leadership on an ongoing basis. Ideally you'll have: - 4+ years of professional experience in a Sales Enablement, GTM Enablement, or closely related role. - 2+ years of program management experience , with a proven track record of managing end-to-end program lifecycles from strategy through execution. - Familiarity with the federal or public sector sales environment , including an understanding of the compliance landscape, procurement cycles, and the buyer context that distinguishes PS deals from commercial ones. - Proven success working collaboratively with Sales Leaders, Subject Matter Experts, and cross-functional stakeholders, including in environments where reps are skeptical of enablement overhead. - Demonstrated ability to manage multiple, concurrent high-priority programs while staying organized and meeting deadlines in a fast-moving environment. - Proficiency in the latest AI tools and systems , with a demonstrated ability to apply AI to automate processes, personalize learning, or enhance enablement impact, including for content creation, communications, and transcript-based workflows. - Excellent written and verbal communication skills , with a focus on delivering clear, actionable content and concise updates. Nice to haves: - Sales Methodology: Experience with or exposure to B2B sales methodologies (e.g., MEDDICC, Challenger) and/or government-specific frameworks like Shipley for proposal development. - Tool Proficiency: Experience with Sales Enablement Platforms (LMS/CMS), Notion, or similar systems for program deployment and content management. - Industry Experience: Background in AI, data, or technical services; or experience enabling reps who sell into technical buyers. - Instructional Design Familiarity: Comfort working alongside an Instructional Designer and contributing to e-learning module structure or curriculum sequencing. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Washington DC is: $110,000 - $140,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Scale's public sector business is providing the best of American commercial technology and innovation to protect the homeland and meet the moment. As a member of our public sector delivery team, you will own relationships critical to the portfolio of clients charged with a layered defense for the United States. You will be a catalyst, willing to go deep, get technical, and drive change. You will manage customer relationships and partners as well as partner with our engineering team to solve Scale’s hardest problems. All of this serves an ultimate goal of delivering cutting-edge agentic AI to orchestrate portfolio management for defense of the homeland. You will: - Own technical execution for one or more national security mission areas from initial requirement through deployment and formal evaluation - Translate operational workflows into detailed Product Requirements Documents (PRDs), Engineering Requirements Documents (ERDs), and executable engineering work - Work alongside engineers during cycle planning to define scope, sequencing, architecture constraints, dependencies, and milestones - Maintain end-to-end requirements traceability from customer objective to software build, test event, and formal deliverable - Drive Jira/GitLab execution and provide accurate inputs into integrated master schedules and program-level planning - Understand and manage data availability, system architecture, integration dependencies, and technical constraints across high-side networks - Identify technical blockers early, own their resolution, and immediately escalate critical risks when required - Partner with subcontractors and external engineering teams where applicable, defining interfaces, deliverables, handoffs, and accountability - Communicate technical progress, risks, tradeoffs, and decisions clearly to both engineering teams and senior customer stakeholders Must haves: - Active TS/SCI clearance - 5+ years of experience in technical program management, software engineering, systems engineering, product management, technical consulting, or a related technical delivery role - Strong technical literacy across software architecture, APIs, data systems, system integration, and AI/ML-enabled products - Ability to write detailed technical and product requirements that engineering teams can directly execute against - Experience driving complex technical programs across multiple engineering and stakeholder groups - Strong understanding of program management fundamentals, including requirements traceability, dependencies, risks, schedules, and deliverables - Ability to reason about data availability and software integration constraints in secure or highly regulated environments - Comfort working extensively inside secure facilities and air-gapped government systems - Willingness to travel 25–50% for onsite engagements, integration work, user testing, briefings, and formal evaluation events We have a diverse team with a variety of skill sets, many have: - A technical degree in computer science, engineering, mathematics, physics, data science, or a related field - Proficiency in Python, SQL, or another programming language - Prior experience as a software engineer, systems engineer, solutions architect, or technical product manager - Experience building or deploying AI/ML and agentic systems on classified networks Candidates may align to one or more of the following mission areas depending on background, customer need, and program assignment: - Indications & Warning (I&W) — Defense intelligence cycles, warning frameworks, JIOC/watch-floor operations, and multi-INT analysis - Dynamic Planning — Combatant Command decision-making, Joint Planning Process, homeland defense, and battle-staff operations - Non-Kinetic Effects Integration — Electromagnetic warfare, cyber, space, EMSO, and integration of non-kinetic effects into joint targeting - Modeling & Simulation — Constructive simulation, force-on-force analysis, synthetic data, and AI behavior representation - Sensor Orchestration — Sensor tasking, collection management, multi-INT strategies, and sensor-to-shooter workflows - Dynamic Agentic IAMD Planning — Integrated Air and Missile Defense, weapon-target pairing, threat profiles, ROE, and agentic defensive planning - Adversary Test Data Integration — High-side intelligence data sources, government repositories, security approvals, and data integration - Agentic RoL Track Trajectory Prediction — Multi-sensor track fusion, state estimation, trajectory prediction, and agentic analysis of real-time track data - Object Custody — F2T2EA targeting, target custody, sensor coverage, and partner/subcontractor integration - Cross-Domain Solutions (CDS) — Cross-domain data transfer, accreditation, Raise-the-Bar standards, and movement of AI/ML capabilities across security boundaries Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Washington DC is: $166,400 - $249,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Scale's public sector business is providing the best of American commercial technology and innovation to protect the homeland and meet the moment. As a member of our public sector delivery team, you will own relationships critical to the portfolio of clients charged with a layered defense for the United States. You will be a catalyst, willing to go deep, get technical, and drive change. You will manage customer relationships and partners as well as partner with our engineering team to solve Scale’s hardest problems. All of this serves an ultimate goal of delivering cutting-edge agentic AI to orchestrate portfolio management for defense of the homeland. You will: - Own customer relationships across the account, from senior government leaders and program offices to analysts and operational users - Build structured user-engagement programs that reach the operators and analysts using Scale’s products day-to-day - Work alongside customers to translate operational workflows and mission problems into well-defined AI and agentic workflow use cases - Lead cross-functional teams across engineering, product, operations, security, and government stakeholders to deliver on customer objectives - Plan and execute customer engagement weeks, user testing events, demonstrations, briefings, and other onsite activities - Drive adoption of Scale capabilities in operational environments, incorporating user feedback into product requirements and delivery priorities Must haves: - Active TS/SCI clearance - 5+ years of experience in technical program management, software engineering, systems engineering, product management, technical consulting, or a related technical delivery role - Demonstrated ability to build trust with both senior executives and hands-on operational users - Experience translating complex customer workflows into structured technical or product requirements - Strong technical fluency and the ability to hold credible conversations with engineering and product teams about AI, software systems, data, and agentic workflows - Excellent written and verbal communication skills, including the ability to communicate effectively with senior government leaders - Comfort working extensively inside secure facilities and air-gapped government systems - Willingness to travel 25–50% for onsite engagements, testing events, briefings, and customer meetings We have a diverse team with a variety of skill sets, many have: - Prior military or civilian experience inside a Combatant Command, Numbered Air Force, Air Operations Center, Joint Intelligence Operations Center, or Intelligence Community agency - Experience deploying software into a live operational center or watch floor - Experience writing Product Requirements Documents and translating operator workflows into software requirements - Familiarity with Joint Planning, intelligence, targeting, integrated air and missile defense, modeling and simulation, or related mission areas - Experience supporting formal government test and evaluation events Candidates may align to one or more of the following mission areas depending on background, customer need, and program assignment: - Indications & Warning (I&W) — Defense intelligence cycles, warning frameworks, JIOC / watch-floor operations, and multi-INT analysis - Dynamic Planning — Combatant Command decision-making, Joint Planning Process, homeland defense, and battle-staff operations - Non-Kinetic Effects Integration — Electromagnetic warfare, cyber, space, EMSO, and integration of non-kinetic effects into joint targeting - Modeling & Simulation — Constructive simulation, force-on-force analysis, synthetic data, and AI behavior representation - Sensor Orchestration — Sensor tasking, collection management, multi-INT strategies, and sensor-to-shooter workflows - Dynamic Agentic IAMD Planning — Integrated Air and Missile Defense, weapon-target pairing, threat profiles, ROE, and agentic defensive planning - Adversary Test Data Integration — High-side intelligence data sources, government repositories, security approvals, and data integration - Agentic RoL Track Trajectory Prediction — Multi-sensor track fusion, state estimation, trajectory prediction, and agentic analysis of real-time track data - Object Custody — F2T2EA targeting, target custody, sensor coverage, and partner/subcontractor integration - Cross-Domain Solutions (CDS) — Cross-domain data transfer, accreditation, Raise-the-Bar standards, and movement of AI/ML capabilities across security boundaries Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Washington DC is: $166,400 - $249,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.