Perplexity

Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information. Internship program: 12 - 24 weeks, full-time, in-person in the Belgrade office. Responsibilities: - Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers. - Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models. - Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks. - Support deployment and monitoring of search and ranking models in a scalable and performant way. - Help build and iterate on RAG pipelines for grounding and answer generation. - Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML. Qualifications: - Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems. - Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects. - Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required. - Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required. - Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment - Experience with Rust will be a plus

Perplexity is looking for a Backend/Infrastructure Engineer Intern to support our small, high-impact team building the systems that power our search experience. You will work closely with experienced engineers to help design, build, and operate robust infrastructure and backend services that keep Perplexity fast, reliable, and scalable. Internship program: 12 - 24 weeks, full-time, in-person in the Belgrade office. Responsibilities: - Build and maintain infrastructure that supports high-performance search systems, with mentorship from senior engineers. - Design internal tools and automation to improve developer workflows and operational efficiency. - Support the design, deployment, and monitoring of cloud-native systems on AWS. - Contribute to improving CI/CD pipelines, testing infrastructure, and release processes. - Debug and optimize Linux-based services, containers, and backend systems. - Contribute to product codebases, primarily using Rust, Go or C++. Qualifications: - Working towards a degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Familiarity with at least one programming language such as Go, Rust, or C/C++, through coursework or projects. - Basic understanding or exposure to cloud infrastructure (e.g. AWS) and Linux systems is a plus, not a requirement. - Interest in infrastructure, distributed systems, or backend engineering, with willingness to learn about CI/CD, monitoring, and performance. - A proactive and curious learner who enjoys collaborating in a fast-paced, innovative environment

At Perplexity, we're changing how the world finds answers. In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and behind all of that sits the technology infrastructure that keeps a fast-moving company running. We're looking for an IT Systems Administrator who wants to do more than keep the lights on. This is an early, high-impact role where you'll build the systems and automations that let our team move even faster. You won't just respond to tickets. You'll figure out how to make them disappear. We give our IT team the same AI tools we build for everyone else, and we expect you to use them. This role is based in-person at our San Francisco office. WHAT YOU’LL DO: - Use Perplexity's own Computer product to build AI automations, custom skills, and IT workflows that take repetitive work off your plate - Work with agentic IT ticketing, building workflows that resolve common requests automatically - Help stand up new office buildouts as we grow - Procure, maintain, and administer computers along with office and audio/video technology - Manage and optimize corporate software systems - Own and improve our Mobile Device Management (MDM) setup - Roll out and enforce strong security policies - Automate the provisioning and management of user accounts and permissions - Deliver fast, effective support and untangle the hard problems - Lead IT projects across endpoint management, security, and infrastructure - Train and support staff on IT systems, in person and remotely QUALIFICATIONS: - 5+ years of hands-on IT systems administration experience - Strong skills in macOS and Google Workspace - Sharp troubleshooting instincts across MDM, Okta, and networking - Hands-on expertise administering and automating Okta, including HRIS integrations and end‑to‑end user lifecycle automation using Okta Workflows; scripting experience with Bash or Python is highly preferred - A solid grasp of cybersecurity fundamentals, including IAM, least privilege, encryption, and antivirus - Experience running a ticketing system, including ITIL Problem Management and SLAs - A track record of leading IT projects from upgrade to rollout with minimum supervision - Clear communication and a genuine interest in automating away busywork

Perplexity is looking for a Scaled Enterprise Customer Success Manager to join our Enterprise team. In this role, you'll be responsible for driving onboarding, adoption, retention, and expansion across a high-volume book of SMB and Mid-Market customers. The ideal candidate has a strong foundation in Customer Success or Account Management within a scaling technology company, with the ability to use data, repeatable programs, and sharp customer judgment to create impact across many accounts. You will work closely with members of the Enterprise, Sales, Product, Support, and Marketing teams to help customers realize value from Perplexity at scale. This role requires strong communication, operational discipline, comfort with ambiguity, and a proactive "can-do" attitude. Your success will play a crucial role in expanding Perplexity's enterprise customer base, identifying conversion opportunities from self-serve customers, and helping build the next generation of scaled customer success motions. Responsibilities - Execute the scaled Enterprise customer success strategy developed by leadership - Manage a high-volume portfolio of SMB and Mid-Market customers through a lower-touch, data-informed engagement model - Serve as a point of contact for customers across onboarding, adoption, value realization, renewal, and expansion moments - Drive initial enablement through repeatable onboarding programs, training sessions, office hours, webinars, and digital content - Monitor customer health, usage trends, and engagement signals to prioritize outreach and identify risks or growth opportunities - Identify self-serve customers with strong usage, business fit, or expansion potential and support conversion opportunities into Enterprise - Partner with Sales and Account Management to surface expansion, upgrade, and renewal opportunities across scaled accounts - Help customers quantify value delivered by Perplexity through usage insights, adoption milestones, and business outcomes - Advocate for customer needs and collaborate with cross-functional teams to improve product experience, enablement materials, support processes, and scaled CS playbooks - Track and report on key performance indicators, analyze data to identify trends, and recommend improvements to scaled engagement programs Qualifications - 3+ years of experience in Customer Success, Account Management, Sales, or related customer-facing roles at scaling technology companies - Experience supporting SMB, Mid-Market, or high-volume customer segments, ideally in a SaaS or AI/productivity tooling environment - Strong customer judgment with the ability to balance personalized engagement and scalable program execution - Proven ability to drive adoption, retention, and growth across a book of business - Excellent written and verbal communication skills, with the ability to clearly explain value to business and technical stakeholders - Comfortable using data to prioritize outreach, diagnose account health, identify product usage trends, and uncover expansion signals - A self-starter by nature, comfortable dealing with ambiguity and juggling multiple initiatives - Ability to work under pressure, thriving in demanding environments - Ability to work independently and as part of a collaborative team - Proficiency in CRM systems, customer success platforms, analytics tools, and customer engagement workflows

Perplexity is revolutionizing how companies get work done, and increasingly, how developers build the next generation of AI-native products on top of our search and answer infrastructure. We are seeking a Product Marketing Manager, API to join our team and serve as the strategic bridge between our API product reality and market impact. You will architect the external narrative of our developer platform, demonstrate what's possible to build with the Perplexity API, and run the campaigns that drive developer adoption and platform growth. If you have a passion for creating clarity when things are messy, thrive in turning ambiguity into a definitive point of view, and want to build a world-class marketing engine that drives launches as systems rather than events, this role is for you. RESPONSIBILITIES - Turn ambiguity into clarity. Transform complex product capabilities into a crisp market point of view, defining not just what we built, but who it's for, what it replaces, and why it wins. - Understand developers and shape the platform narrative. Maintain a deep, hands-on view of how developers evaluate and build with AI APIs, and translate that understanding into positioning, demos, reference apps, and use-case showcases that make it obvious what teams can build on the Perplexity API. - Drive API product adoption. Own the metrics that matter for a developer platform, including signups, first successful API call, activation, weekly active developers, and revenue, and build the programs that move them. - Build and manage developer campaigns. Plan and run integrated campaigns across owned channels, paid, social, email, events, hackathons, and partner ecosystems, defining the brief, commissioning assets, and reporting on funnel performance. - Drive launches as a system, not an event. Orchestrate product introductions by defining success metrics and sequencing readiness across teams, ensuring enablement and proof points land simultaneously with the launch. - Make others materially better at their jobs. Equip customer-facing teams with "talk tracks that close," handling objections and providing competitive intelligence that reflects the actual battlefield. - Obsess over the customer and the market. Maintain a sharp, real-time view of buyer needs and alternatives, ensuring our narrative remains grounded in truth and provable value rather than empty hype. - Measure outcomes, not just outputs. Tie messaging and launches to tangible pipeline influence, activation, and retention, running lightweight experiments to iterate fast on pricing, packaging, and positioning. QUALIFICATIONS - 7+ years of experience in product marketing, ideally within a high-growth technology company where you have owned end-to-end product launches. - Experience marketing to developers, technical buyers, or an API, SDK, platform, or infrastructure product, with a strong grasp of the developer marketing playbook. - Technical fluency: comfortable reading API docs, running sample code, and credibly discussing tradeoffs like model choice, retrieval quality, latency, and cost with engineers and PMs. - Demonstrated ability to build and manage integrated campaigns end to end, including briefing creative, working with cross-functional partners, and tracking funnel performance. - Proven track record of synthesizing complex technical concepts into simple, specific, and provable narratives that travel across executive, sales, and partner teams. - Deep familiarity with the rules of traditional marketing with an interest in breaking them. - World-class storytelling skills grounded in data, with the ability to summarize a product's value in a single sentence and defend it with evidence. - Extreme comfort delivering clarity in high-velocity, ambiguous environments.

In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Enterprise Experience team builds the foundation that lets organizations bring that power to every employee with confidence, control, and scale. Enterprise Experience is the team that brings Perplexity into the workplace. You’ll build user-facing products that help organizations adopt products like Computer in practical, everyday tasks, and also guide organization admins to onboard and enable their teams to use Perplexity products effectively. Tech Stack: Python | Go | PostgreSQL | DynamoDB | AWS | TypeScript | React WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Build intelligent products across onboarding, membership management, organization insights, permissions, subscriptions, billing, and usage controls. - Build systems that help organizations manage Perplexity at scale, from first setup through expansion, making it easier for admins to onboard teams, configure features, manage usage, and understand spend. - Collaborate closely with PM, Design, Data Science, Sales, and Enterprise customers to turn complex administrative, billing, and governance needs into simple, reliable product experiences. - Own critical platform primitives end-to-end, from frontend admin flows to backend services, data models, billing integrations, observability, and production operations. QUALIFICATIONS - 4+ years of professional software engineering experience; we’re open to strong junior and mid-level candidates with a track record of shipping. - Backend / Full Stack engineering skills, with experience in designing and building scalable and reliable distributed systems, serving high traffic and a large user base. - Strong execution: you can take ambiguous product needs, break them down, and ship durable systems with clear customer impact. - Experience building product or platform features that require careful data modeling, state management, backend correctness, and high-quality user experience. - Strong product judgment; you can make complex admin, billing, and permissions workflows feel simple and intuitive. - Self-motivated with strong ownership instincts; you identify problems, propose solutions, and drive improvements without waiting for perfect specs. - Genuine interest in AI products and willingness to learn quickly. NICE TO HAVE - Experience building enterprise SaaS products, admin consoles, membership systems, RBAC/permissions, or organization management features. - Experience with subscriptions, billing systems, or usage-based pricing. - Familiarity with security, compliance, or governance concerns in enterprise products. - Experience partnering directly with Sales, Finance, Support, or enterprise customers to solve high-impact product and platform problems. - Time spent at a fast-growing startup or on a high-ownership engineering team.

In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and every action an agent takes is metered, budgeted, and settled through the billing platform this role owns. As a monetization engineer at Perplexity, you'll own the abstractions that let product teams ship new SKUs, run pricing experiments, and convert users into paying customers, without needing to understand billing internals. The usage-based billing system this team owns is foundational to Perplexity Computer and our agentic products: metering every agent action in real time, enforcing credit budgets, and settling costs across entirely new interaction models. You'll work across subscriptions, usage-based billing, and enterprise contracts to ensure every revenue path is reliable, observable, and easy to extend. Tech Stack: Python | Go | Stripe | PostgreSQL | AWS | Docker WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own the billing platform and monetization systems that power Computer and every paid experience across Perplexity. - Lead features end-to-end, from problem definition through technical design, implementation, and launch, including the billing API abstractions that let product teams ship new SKUs, pricing models, and monetization experiments with minimal friction. - Build and operate the subscription, invoicing, and usage-based billing systems that serve millions of users across consumer and enterprise plans. - Hill-climb on reliability: tiered SLOs organized by customer impact, proactive monitoring, and alerting to catch revenue-affecting issues before customers do. - Partner closely with Finance, Data Science, Growth, Security, Support, and go-to-market teams to keep billing data accurate, auditable, and compliant, and to expand payment method coverage and optimize authorization rates globally. - Build internal tooling that empowers Support and Finance to diagnose and resolve billing issues quickly. QUALIFICATIONS - 4+ years of professional software engineering experience. - Direct experience building or scaling billing, payments, subscription, or monetization systems. - Deep familiarity with payment processors (Stripe, Square, etc.), including subscriptions, invoicing, disputes, refunds, and webhooks. - Demonstrated experience and appetite for building in-house billing solutions that rival leading best-in-class buy options. - Strong backend engineering skills in Python with the ability to reason about complex distributed systems. - Experience with relational databases (PostgreSQL) and making data-informed decisions to prioritize work. - Strong product judgment, you translate user and stakeholder problems into simple, effective technical solutions. - Self-motivated with strong ownership instincts, you ship major features ahead of schedule and drive improvements without asking for permission. - Track record of cross-functional collaboration with Finance, Support, or Growth stakeholders. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - 2+ years of hands-on experience with the Stripe APIs and SDKs. - Experience with usage-based or metered billing models, especially metering agent actions, tokens, or other non-traditional units. - Experience with Apple and Google Play in-app purchase billing. - Familiarity with growth experimentation and PLG/self-serve Saa

PERPLEXITY API PLATFORM Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers. From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry. We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike. Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between. We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds. ABOUT THIS ROLE Perplexity is seeking strong engineers with a passion for delivering frontier intelligence and infrastructure to developers. Our company builds technology that reshapes how people search, reason, and interact with the world around them. Week after week, we observe increasing demand for programmatic interfaces to that technology. The API Platform engineering team is charged with designing, implementing, and scaling these interfaces. As a member of our team, you'll work on an eclectic portfolio spanning distributed systems, performance optimization, agent orchestration, and frontier topics that often change with each passing month. Throughout this work, you'll prioritize great developer and agent experience alike. You'll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.). KEY RESPONSIBILITIES - Design, build, and operate mission-critical APIs that provide our customers the building blocks for frontier intelligence. - Ensure low latency and high throughput through aggressive performance optimization (including on upstream systems). - Continually reimagine the customer needs of tomorrow (and the architectures to serve those needs), while faithfully serving the customer workloads of today. - Harden system security and reliability across heterogeneous compute environments. - Collaborate across teams to incorporate novel frontier capabilities into the API Platform and improve existing capabilities for API customer needs. - Uphold engineering excellence through design reviews, code quality, and internal documentation. QUALIFICATIONS - 5+ years of backend engineering experience with Python, Go, or Rust. - Strong understanding of high-traffic API design: schema evolution & versioning, idempotency, authentication patterns, rate limiting, and performance tuning. - Hands-on cloud experience (AWS preferred), along with fluency with Kubernetes, CI/CD, and modern DevOps practices. - Experience with modern AI APIs (including latency tuning, streaming, model orchestration, emerging technical standards) is a strong plus. - Strong customer empathy and product sense, ensuring the APIs you build are ergonomic, well-documented, and easy to adopt for developers and agents alike.

PERPLEXITY API PLATFORM Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers. From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry. We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike. Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between. We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds. ABOUT THIS ROLE Perplexity is seeking an energetic leader to oversee the developer experience across our API Platform. In this role, you'll manage our developer experience end-to-end and own the arc of how developers discover, adopt, and succeed with Perplexity's APIs. You'll combine strong technical expertise with a high bar for craft and a passion for community building. You will personally serve as the face of Perplexity to developers, who will come to trust you as a champion for their needs and priorities. The initiatives you lead will bolster Perplexity as the platform of choice for developers seeking to build performant, efficient, and accurate AI systems. WHAT YOU'LL DO - Oversee the developer experience portfolio across Perplexity API Platform. - Craft and curate our developer-facing presence across docs, SDKs, CLIs, MCPs, and Agent Skills, with meticulous taste and attention to detail. - Build and nurture a thriving developer community that evangelizes Perplexity's API offerings and broadens conceptions of what's possible. - Represent the voice of the developer by maintaining a panoptic understanding of customer priorities, success patterns, and friction points. - Lead public engagement across developer events, social media, forums, and other high-signal channels. - Foster an ecosystem of community resources and examples that set the standard for how each API offering can be most effectively used. - Define metrics for developer health and satisfaction, and drive continuous improvement across our API Platform. - Run workshops, hackathons, and other participatory programs to convert curiosity into tinkering, tinkering into deployment, and deployment into customer wins. - Partner with fellow technical staff, GTM, support, and other cross-functional collaborators to ensure developers succeed across every industry and deployment scale. WHAT WE'RE LOOKING FOR - Substantial experience working on or adjacent to developer-facing products in a technical capacity, preferably with a track record of growing adoption. - Strong empathy for developers across experience levels and technology stacks (past developer relations experience is highly relevant). - Detailed and accurate mental model of the developer ecosystem: in particular, how developers learn about, evaluate, and select API products. - Well-calibrated taste for API ergonomics; experience prototyping and developing API-based products end-to-end. - Sound understanding of the modern AI technical stack, major players/technologies at each layer, and differentiation opportunities. - Strong written and oral communication skills, with particular savviness in developer-facing mediums (technical articles, documentation, conference talks, social media, etc.). - Ability to balance aggressive use of frontier AI agents with the need for personality and taste. - High intrinsically-enforced standards for the craft and quality of your work;

Perplexity is AI for people who expect more. This role brings that same standard to how our data team works - with AI at the center of everything we do. We're looking for someone who's been a great data scientist, analytics engineer, or data engineer - the kind of person who knows which metric actually matters, who can design an A/B test that answers the real question, who's gone deep on a data model because something didn't add up - and who has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done. Not another text-to-SQL bot. Not another dashboard. You'll build AI agents that conduct full analyses autonomously - forming hypotheses, writing and running queries, interpreting results, and drafting recommendations. You'll make the entire data warehouse AI-readable so any system can query it accurately. You'll create self-healing pipelines that detect and fix data issues before anyone notices. You'll build the infrastructure that turns a small data team into one that operates at 10x its size. You'll join a data team that's already using AI across its workflows - but we know there's a much bigger opportunity ahead. We have buy-in from leadership to make it happen. Now we're building a team dedicated to taking what we've started and turning it into something world-class: scalable systems, new tools, and an AI-native way of working that doesn't just make us world-class - but pushes the entire industry forward. WHAT YOU'LL DO - Accelerate the AI-native data workflow - the team is already working this way. You'll take what's working and turn it into repeatable systems, scalable tools, and patterns that the data team and the entire company can adopt - Build AI agents that do data science - not just answer SQL questions, but conduct end-to-end analyses: explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations - Make the warehouse AI-readable - build the semantic layer, context, and retrieval infrastructure that lets any AI system (internal or product) query Perplexity's data accurately and reliably - Automate the data lifecycle - self-healing pipelines, automated dbt model generation and validation, data quality agents that detect, diagnose, and fix issues autonomously - Ship AI-powered experiment analysis - agents that interpret A/B test results, flag statistical issues, and draft ship/no-ship recommendations for product teams - Own the full lifecycle - from identifying the highest-leverage problem, to prototyping with LLMs, to iterating on accuracy and UX, to production deployment and monitoring - Turn the data team into a product team - build internal data products that stakeholders across the company actually use daily, replacing ad-hoc requests with self-serve AI interfaces WHAT WE'RE LOOKING FOR - 6-8+ years in data science, analytics engineering, or a related role - you've been in the data trenches - Strong product sense - you've worked closely with product and business teams, you understand what drives user behavior, and you have good instincts for what to measure and what to build - Deep SQL expertise - you think in SQL, you've built data models, you know your way around a warehouse - Pipeline experience - you've built and maintained data pipelines, worked with dbt, dealt with data quality issues firsthand - Enough software engineering chops to be dangerous - you can build and ship a working tool in Python, not just a notebook. You can wrangle APIs, deploy a service, write code that other people can maintain. You're not a SWE, but you're not afraid of production - Genuinely excited about AI - you've been building with LLMs on your own time. You have opinions about which models are good at what. You've tried building agents, RAG systems, or AI-powered workflows. You follow the space obsessively because you think it's going to change everything - including how data teams work - Builder mentality - you see a ma

Perplexity is AI for people who expect more. This role brings that same standard to how our data team works - with AI at the center of everything we do. We're looking for someone who's been a great data scientist, analytics engineer, or data engineer - the kind of person who knows which metric actually matters, who can design an A/B test that answers the real question, who's gone deep on a data model because something didn't add up - and who has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done. Not another text-to-SQL bot. Not another dashboard. You'll build AI agents that conduct full analyses autonomously - forming hypotheses, writing and running queries, interpreting results, and drafting recommendations. You'll make the entire data warehouse AI-readable so any system can query it accurately. You'll create self-healing pipelines that detect and fix data issues before anyone notices. You'll build the infrastructure that turns a small data team into one that operates at 10x its size. You'll join a data team that's already using AI across its workflows - but we know there's a much bigger opportunity ahead. We have buy-in from leadership to make it happen. Now we're building a team dedicated to taking what we've started and turning it into something world-class: scalable systems, new tools, and an AI-native way of working that doesn't just make us world-class - but pushes the entire industry forward. WHAT YOU'LL DO - Accelerate the AI-native data workflow - the team is already working this way. You'll take what's working and turn it into repeatable systems, scalable tools, and patterns that the data team and the entire company can adopt - Build AI agents that do data science - not just answer SQL questions, but conduct end-to-end analyses: explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations - Make the warehouse AI-readable - build the semantic layer, context, and retrieval infrastructure that lets any AI system (internal or product) query Perplexity's data accurately and reliably - Automate the data lifecycle - self-healing pipelines, automated dbt model generation and validation, data quality agents that detect, diagnose, and fix issues autonomously - Ship AI-powered experiment analysis - agents that interpret A/B test results, flag statistical issues, and draft ship/no-ship recommendations for product teams - Own the full lifecycle - from identifying the highest-leverage problem, to prototyping with LLMs, to iterating on accuracy and UX, to production deployment and monitoring - Turn the data team into a product team - build internal data products that stakeholders across the company actually use daily, replacing ad-hoc requests with self-serve AI interfaces WHAT WE'RE LOOKING FOR - 6-8+ years in data science, analytics engineering, or a related role - you've been in the data trenches - Strong product sense - you've worked closely with product and business teams, you understand what drives user behavior, and you have good instincts for what to measure and what to build - Deep SQL expertise - you think in SQL, you've built data models, you know your way around a warehouse - Pipeline experience - you've built and maintained data pipelines, worked with dbt, dealt with data quality issues firsthand - Enough software engineering chops to be dangerous - you can build and ship a working tool in Python, not just a notebook. You can wrangle APIs, deploy a service, write code that other people can maintain. You're not a SWE, but you're not afraid of production - Genuinely excited about AI - you've been building with LLMs on your own time. You have opinions about which models are good at what. You've tried building agents, RAG systems, or AI-powered workflows. You follow the space obsessively because you think it's going to change everything - including how data teams work - Builder mentality - you see a ma

Perplexity is revolutionizing how people discover and interact with information through AI-powered search and knowledge tools. As we expand our global footprint, we're establishing a strategic presence in London to drive innovation and growth across Europe. The Role: We're seeking an exceptional Site Lead to establish and scale our London office. This is a unique opportunity to shape Perplexity's presence in one of the world's leading tech hubs, building teams and culture from the ground up while driving technical excellence in infrastructure and AI systems. As Site Lead, you'll serve as the face of Perplexity in London, responsible for building our technical organization, fostering a world-class engineering culture, and directly managing one or more infrastructure teams. You'll report to senior leadership and work cross-functionally with teams across our global footprint. The individual in this role will manage teams in LON themselves while also facilitating. Responsibilities: Site Leadership & Culture - Establish and lead Perplexity's London office, setting the cultural foundation and operating principles - Build a collaborative, high-performance engineering culture that aligns with Perplexity's values while embracing the strengths of the London tech ecosystem - Serve as the primary point of contact for all London-based activities and represent the site in company-wide strategic discussions - Partner with People/HR, Finance, and Operations to ensure seamless site operations - Drive local community engagement, partnerships, and Perplexity's brand presence in the London and European tech community Technical Leadership: - Directly manage and mentor one or more infrastructure or AI infrastructure teams in London (5-15+ engineers) - Set technical direction and strategy for London-based infrastructure initiatives in alignment with company-wide goals - Drive architectural decisions and technical excellence across teams - Ensure robust systems for deployment, monitoring, scalability, and reliability of infrastructure supporting AI/ML workloads - Collaborate with engineering leaders globally to align on technical standards, best practices, and cross-site initiatives Team Building & Talent: - Build and scale high-performing infrastructure and AI infrastructure teams through strategic hiring - Develop and execute talent acquisition strategy for the London site in partnership with recruiting - Create career development frameworks and growth opportunities for engineers - Foster technical mentorship and knowledge sharing across teams and sites Cross-functional Collaboration: - Partner with Product, Engineering, and Research teams globally to understand infrastructure needs and deliver solutions - Coordinate with other site leads and engineering leaders to ensure effective cross-site collaboration - Contribute to company-wide infrastructure strategy and roadmap planning - Facilitate knowledge transfer and best practice sharing across global teams Qualifications: Required - 10+ years of experience in software engineering with 5+ years in infrastructure, cloud infrastructure, or AI infrastructure roles - 3+ years of people management experience, including building and scaling teams - Proven track record of establishing or significantly growing an engineering site or office - Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation - Experience with infrastructure supporting large-scale AI/ML systems, including: - GPU infrastructure and orchestration - ML training and inference pipelines - Model serving and deployment at scale - Strong understanding of modern infrastructure technologies: Kubernetes, Terraform, container orchestration, CI/CD systems - Demonstrated ability to set technical vision and drive execution across multiple teams - Excellent communication and stakeholder management skills - Experience working in fast-paced, high-growth technology companies - Passion for buildin

ABOUT THE ROLE Perplexity is seeking a Strategic Finance - Infrastructure Lead to provide financial leadership over our cloud service provider (CSP) spend, compute and model capacity planning, and broader infrastructure economics. This person will be a core partner to our engineering, infrastructure, and product teams, bringing financial rigor and judgment to the most consequential cost decisions the company makes. You’ll build the models that underpin our capacity investments, own the day-to-day CSP and model provider relationships, and help shape how we plan for infrastructure as the business scales. The role partners closely with Accounting and Engineering leadership to keep our compute and CSP strategy tightly aligned with the company’s financial trajectory. RESPONSIBILITIES: Capacity Planning & Infrastructure FP&A - Build and maintain multi-year capacity forecasts and scenario models across CPU, GPU, and accelerator footprints - Partner with Strategic Finance leadership on long-horizon capacity decisions, including reserved/committed structures and build-out sequencing - Lead ROI and trade-off analysis for new platforms, hardware generations, and efficiency initiatives - Translate engineering and product roadmaps into capacity requirements and the cost envelope to support them Cloud Service Provider (CSP) Financial Management - Own day-to-day management for all core infrastructure spend, including the monthly bill, variance analysis, and forecasting - Drive efficiency and optimization initiatives with engineering and infrastructure teams - Build cost-driver models that explain spend movements and surface the levers behind them - Support CSP rate and commit negotiations with rate analysis, benchmarking, and contract modeling - Maintain deep working knowledge of CSP contract terms, pricing structures, discount programs, and optimization opportunities - Partner with Accounting on contract operationalization, accrual accuracy, and compliance Inference Cost Allocation & Unit Economics Support - Own management and forecasting of inference costs end-to-end, including product unit economics - Partner with Strategic Finance and executive leadership on scenario analysis to understand core unit economics and product-mix view and it’s impact on strategy and financial statements - Support training-run budgeting, tracking, and ROI analysis YOU MAY BE A GOOD FIT IF YOU HAVE: - 4+ years of experience in strategic finance or FP&A at a high-growth technology company, plus 2+ years in investment banking at a top-tier firm - Strong financial modeling skills and the ability to translate complex operating data into clear, decision-ready analysis - A track record of partnering effectively with engineering or technical teams to drive financial outcomes - Comfort communicating complex financial concepts to non-finance audiences across the company - Bias for action, first-principles thinking, and an ability to make progress in ambiguous environments - Excitement about working in a fast-paced, hyper-growth setting and adapting quickly as priorities shift - Strong process discipline, business judgment, and cross-functional communication skills - Genuine interest in AI infrastructure and the cost dynamics of large-scale model serving and training STRONG CANDIDATES MAY ALSO HAVE: - Direct experience managing or modeling cloud infrastructure spend (AWS, GCP, Azure) - Background in AI, ML, or high-performance computing infrastructure economics - Familiarity with GPU pricing, reserved/committed structures, and CSP discount mechanics - Experience supporting capital-intensive capacity decisions or multi-year vendor commitments - Advanced Excel and financial modeling skills

About the Role The Storage Platform team owns the infrastructure that powers how Perplexity persists, retrieves, and manages data across all systems, ensuring high availability, performance, and cost-efficiency for every product and AI workload. This foundational, high-impact group is responsible for the full spectrum of storage technologies – relational databases, vector databases, custom storage implementations, and the tooling to provision, monitor, and optimize them at scale. By building robust abstractions and operational excellence around storage, the team enables engineers across Perplexity to focus on product innovation while trusting that data is fast, reliable, and always accessible. KEY RESPONSIBILITIES - Design, operate, and continuously improve the storage platform that underpins all Perplexity products and AI workloads, including relational, NoSQL, and vector databases. - Own reliability, performance, and availability SLOs for stateful systems, driving root cause analysis and long‑term fixes for storage‑related incidents. - Define and evolve opinionated storage abstractions, APIs, and tooling that make it simple and safe for product teams to consume storage at scale. - Partner with AI, infra, and product teams to design data models and access patterns that meet low‑latency, high‑throughput, and cost‑efficiency requirements. - Lead capacity planning, benchmarking, and lifecycle management for storage clusters, including scaling, migrations, and deprecations. QUALIFICATIONS - 5+ years of experience building and operating large‑scale backend or infrastructure systems in production. - Deep hands‑on experience with at least one major database technology (for example, Postgres, MySQL, DynamoDB, Cassandra) and familiarity with modern cloud storage services. - Strong fundamentals in distributed systems, data modeling, and performance optimization for high‑throughput, low‑latency workloads. - Proven track record of owning services end‑to‑end, including design, implementation, deployment, and on‑call. - Proficiency in at least one programming language used for backend systems (such as Go, Rust, or Python). - Effective communication and collaboration skills, with the ability to partner closely with product, infra, and AI teams. If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.

In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Growth team owns the product loops that help them discover, adopt, and build lasting habits around our most important AI experiences. As a growth engineer at Perplexity, you'll work across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — while also building the applied AI systems that make those experiences smarter. Engineers are responsible for end-to-end projects from training and productionizing classifiers to identify high-intent users, personalizing value discovery, shipping contextual onboarding experiments, or wiring new AI capabilities into measurable adoption and revenue outcomes. Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product - we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end. Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own growth surfaces across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — for Computer and every Perplexity product. - Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel and learning quickly from each. - Build applied AI systems that power growth: classifiers for high-intent segments, personalization for value discovery, and AI-driven onboarding and recommendation surfaces. - Launch vertical-specific experiences (e.g., students, enterprise organizations) that connect new AI capabilities to measurable adoption and revenue outcomes. - Hill-climb on the metrics that matter: activation rate, paid conversion, retention, and habit formation, instrumented with clean data and trustworthy experiment readouts. - Partner closely with Product, Design, Data Science, Monetization, Marketing, and Applied AI to translate behavioral signals and model outputs into durable product surfaces. QUALIFICATIONS - 2+ years of professional software engineering experience (we're open to strong junior and mid-level candidates with a track record of shipping). - Full-stack engineering skills, with comfort across a modern web stack (we use Next.js, React, TypeScript on the frontend and Python on the backend). - Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome. - Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents). - Comfort with SQL and data-informed decision-making — you can pull, segment, and interpret your own funnel data. - Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions. - Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - Direct experience on a growth, activation, conversion, retention, or lif

PERPLEXITY IS LOOKING FOR PRODUCT MANAGERS TO JOIN A HIGHLY LEVERAGED, SMALL TEAM FOR BUILDING NEW PRODUCTS THAT INNOVATE TO ACCELERATE HUMAN PRODUCTIVITY. In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. Product managers at Perplexity work closely with design and engineering, focusing on the core Computer and search experience. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion in a particular industry that they are domain experts in: in the application please highlight which industry you are most interested in innovating. WHAT YOU'LL DO - Anticipate opportunities for innovation and value in enterprise industries. - Envision new experiences and deliver a long-term vision. - Understanding of levers for product-led growth and retention. - Work closely with engineering and design to align product expectations and capabilities. - Work with research to evaluate and steer nondeterministic models into the high value outcomes for users. - Work with data and user research to understand quantitative and qualitative data. - Have conviction to make difficult product decisions in the face of uncertainty. QUALIFICATIONS - Strong experience with product management and leadership. - Strong experience working with data and metrics. - Experience with productivity and knowledge work products. - Experience with prototyping and data visualization. - Experience with building data driven flywheels for iterative improvement. - Thrives in a small, agile team: has initiative and desire for ownership. - 4+ years of product management experience. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Perplexity is excited to announce the Internship Program for exceptional Master’s or PhD students studying Computer Science or Engineering in the UK, enrolled in the 2025-2026 academic year. This is an intensive program in which you will work directly with our AI Inference team. This program offers a unique opportunity to gain valuable experience in a rapidly growing AI startup. Outstanding performers might be offered a full time position at the end of the program. Our AI Inference team is responsible for running the models behind the Perplexity products. The team maintains the inference engine and deployments behind models ranging from single-node embeddings to distributed sparse Mixture-of-Experts models, maintaining large GPU clusters. With a keen focus on latency and throughput, the Inference team is responsible for the entire serving stack, from GPU kernels to networking and monitoring infrastructure. Responsibilities - Work with the inference team to improve serving latency and throughput - Bring up support for new models and state-of-the art inference optimizations or quantization schemes - Optimize inference across the entire stack, from GPU kernels to serving endpoints Qualifications - Strong engineering track record with proven knowledge of fundamentals and programming languages (multi-threaded programming, networking, compilation, systems programming, etc) - Pursuing a Master's or PhD in Computer Science with a focus on performance-related subjects (HPC, Compilers, Distributed Systems) - Experience with ML frameworks (Torch, JAX) - Experience with GPU programming (CUDA, Triton) - Experience with High-Performance Computing (OpenMPI) Schedule - Internship program: 13 weeks, full-time or part-time, in-person in London office (hybrid schedule: 3 days from the office, 2 days WFH) Interview Process - Fill out the application on Perplexity website - If selected, People Ops and technical interviews will be involved. - Offer. We’re impressed! We’d love to welcome you to our Internship program! - Start. We have a desk waiting for you in our London office! FAQ Do you sponsor visas? Can I apply if I need a visa to work in the UK? → Unfortunately we are unable to sponsor visas What if I’m on a student visa? → You need to seek approval from your University (to determine if you are eligible to work full time or part time only) How many internship spots are there? - We have spots for 2-3 interns in our 2026 class. Is housing provided? - Unfortunately we cannot provide housing. Is health insurance provided? - Unfortunately we cannot provide health insurance for interns. Full time employees receive full health insurance and benefits. How many full time offers are available at the end of the residency? - There is no limit. All outstanding performers will be given a full time offer! At Perplexity, we've experienced tremendous growth and adoption since publicly launching the world's first fully functional conversational answer engine in 2022. We've grown from answering 2.5 million questions per day at the start of 2024 to around 20 million daily queries in December 2024. We also offer Perplexity Enterprise Pro, which counts leading companies like Nvidia, the Cleveland Cavaliers, Bridgewater, and Zoom as customers. To support our rapid expansion, we've raised significant funding from some of the most respected technology investors. Our investor base includes IVP, NEA, Jeff Bezos, NVIDIA, Databricks, Bessemer Venture Partners, Elad Gil, Nat Friedman, Daniel Gross, Naval Ravikant, Tobi Lutke, and many other visionary individuals. In 2024, our employee base grew nearly 300%, and we're just getting started. Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.

Perplexity is looking for an Applied AI Engineer to design, build, and iterate on cutting-edge agents powering our core experience in Perplexity Computer. Working in this mission critical team, you will develop frontier context layer applications - fulfilling the curiosity of millions of users across the globe. Key Responsibilities - Apply state-of-the-art ML and LLM techniques to solve problems spanning: - Personalization (LLM memory, context summarization, retrieval and ranking); - Contextual recommendations and Monetization applications - Build frontier agent capabilities on top of Perplexity Computer - Build auto research harness for both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact. - Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement and build autonomous harness for agent squad to explore different problem spaces. - Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements. - Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle. Preferred Qualifications - 5+ years experience building and shipping robust AI products for large-scale, user-facing or data-driven products. - Strong software engineering skills (Python, production-quality codebases, collaborative development) and experience using agentic coding tools for large scale parallel developments. - In-depth experience with the full AI lifecycle: data analysis, rigorous evaluation, and ongoing monitoring/improvement. - Proven collaborator and communicator; excels in high-velocity, cross-functional teams. - Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI. - BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience). Bonus Points For - Experience with LLM context engineering or harness engineering. - Experience in mid-training or post-training frontier open source models - Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc).

Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and our specialized data sources. We aim to use the latest models as they are released, but the intelligence frontier is a jagged one, and popular benchmarks do not effectively cover our use cases. In this role, you will build specialized evals to improve answer quality across Perplexity, covering search-based LLM answers and other scenarios popular with our users. RESPONSIBILITIES - Architect and maintain automated evaluation pipelines to assess answer quality across Perplexity's products, ensuring high standards for accuracy and helpfulness - Design evaluation sets and methods specifically to measure the impact of tool calls (particularly web search retrieval) on the final answer's quality - Develop VLM-based solutions to programmatically evaluate how final answers render visually across different platforms and devices - Continuously review public benchmarks and academic evaluations for their applicability to the Perplexity product, adapting and incorporating them into our regular performance measurements - Operate within a small, high-impact team where your evaluation metrics directly shape product changes, collaborating closely with technical leadership to measure and improve Answer Quality QUALIFICATIONS - PhD or MS in a technical field or equivalent experience - 4+ years of experience in data science or machine learning - Strong proficiency in Python and SQL (expected to write production-grade code) - Experience building within a modern cloud data stack, specifically AWS and Databricks - Comfortable with agentic coding workflows and using AI-assisted development tools to iterate faster PREFERRED QUALIFICATIONS - 1+ years of experience working with LLMs at scale, specifically with LLM-as-a-judge setups - Prior experience working on customer-facing web products or consumer apps, with real user traffic at scale - A strong research background, with experience applying research methods to real-world ML problems - Experience defining evaluation metrics (e.g., factual consistency, hallucination rate, retrieval precision) and building ground truth datasets

We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL - and we need another engineer to join us. WHAT YOU WILL WORK ON Examples of real work the team does: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernel interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. GOOD IF YOU TOUCHED ANY OF - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).

Perplexity is seeking top-tier AI Research Scientists and Engineers to advance our AI products and capabilities. We're building the future of AI-powered search and agent experiences through our Sonar models, Deep Research Agent, Comet Agent, and Search products. Join us in creating SOTA experiences that handle hundreds of millions of queries and continue to scale rapidly. Team Structure Depending on your interests and expertise, you'll work on one of three specialized teams: 1. Core Research Team (Horizontal) Focus on generating and improving base models that power all our products. This team works on foundational model capabilities, post-training techniques, building RL infra and infrastructure that benefits the entire organization. 2. Agent Products Team (Vertical) Concentrate on fine-tuning and optimizing models for our Deep Research Agent and Labs/Canvas products. This team bridges research and product, ensuring our agent capabilities deliver exceptional user experiences. 3. Comet Agent Team (Vertical) Dedicated to developing and enhancing our Comet Agent product. This specialized team focuses on the unique requirements and optimizations needed for Comet's specific use cases. Responsibilities Research & Development - Post-train SOTA LLMs using the latest supervised and reinforcement learning techniques (SFT/DPO/GRPO) - Leverage our rich query/answer dataset to scale model performance across Sonar, Deep Research, Comet, and Search products - Stay current with the latest LLM research, especially in model training, optimization, and personalization techniques - Implement preference optimization and personalization capabilities to enhance user experience - Invent in-house improvements and optimizations to enhance SOTA models - Turn research ideas into algorithms and run experiments to launch new models Infrastructure & Implementation - Own full-stack data, training, and evaluation pipelines required for model development - Build robust and effective training frameworks (on top of Megatron/PyTorch) for post-training LLMs - Implement necessary infrastructure and components to support cutting-edge model training at scale - Integrate models seamlessly into our product ecosystem Collaboration - Work closely with engineering teams to integrate models into Perplexity's product suite - Collaborate across teams to ensure cohesive AI experiences throughout our platform - Partner with product teams to understand user needs and translate them into model improvements Qualifications Required - Proven experience with large-scale LLMs and Deep Learning systems - Strong programming skills in Python/PyTorch; versatility is a plus - Experience with post-training techniques and reinforcement learning - Self-starter with a willingness to take ownership of tasks - Passion for tackling challenging problems - Minimum 2-6 years of experience on relevant projects (depending on seniority level) Nice-to-have - PhD in Machine Learning, AI, Systems, or related areas - Experience in post-training LLMs with SFT/DPO/GRPO - C++/CUDA programming skills - Experience building LLM training frameworks - Academic publications and research impact - Experience with agent systems and multi-step reasoning - Background in personalization and preference learning

We are looking for an experienced Enterprise Customer Success Manager to join our Enterprise team. In this crucial role, you’ll be responsible for executing onboarding and adoption strategies through key client ownership across our Enterprise clientele. The ideal candidate will have a proven track record in tech of driving enterprise-level engagement, retention, and growth. You will work closely with other members of the Enterprise team, making strong communication and collaboration skills vital. A core sense of conviction and a “can-do” attitude are prerequisites. Your success will play a crucial part in expanding Perplexity's market presence and contributing to the company's overall success. RESPONSIBILITIES - Execute the Enterprise customer success strategy developed by leadership - Serve as a primary point of contact for key enterprise clients - Drive initial enablement through high quality onboarding and training - Identify and support opportunities for growth and client expansion - Manage retention, working with clients to quantify value delivered - Advocate for client needs, and collaborate with cross-functional teams to drive product development - Monitor and report on established key performance indicators, analyze data to identify trends REQUIREMENTS - 5+ years experience in Customer Success or Account Management roles at scaling tech companies, specifically working with enterprise clients - Proven track record of driving enterprise-level satisfaction, growth, and retention - Excellent communication and presentation skills, with the ability to engage C-level executives - A self-starter by nature, comfortable dealing with ambiguity and juggling multiple initiatives. - Ability to work under pressure, thriving in demanding environments - Ability to work independently and as part of a collaborative team - Proficiency in CRM systems and customer success tool WHY PERPLEXITY? - Impact at Scale – Your work directly influences hundreds of enterprise clients and millions of end-users at an unprecedented scale to encourage personalized support - Velocity & Ownership – Excel in a culture that values curiosity, speed, and quality - Cutting-Edge Tech – Operate at the forefront of applied LLMs and help invent how AI can redefine customer support itself.

Perplexity is seeking a highly motivated and skilled Account Executive to join our small but mighty Enterprise team. In this role, you will be responsible for driving new business growth and fostering strong relationships with potential clients. This role is ideal for proactive sales professionals who thrive at the intersection of technology and business, and who want to shape the future of enterprise AI. Responsibilities - Drive new business by prospecting, pitching, and closing Perplexity Enterprise Pro solutions with large organizations - Diligently research prospects, develop account strategies, and execute outreach campaigns tailored to company and industry needs - Conduct high-impact product demonstrations and respond to RFPs and technical inquiries - Lead client engagement through the entire sales cycle—from initial presentation, technical evaluation, negotiation, to closing and onboarding - Build and nurture senior-level relationships across enterprise clients, championing Perplexity’s value proposition and customer outcomes - Collaborate closely with Product, Marketing, and Customer Success to ensure customer satisfaction and solution fit - Maintain up-to-date knowledge of Perplexity’s platform, industry trends, and competitor landscape - Meet or exceed individual and team revenue targets on a monthly and quarterly basis - Maintain accurate records of pipeline and account activity using CRM tools Qualifications - 5+ years of full-cycle SaaS sales experience, ideally with enterprise-level clients - Proven record of meeting or exceeding annual revenue targets in a high-growth environment - Skilled at complex sales cycles, tailoring messaging to different buyer personas and decision makers - Proven success outbound prospecting to large enterprise - Exceptional written and verbal communication; comfortable presenting to C-suite executives - Adept at identifying client pain points and mapping solutions that drive business value - Ability to collaborate effectively with both cross-functional teams and technical stakeholders - Experience with CRM systems (e.g. Salesforce) - Bachelor’s degree or equivalent experience The cash compensation for this role is $200,000-400,000 OTE based on experience level. Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

ABOUT THE ROLE The Connector Platform team builds the data layer that lets Perplexity's agents reach into the world's software. This team owns the systems that turn hundreds of heterogeneous integrations (native, MCP, CLI, first-party, and third-party APIs) into one unified, reliable, well-typed surface that agents can call with confidence. The connector platform is the core layer that forms the knowledge layer for Computer: it is how the agent discovers what tools exist, understands what each one means, decides which to call, and grounds its reasoning in real, permissioned, up-to-date enterprise data. We maintain a knowledge layer above connectors that pushes and pulls context into them, rather than letting each connector hoard org knowledge on its own, making Computer the source of truth for institutional knowledge. Models are commoditizing; grounded, actionable, permissioned access to a customer's real systems is not. When this layer is fast, accurate, and semantically rich, every agent built on top of it gets smarter; when it is weak, no amount of model quality compensates. KEY RESPONSIBILITIES - Own the design and implementation of the connector runtime, the system that registers, hosts, and executes built-in connectors, hosted MCP servers, and CLI-backed tools behind a single agent-facing interface. - Build and extend the semantic layer: tool and entity schemas, capability metadata, relationship modeling, and the mechanisms for capturing and applying organization- and account-specific corrections and knowledge. - Design the tool-discovery and tool-selection surfaces that agents use to find the right connector and call it correctly, optimizing for both model accuracy and context efficiency. - Make agent loops robust: structured results, partial-failure and retry semantics, idempotency, pagination, rate-limit handling, and observability into every tool call an agent makes. - Define authentication, authorization, and credential-isolation patterns for connectors (OAuth flows, BYOK, per-org credential boundaries), partnering with Security and Backend Platform on defense-in-depth. - Build the connector onboarding path (schemas, fixtures, and evaluation suites) so new connectors ship with measurable quality rather than hope, and drive the eval metrics that tell us a connector actually works inside agent loops. - Set the technical bar for connector reliability and operability: SLAs, observability, error-rate monitoring, and incident response for an always-on, high-fan-out integration surface. - Partner with product and AI teams to define clear connector interfaces and integration patterns so new agent capabilities can reliably build on the shared platform. QUALIFICATIONS - Experience designing and building backend systems that run in production (typically 4+ years for mid-level, more for senior and staff). - Strong system design skills, with a track record of building efficient, reliable, and scalable architectures, ideally including API integration, gateway, or platform-style systems with many heterogeneous downstreams. - Strong proficiency in at least one backend language such as Python, Go, or Rust, and the ability to work effectively in a multi-language environment. - Hands-on experience with modern infrastructure (for example AWS, Kubernetes, and related cloud technologies). - Depth in at least one of: OAuth and authorization protocols, API/connector or MCP-server development, schema and semantic modeling, or building tooling and evaluation for LLM-based agents. - Comfort working in security-sensitive areas (auth, authorization, credential isolation) and making pragmatic trade-offs between safety, simplicity, and velocity. - Collaborative mindset and eagerness to solve hard, ambiguous problems alongside other experienced engineers. If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.

By applying to this role, you will be considered for engineering roles across all teams at Perplexity. WE ARE HIRING BUILDERS TO JOIN OUR HIGHLY LEVERAGED ENGINEERING TEAM FOR CREATING NEW PRODUCTS THAT INNOVATE AND ACCELERATE HUMAN PRODUCTIVITY In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. As an engineer at Perplexity, your role will be to build products and systems that define how AI empowers humans to think, decide and act. You’ll ship fast and work between product, infrastructure and frontier level advancements in technology. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own product and platform systems for Computer - Lead features, projects and products end-to-end, from problem definition to technical design, implementation, and launch. - Hill climb on hard problems, continuously iterating to improve for ourselves and customers. - Partner closely with engineers, product managers, designers, data scientists, and go-to-market teams. - Build systems that take into account the nuances of AI, working with agents, context, evaluation, personalization and the ground truth. QUALIFICATIONS - 4+ years of professional software engineering experience. - Strong experience in at least one general-purpose programming language such as Python, Go, TypeScript, JavaScript, Swift, Rust, Java, or C++. - Experience building and operating production systems at a meaningful scale. - Strong product judgment and the ability to translate user problems into simple, effective technical solutions. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - Experience with LLMs, agents, retrieval systems, personalization, or evaluation frameworks. - Time spent at a fast-growing startup or on a high-ownership engineering team. - Founded a company or initiative. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Perplexity is seeking a highly skilled, experienced and hands-on Offensive Security Engineer to join our dynamic security team, taking an adversarial approach to hardening Perplexity's infrastructure, applications, and AI systems. You'll plan and execute red team operations, penetration tests, and attack simulations across our cloud infrastructure, web and mobile applications, AI/ML pipeline, and corporate environment—finding real vulnerabilities before adversaries do and working directly with engineering teams to drive remediation. Responsibilities - Plan and execute red team and purple team engagements simulating advanced threat actors across cloud infrastructure (AWS, Kubernetes), endpoints, and application surfaces - Conduct continuous penetration testing of web applications, APIs, mobile clients, browser extensions, cloud infrastructure, and internal services - Assess AI/ML-specific attack surfaces including prompt injection, model exfiltration, agent abuse, tool-use exploitation, and MCP security boundaries - Develop and maintain custom offensive tooling, exploits, and automation to improve the efficiency and coverage of security testing - Perform open-scope adversary simulations that test detection and response capabilities end to end, collaborating closely with the defensive security team - Drive threat modeling sessions with engineering teams to identify and prioritize attack vectors in new features and architectures - Deliver clear, actionable findings to both technical and executive audiences; partner with engineering to validate remediations - Contribute to the security of CI/CD pipelines, supply chain integrity, and secrets management through offensive assessment - Stay current on emerging attack techniques, vulnerability research, and adversary tradecraft; bring external perspective into Perplexity's security strategy Qualifications - 5+ years of hands-on experience in offensive security, red teaming, or penetration testing - Deep technical expertise in at least two of: cloud security (AWS/GCP/Azure), web/API application security, Kubernetes and container security, macOS/Linux endpoint security, network penetration testing, or CI/CD pipeline security - Track record of discovering impactful vulnerabilities or developing novel attack techniques in production environments - Strong programming and scripting skills in Python, Go, or similar languages; comfortable writing custom tooling and exploits - Experience with industry-standard offensive tools (Burp Suite, Cobalt Strike / Sliver / Mythic, Metasploit, BloodHound, nuclei, etc.) and ability to operate beyond them - Excellent written and verbal communication; able to translate complex technical findings into clear risk narratives - Experience assessing AI/ML systems, LLM applications, or agentic workflows for security vulnerabilities - Bonus: Published security research, conference talks (DEF CON, Black Hat, BSides), CVE credits, or meaningful bug bounty contributions

ABOUT PERPLEXITY AI Perplexity is an AI-powered answer engine built to serve the world’s curiosity with fast, trustworthy answers grounded in the live web and backed by clear citations. It combines multiple leading models with real-time search to synthesize up-to-date, source-linked responses instead of traditional search results. On top of this foundation, Perplexity is rolling out Computer, a general-purpose AI worker that can use software like a human to research, build, and execute end-to-end workflows for users. ABOUT THE ROLE Perplexity is building AI systems that integrate directly into how enterprises operate. Our API Platform powers search, retrieval, and automation across structured and unstructured data, while Perplexity Computer extends this into the execution of an AI system that navigates tools, interacts with applications, and completes multi-step workflows. Together, these platforms form a new integration layer, connecting models, data, and enterprise systems into end-to-end workflows. We’re looking for Forward Deployed Engineers to work directly with customers to design and deploy these integrations in production. You’ll embed with teams, connect Perplexity into their existing stack, and build systems that automate real work. This role spans two closely connected areas: - API Platform: integrating search, retrieval, and AI capabilities into enterprise systems - Perplexity Computer: deploying agentic workflows that operate across tools, applications, and data Perplexity’s platforms are redefining how AI is integrated into enterprise operations. You’ll work on cutting-edge AI systems, building end-to-end workflows and integrations that solve real business problems at scale. This is a unique opportunity to influence both product and adoption, embed AI deeply in enterprise workflows, and shape the future of how organizations operationalize AI. KEY RESPONSIBILITIES - Design, build, and deploy end-to-end integrations between Perplexity and enterprise systems (data platforms, internal tools, SaaS applications), translating business workflows into production-grade AI systems - Work directly with customer teams to embed AI into existing processes, owning deployments from initial architecture through production rollout and ongoing optimization - Develop and operationalize integrations using APIs, event-driven architectures, and workflow orchestration, including deploying Perplexity Computer for multi-step, agent-driven workflows across tools and environments - Design and build production systems that combine retrieval, reasoning, and execution across enterprise environments, applying deep expertise in LLM capabilities, implementation patterns, and the AI stack to drive performance, security, and customer impact - Debug and resolve issues across APIs, infrastructure, and external dependencies, ensuring reliability, performance, and scalability in production - Prototype new integration patterns and build reusable architectures that accelerate adoption across customers - Partner with Sales and Product to unlock new use cases, drive expansion, and translate deployment learnings into product and platform improvements QUALIFICATIONS - 5+ years of experience in software engineering, forward deployed engineering, solutions engineering, or similar roles, with a track record of building and shipping production systems in customer-facing environments - Strong programming ability in Python (plus one of JavaScript/TypeScript, Java, etc.) with experience developing integrations, prototypes, and scalable applications - Deep experience with APIs and distributed systems, including authentication, latency optimization, and debugging across complex, multi-system environments - Production experience building LLM-powered systems, including prompt engineering, agent workflows, evaluation, and deploying AI systems at scale - Proven ability to design and implement automated, end-to-end workflows that integrate across enterprise systems and rep

Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and specialized data sources. The Answer Quality team ensures that our prompts, tools, search, and specialized datasets, combined with both frontier and in-house models, create the best possible experience for our users. As a Data Scientist/Engineer on this team, you will derive online signals from user interactions to bridge the gap between changes in answer quality and observed user behavior. RESPONSIBILITIES - Discover and validate online signals from user interactions that serve as reliable proxies for true answer quality - Design and implement novel online metrics to be tracked both in A/B testing and on product health dashboards, ensuring alignment with ground-truth evaluations - Analyze experimental results to validate these metrics, ensuring they accurately predict user satisfaction and drive product decisions - Build and maintain the data pipelines that calculate these metrics at scale, delivering actionable quality signals to Search, Product, and model training teams - Communicate findings and bring clarity through close collaboration with Product and Search teams - Operate in a small, high-impact team where your work directly shapes how Perplexity measures and improves Answer Quality QUALIFICATIONS - MS in a technical field or equivalent experience - 4+ years of experience working as a Data Scientist, Analytics Engineer, or related role - Experience working on search, recommendation, or LLM-based products, with an emphasis on designing online metrics and analyzing A/B experiments - Strong proficiency in Python and SQL (expected to write production-grade code) - Deep knowledge of statistical analysis - Experience with Business Intelligence (BI) tools for visualization and reporting - Comfortable with agentic coding workflows and using AI-assisted development tools to iterate faster PREFERRED QUALIFICATIONS - Proficiency with Apache Spark and Databricks - Experience with the development or validation of LLM-as-a-judge systems - Prior work supporting customer-facing products at scale

Perplexity is an AI-powered answer engine used to solve billions of queries every month. We build accurate, trustworthy AI that powers decision-making for curious people and organizations worldwide. We are looking for an experienced Enterprise Customer Support Specialist who can marry deep product expertise with a passion for scaling world-class support through automation. You will be the primary advocate for our Enterprise Pro customers, helping them maximize value, troubleshooting complex issues, and feeding their insights straight into future product development. RESPONSIBILITIES - Work directly with enterprise customers—via tickets, Slack, and sometimes calls—to diagnose and resolve their most complex technical and product questions, acting as the “last line of defense” before Product and Engineering step in. - Leverage Perplexity’s own AI tooling and workflow automations to democratize world-class support at scale, continuously identifying opportunities to replace repetitive tasks with agentic, self-service solutions that feel personalized. - Build durable relationships with Enterprise users, advising on best practices, capturing structured feedback, and championing customer needs in roadmap discussions. - Own end-to-end troubleshooting: reproduce issues, isolate root causes, collaborate with engineers, and communicate clear, low-jargon explanations. - Design and maintain detailed use-case flows, playbooks, and internal runbooks that empower teammates and customers to solve recurring challenges faster. - Create and update external documentation (FAQs, help center, guides, tutorials) and internal knowledge bases to ensure information is discoverable and up-to-date. - Track and report support KPIs (response time, CSAT, resolution rates) and propose data-driven process improvements. - Participate in an on-call rotation—including some holidays or weekends—to guarantee timely global coverage. REQUIREMENTS - Minimum 3+ years in B2B enterprise customer support with exposure to U.S. and E.U. markets, or similar fast-paced tech environments. - Hands-on experience prompting large-language models, plus a solid grasp of AI fundamentals (tokens, context windows, embeddings, latency vs. cost trade-offs, etc.). - Ability to translate complex technical concepts—APIs, SSO/SAML, cloud integrations—into clear, actionable guidance for non-technical stakeholders. - Demonstrated strength in critical thinking, rapid context-switching, and ruthless prioritization when juggling multiple escalations1 https://openai.com/careers/ai-technical-support-specialist/. - Proficiency with modern support platforms (Intercom, Zendesk, Jira) and basic data-analysis tools (e.g., SQL, Looker, Snowflake). - Exceptional written and spoken English; business-level fluency in at least one additional language such as Spanish, French, or German is strongly preferred. - Passion for continuous learning, high ownership, and a “do-what-it-takes” mindset in ambiguous situations. BONUS POINTS - Prior experience supporting AI, search, or knowledge-management products. - Familiarity with payment platforms (Stripe), enterprise identity (SSO/OAuth), and API integrations. - Knowledge of enterprise cloud-storage ecosystems (Google Drive, SharePoint, Dropbox) and data-governance best practices. WHY PERPLEXITY? - Impact at Scale – Your work directly influences hundreds of enterprise clients and millions of end-users at an unprecedented scale to encourage personalized support - Velocity & Ownership – Ship improvements quickly in a culture that values curiosity, speed, and quality - Cutting-Edge Tech – Operate at the forefront of applied LLMs and help invent how AI can redefine customer support itself.

Perplexity is an AI-powered answer engine used to solve billions of queries every month. We build accurate, trustworthy AI that powers decision-making for curious people and organizations worldwide. As we scale across Asia-Pacific, we are investing in a regional team that can deliver the same world-class experience our Enterprise Pro customers expect, in their language, in their time zone, and to their service standards. The Perplexity APAC team is the frontline for delivering Perplexity AI's industry-leading search capabilities to enterprise clients and individual users across Asia-Pacific markets. The team partners closely with Product, Engineering, Localization, and Technical Success to resolve complex technical issues while adapting our global support and success frameworks to regional expectations. This is a hybrid Customer Success and Enterprise Support role. You will own a book of Japan-headquartered Enterprise accounts end to end — onboarding, adoption, retention, and growth — while also serving as the senior technical escalation point for APAC support. Responsibilities Customer Success & Growth - Execute the Enterprise customer success strategy in APAC, serving as the primary point of contact for key APAC-based enterprise clients. - Drive initial enablement through high-quality onboarding and training, then define and run a targeted, goal-based engagement plan aligned with each customer's objectives. - Identify and support opportunities for expansion; partner with sales to translate customer insights into actionable growth strategies. - Manage retention by quantifying value delivered, monitoring health, and acting early on risk. - Generate customer insights by understanding the competitive landscape and the end-to-end customer journey — goals, behaviors, and pain points — across distinct APAC markets. - Build durable executive relationships and engage with stakeholders from individual contributors to C-level. - Engage cross-functionally with Product, Engineering, Localization, Sales, and Marketing to drive projects and influence decisions that enable delivery of your customer strategy. Enterprise Support Execution - Work directly with enterprise customers via tickets, Slack, and calls to diagnose and resolve the most complex technical and product questions — the "last line of defense" before Product and Engineering step in. - Own end-to-end troubleshooting: reproduce issues, isolate root causes, collaborate with engineers, and communicate clear, low-jargon explanations in Japanese and English. - Anticipate customer issues, orchestrate timely resolutions, and act as the regional escalation point for complex problems. - Leverage Perplexity's own AI tooling and workflow automations to scale world-class support, continuously replacing repetitive tasks with agentic, self-service solutions that still feel personalized. - Localize 15+ knowledge base articles at launch, maintaining terminology consistency with product UI localization. Qualifications Required - Fluency in English and Japanese is a must; technical writing proficiency in Japanese. Business or fluent-level Korean or Mandarin Chinese is preferred. - 3+ years in B2B/SaaS customer support, ideally as a senior or escalation engineer providing timely, accurate support to end users. - 3+ years in customer-facing roles (Customer Success, Account Management, or equivalent) with a proven ability to engage stakeholders at both project and senior management levels. - Proven track record of driving enterprise-level satisfaction, growth, and retention; creative problem-solving in a fast-paced environment. - Strong customer orientation with the ability to interact effectively with both software engineers and business decision-makers. - Hands-on experience prompting large language models and a solid grasp of AI fundamentals (tokens, context windows, embeddings, latency vs. cost trade-offs). - Ability to translate complex technical concepts — APIs, SSO/SAML, cloud integrations —

Perplexity is seeking energetic engineers to join our highly driven Agents engineering team. The Agents team consists of backend, full-stack, and AI/ML engineers who collaborate to build delightful agentic experiences within our Comet ecosystem https://www.perplexity.ai/comet and Perplexity Computer https://www.perplexity.ai/computer, our platform for generalized frontier intelligence. Our vision is to empower our users with AI agents that can faithfully actualize their intent, however and wherever expressed, through open-ended interactions with the world. As an engineer on our Agents team, you will bring AI expertise, sharp product intuition, and a tinkerer's mindset to advance the frontier of what agents can accomplish for our millions of devoted users. You will work across applied research and engineering to solve many open problems in AI, including: - Designing AI agents to navigate the digital world and perform increasingly valuable units of work for our users; - Training action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives; - Providing consistently excellent experiences across desktop, mobile, headless cloud, and other environments through flexible abstractions and frictionless backgrounding; - Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities; - Designing optimal data representations and modes of interaction between agents and their environments; - and much, much more. RESPONSIBILITIES - Drive cutting-edge AI capabilities across multiple layers of a rapidly growing product in the AI agents space. - Develop and leverage cutting-edge AI models, infrastructure, and browser technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase. - Ensure a high craft and quality bar, in both AI agent performance and user experience. - Collaborate with fellow engineers, designers, product managers, data scientists, and others across the company to integrate core Perplexity functionality into our frontier agentic products and vice-versa. - Contribute to product reliability, code quality, AI evaluation, testing, and maintenance across the broader team. QUALIFICATIONS - Strong foundational familiarity with the full AI product stack. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - Significant experience in at least one of the following areas: - Context engineering and tool interfaces for frontier AI models - Post-training and reinforcement learning (particularly for multimodal models) - Browser technologies (CDP, Playwright, extension development, etc.) - Strong product intuition and taste for user experience excellence. - Comfortable working with a small, fast-moving team, must be willing to dive in and take ownership. - A passion for shipping products that surprise and delight.

Perplexity is revolutionizing how companies get work done. We are seeking a Product Marketing Manager to join our team and serve as the strategic bridge between our product reality and market impact. You will architect the external narrative of our products and amplify their value to inspire adoption and drive growth. If you have a passion for creating clarity when things are messy, thrive in turning ambiguity into a definitive point of view, and want to build a world-class marketing engine that drives launches as systems rather than events, this role is for you. RESPONSIBILITIES - Turn ambiguity into clarity. Transform complex product capabilities into a crisp market point of view, defining not just what we built, but who it’s for, what it replaces, and why it wins. - Drive launches as a system, not an event. Orchestrate product introductions by defining success metrics and sequencing readiness across teams, ensuring enablement and proof points land simultaneously with the launch. - Make others materially better at their jobs. Equip customer-facing teams with "talk tracks that close," handling objections and providing competitive intelligence that reflects the actual battlefield. - Obsess over the customer and the market. Maintain a sharp, real-time view of buyer needs and alternatives, ensuring our narrative remains grounded in truth and provable value rather than empty hype. - Measure outcomes, not just outputs. Tie messaging and launches to tangible pipeline influence, activation, and retention, running lightweight experiments to iterate fast on pricing, packaging, and positioning. - Influence without authority. Lead through alignment by pre-wiring decisions, surfacing risks early, and managing trade-offs to keep product, sales, and marketing moving in lockstep. QUALIFICATIONS - 8+ years of experience in product marketing, ideally within a high-growth technology company where you have owned end-to-end product launches. - Proven track record of synthesizing complex technical concepts into simple, specific, and provable narratives that travel across executive, sales, and partner teams. - Deep familiarity with the rules of traditional marketing with an interest in breaking them. - World-class storytelling skills grounded in data, with the ability to summarize a product’s value in a single sentence and defend it with evidence. - Extreme comfort delivering clarity in high-velocity, ambiguous environments.

ABOUT THE ROLE We're looking for a Senior Motion Designer to own motion graphics and GTM video output across Perplexity's social channels. Video is one of our most important channels for telling the Perplexity story, and we want someone whose primary focus is producing a steady stream of high-quality, on-brand motion work that performs. This is a video-production-first role. You'll spend most of your time concepting, animating, and shipping GTM materials for social — fast, polished, and distinctly Perplexity. In a secondary capacity, you'll help define our motion principles and contribute to broader creative technologist work as our motion practice matures. You'll report into the Brand/Creative Studio team and work closely with Brand, Growth, Comms, and the Producer to keep the pipeline moving. WHAT YOU'LL DO - Own the creation of motion graphics and video content for our social channels — concepting, storyboarding, animating, and delivering GTM materials end-to-end - Make video production your primary focus: a consistent, high-volume output of polished, on-brand motion work - Bring ideas to life across 2D and (where relevant) 3D, from styleframes and animatics to final delivery - Partner with Brand and Growth to turn launches and campaigns into motion that lands on social - Contribute to Perplexity's motion principles, systems, and templates so motion scales consistently across the team (secondary focus) - Contribute to broader creative technologist explorations — new tools, techniques, and AI-assisted workflows (secondary focus) - Collaborate with the Producer on scoping, scheduling, and delivering work on time WHAT WE'RE LOOKING FOR - Senior-level experience in motion graphics and animation, with video production as your core craft - A strong portfolio of expressive motion work — especially social, campaign, and GTM content that demonstrates range and polish - Deep command of animation fundamentals: timing, spacing, composition, visual rhythm, and design sensibility - Expert proficiency in After Effects and the broader Adobe Creative Suite; comfort in Figma - Ability to work fast, manage multiple deliverables, and iterate quickly in a high-output environment - A strong sense of when motion adds clarity or emotion — and when a still is the better choice NICE TO HAVE - Experience developing motion principles, systems, or toolkits that scale across a team - Comfort across 2D and 3D, plus compositing, post-production, and optimization for different social platforms - Creative technologist instincts — building or experimenting with tools and AI-assisted motion workflows - Graphic design fluency (layout, hierarchy, type) sufficient to build and adapt assets directly

PERPLEXITY IS LOOKING FOR A DYNAMIC AND ANALYTICAL INDIVIDUAL TO JOIN OUR STRATEGIC FINANCE TEAM TO HELP OWN OUR CORE FINANCIAL MODELS AND ANALYSIS, DEVELOP PLANNING PROCESSES, AND BE THE GO-TO EXPERT ON ALL THINGS RELATED TO OUR FINANCIAL AND OPERATIONAL PROJECTIONS. ABOUT THE OPPORTUNITY: This role will have a variety of responsibilities but we’re seeking a sharp, creative individual to join our Strategic Finance team to own the core financial responsibilities. You’ll work closely with the business, finance, product, and engineering teams to help ensure our corporate financial models accurately reflect the state of the business and goals. The ideal candidate combines strong financial rigor with intellectual curiosity about AI technology, bias for action, and creativity in problem solving. RESPONSIBILITIES: - Develop and own core financial models used for strategic planning and decision-making, including aggregating projections and feedback across all major teams in the organization - Develop and maintain analysis and projections related to various aspects of the business, ranging from headcount planning, growth, infrastructure costs, and more - Lead various special projects required by C-suite and VPs related to corporate finance and accounting - Help develop and build scalable processes and well-defined metrics that are used by leadership and key teams to determine the state of the business - Independently identify areas within the organization that need analytical support and use analysis to drive clarity in critical decision-making WHAT YOU’LL BRING: - At least 4+ years of strategic finance / FP&A role at another growth-stage startup - At least 2 years of banking experience at a top-tier firm - Experience in building financial analysis and planning and implementing various processes to improve visibility across spend, budgeting, and procurement - Strong financial acumen and ability to work cross-functionally across various engineering, product, growth, and operations teams - Ability to take ownership and execute on ambiguous tasks with first principles mindset - Comfortable working in a fast-paced, dynamic environment

At Perplexity AI, we are building products that push the boundaries of how people find, reason, and learn information. The scale and speed of our mission demand a team that thrives in environments of rapid iteration and constant discovery. As a Technical Sourcer, you will be at the forefront of shaping the talent foundation that fuels our growth. This is not a traditional sourcing role. We are looking for a builder with strong technical grounding, a genuine passion for the craft of sourcing, and the ability to operate with creativity and precision in an environment where constant change and ambiguity is the norm. You will partner closely with recruiters, hiring managers, and engineers to identify, engage, and inspire world-class talent, helping build a team capable of solving some of the most challenging problems in AI today. Just as importantly, you will use AI to automate and augment your own workflow, treating sourcing as a system to be engineered rather than a set of manual tasks. WHAT YOU'LL DO - Research, identify, and engage engineering and technical talent across multiple disciplines and experience levels - Collaborate with recruiters and hiring teams to deeply understand technical requirements and calibrate profiles with accuracy and nuance - Use a wide range of sourcing strategies, including advanced research, talent mapping, referrals, AI-assisted automation, and creative outreach, to build strong candidate pipelines. - Build and refine your own tooling and workflows, leveraging AI to automate repetitive work and spend more of your time on high-judgment sourcing - Act as a candidate's first introduction to Perplexity AI, delivering an authentic and compelling story about our mission, product, and team culture - Track and analyze pipeline data to drive continuous optimization and improvements in sourcing approaches - Operate with agility, adapting quickly to shifting priorities, hard-to-fill roles, and changing team needs WHAT YOU BRING - A strong desire to grow a career in sourcing, with clear dedication to advancing your craft and developing deep expertise in the field - Exceptional technical literacy, comfortable navigating complex technical conversations, parsing nuanced skill sets, and understanding the architecture of software and AI roles - Proven experience sourcing talent in highly dynamic and fast-paced environments where priorities shift and ambiguity is constant - A builder's instinct for AI: eager to adopt new tools, automate your own workflow, and experiment with how AI can make sourcing faster and sharper - Creativity and resilience: the ability to design novel sourcing strategies, test new methods, and adapt quickly when faced with challenges - Excellent communication skills, with the ability to build trust and develop relationships with both candidates and internal partner teams - A mindset that thrives on curiosity, iteration, and impact, aligned with Perplexity AI's ethos of building what has never been built before

ABOUT THE ROLE We are seeking an experienced GTM Recruiter to partner closely with our Head of Sales and drive a best-in-class hiring experience across our go-to-market org. The ideal candidate will have a proven track record as a full-cycle GTM recruiter in high-growth environments, with deep experience hiring Account Executives, Customer Success Managers, Support, and the broader sales team. Success in this role requires strong stakeholder management skills, creative AI-augmented sourcing strategies, and the ability to deliver high-quality hires in a fast-paced startup setting. Beyond the expected; this role requires both a superior level of operational wizardry; and a mastery of storytelling, steeped in a comprehensive understanding of the AI market and the GTM talent landscape. You won't just keep pace with how AI is reshaping recruiting, you'll be the one putting those tools to work, using them to find signal others miss and to move faster than the market. WHAT YOU'LL DO - Own full-cycle recruiting in support of our Head of Sales, Enterprise AEs, sales leadership hires, and adjacent GTM roles as needed - Serve as the Head of Sales' trusted talent partner: weekly syncs, candid pipeline reviews, honest reads on candidates and on the market - Develop and execute innovative sourcing strategies, leveraging AI tools to surface, engage, and attract top GTM talent at scale - Articulate Perplexity's mission, product, and trajectory in a way that wins candidates against competing offers from later-stage companies - Negotiate and close with precision in a market where every strong candidate has competing offers on the table - Analyze recruiting metrics and refine processes, using AI to turn data into faster, smarter hiring decisions - Stay ahead of industry trends, emerging AI recruiting tools, and best practices in GTM recruiting WHAT YOU BRING - 7+ years of full-cycle GTM recruiting experience, with deep Enterprise Sales hiring under your belt - Experience working at a high-growth startup - Track record of being the go-to recruiter for a sales leader, someone who trusted you with their most important hires - Hands-on experience using AI tools to enhance sourcing, screening, or candidate engagement - Fluency with varied ATSs (Ashby preferred) - Strong analytical and data-driven decision-making skills - Proactive, flexible, with excellent communication and interpersonal skills - Ability to thrive in a fast-paced, rapidly changing environment

Perplexity is seeking a Senior Editor to lead the quality and velocity of everything we publish. Our content spans a range of audiences, channels, and objectives. You will set the editorial bar for excellence and make every writer around you measurably better. If you treat a clunky sentence and a sprawling launch narrative as the same kind of craft, take pride in language without being precious about deadlines, and want to build a world-class editorial function from the ground up, this role is for you. Responsibilities - Own editorial quality end to end. - Reject mediocrity. - Demand clarity. Ensure accuracy. - Be Perplexity. Evolve and enforce our voice. Everything we ship should sound like we shipped it. - Be accountable. Hold objective authority in a sea of subjective opinions. - Plan and manage the editorial calendar. Run prioritization and production for a fast-moving pipeline in a high-growth environment. - Edit at every level. Player-coach plus team owner and stadium sponsor. Move fluidly from high-level editorial vision to developmental editing to line-level copy editing. Deliver feedback that makes the writing and the writer better. - Mentor, elevate, and attract excellent writers. Earn the respect of strong writers by making them stronger. - Make sense of things. Make sense to people. - Build the editorial system. Evolve and own the style guides and workflows. - Work productively across the company. Everyone wants content, and you’re the content. Qualifications - 7+ years in editing, writing, or editorial leadership, with a body of published or edited work that demonstrates exceptional command of language. - High flexibility of tone and mind. You must be able to demonstrate an ability to adapt styles and voices for different channels or audiences. - High competence throughout the editorial stack: developmental editing, copy editing, content planning, and managing production. - A demonstrated track record of mentoring writers and improving the quality of a team's output, not just your own. - Exceptional ability to learn. - Refined judgment on all matters of structure, argument, and voice - A proven eye for narrative in messy, ambiguous, or highly technical material. - Deep familiarity with the rules of grammar, style, and storytelling. - Enough experience in the bullet above that you have a clear perspective on which rules you intend to break and when. - Comfort using AI tools and the ability to articulate exactly where and how you incorporate them into your workflows. - A passion for the truth well-told.

About Perplexity Perplexity is the answer engine for the AI era. We are scaling a fast-growing enterprise business and building the operating system that runs it. Our GTM stack is modern, API-first, and Snowflake-native. We build before we buy, and we ship. The Role We are hiring a Sales Systems Engineer to own the technical layer underneath our enterprise sales motion. This person runs CPQ, account and lead scoring, data orchestration, and the integrations that connect Salesforce, Snowflake, and the rest of our GTM stack. You will be the technical owner of how deals get priced, quoted, scored, routed, and tracked. You will work directly with sales, finance, marketing ops, and product to build a system that scales from where we are now to a billion-dollar-ARR business. This is a builder role. You should be equally comfortable writing SQL in Snowflake, building Salesforce flows, configuring CPQ rules, debugging a Workato recipe, and shipping a Python script to fix a data problem before the seller notices. What You Will Own - CPQ: Quote-to-cash configuration, product catalog, pricing rules, approval workflows, discount governance, contract generation. Partner with Finance and Legal on guardrails. - Scoring: Account scoring, lead scoring, PLG activation scoring, intent signal aggregation. Build and maintain scoring models in Snowflake, push scores to Salesforce via reverse ETL. - Data orchestration: Polytomic, Hightouch, and Workato pipelines that move data across Snowflake, Salesforce, NetSuite, Apollo, Unify, and the rest of the stack. Own SLAs, monitoring, and breakage response. - Salesforce engineering: Flows, validation rules, formula fields, custom objects, Apex when needed, Lightning page configuration, permission sets, sandbox management. - Integrations: API-level integration work across our GTM tools. Build custom connectors when off-the-shelf does not cut it. - Routing and ownership: Account routing logic, opportunity assignment rules, territory management, ROE enforcement. - Reporting infrastructure: Snowflake models that power pipeline, forecast, comp, and exec reporting. Partner with Analytics on the visualization layer. What We Are Looking For - 5+ years in Sales Systems, RevOps Engineering, Salesforce engineering, or Enterprise Systems at a high-growth SaaS company - Deep Salesforce expertise: flows, formula fields, validation rules, custom objects, sharing model, Apex if needed - Hands-on CPQ experience (Salesforce CPQ, Stripe Billing, Maxio, or similar) including pricing, approvals, and quote generation - Strong SQL. You can write production-grade Snowflake queries and build dbt-style transformation logic. - Production experience with reverse ETL (Polytomic, Hightouch, Census) and iPaaS (Workato, Tray, Zapier at scale) - Comfort with REST APIs, webhooks, and scripting in Python or JavaScript - A bias for building. You have shipped custom solutions when the vendor option was wrong. - Operator mindset. You read tickets, you ship fixes, you do not need a PM to translate seller requests. Nice to Have - Familiarity with PLG-to-enterprise motion and scoring users into accounts - Experience with Apollo, Unify, Loops, Gatsby, Momentum, Floqer, or similar GTM tools - NetSuite or Metronome billing exposure - Comp plan tooling (Everstage, CaptivateIQ, QuotaPath) - Background in entity resolution, dedup, or domain enrichment How We Work - Build over buy when it earns its keep - Snowflake is the source of truth, Salesforce is the system of action - Live data over polling - Real people own accounts, never queues - Direct, fast, low-process. We delete and resend over debate. What Success Looks Like - 90 days: You own CPQ, scoring, and orchestration. Nothing breaks silently. Sellers know who to call. - 180 days: Quote-to-cash is clean. Scoring drives real routing decisions. Snowflake-Salesforce sync is boring. - 12 months: You have replaced two vendors with custom builds, shipped the next generation of our scoring system, and ma

We're looking for a dynamic, highly organized Recruiting Coordinator to help us scale our team without ever compromising on experience. This is a high-velocity role at the heart of our hiring engine. You'll keep dozens of moving parts in sync, bring order to ambiguity, and make every candidate and hiring partner feel like they're our only priority. If you thrive when the path isn't fully mapped out, move fast without dropping details, and genuinely care about how people are treated, you'll do great here. WHAT YOU'LL DO - Own the end-to-end candidate experience, making every interaction from first touch to final decision, feel seamless, human, and high-touch - Coordinate and schedule interviews across complex calendars, time zones, and competing priorities, keeping things moving at speed - Serve as a trusted partner to recruiters, interviewers, and hiring managers, anticipating needs, communicating proactively, and making their jobs easier - Operate independently in ambiguity: spot gaps, make judgment calls, and create structure where none exists yet - Identify, initiate, and drive projects that improve and scale our recruiting processes as the team grows - Manage logistics, administrative tasks, and ad-hoc recruiting support with accuracy and urgency - Continuously look for ways to raise the bar on both the external candidate experience and the internal stakeholder experience WHAT YOU BRING - 2–4 years of experience as a Recruiting Coordinator, ideally in a fast-paced or high-growth environment - Comfort operating in ambiguity. You take initiative, make decisions with incomplete information, and don't wait to be told what to do - A natural high-velocity operator who moves quickly without sacrificing accuracy or attention to detail - Exceptional organizational skills and the ability to juggle multiple priorities simultaneously without losing the thread - Strong verbal and written communication skills, with proactive, clear, and warm follow-through - Ability to work independently and collaboratively, adapting fast in a rapidly changing startup environment - Proficiency with various ATSs (Ashby preferred)

ABOUT THE ROLE The Backend Platform team is the backbone of Perplexity’s product reliability, scalability, and performance, enabling every product and AI team to build with confidence. This high‑impact group builds and maintains critical infrastructure, including backend systems for authentication, authorization, real-time data flows, service orchestration, and sandboxing, to ensure fast, reliable, and secure user experiences. By setting rigorous standards for code quality, uptime and performance, the Platform team ensures everyone at Perplexity can innovate at speed on top of a robust, well-architected foundation. KEY RESPONSIBILITIES - Lead the design and implementation of our sandboxing platform to safely execute untrusted and user‑generated code while meeting strict performance and reliability requirements. - Define and extend our RBAC and authorization primitives, ensuring they scale with new product capabilities and enterprise controls. - Own key backend services involved in authentication and encryption flows (including BYOK‑related pieces), partnering with Security and Infra on defense‑in‑depth. - Set the technical bar for backend platform design and operations, driving best practices in reliability, observability, and incident response for always‑on systems. - Partner with product and AI teams to define clear platform interfaces, SLAs, and integration patterns so new features can reliably build on shared backend capabilities. - Provide technical leadership across the backend platform area, mentoring other engineers and making long‑term architectural decisions that keep the foundation simple, secure, and evolvable. QUALIFICATIONS - Experience designing and building backend systems that run in production (typically 4+ years for mid-level, more for senior and staff). - Strong system design skills, with a track record of creating efficient, reliable, and scalable architectures. - Hands-on experience with modern infrastructure (for example AWS, Kubernetes, and related cloud technologies). - Strong proficiency in at least one backend language such as Python, Go, or Rust, and the ability to work effectively in a multi-language environment. - Collaborative mindset and eagerness to solve challenging technical problems with other experienced engineers. - Comfort working in security‑sensitive areas (auth, authorization, encryption) and making pragmatic trade-offs between safety, simplicity, and velocity. If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.

Perplexity is looking for a highly skilled Senior or Expert Systems Engineer to join our Search Core team. This role is critical to building next-generation search products and technologies. You will help drive key decisions around the architecture, design, and implementation of foundational components in our technical stack. Responsibilities - Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages - Develop streaming and batch data processing systems for search index construction in a high-load environment - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization Qualifications - 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar) - Ownership of full project lifecycle — you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production - Knowledge of Python or other scripting languages - Passion for writing clean, efficient, and scalable systems-level code - Strong knowledge of algorithms and data structures, and the ability to apply them effectively - Deep understanding of multithreading, including various approaches, challenges, and trade-offs - Experience building high-load, distributed, and hardware-adjacent services - Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning) - Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling) Preferred Qualifications - Experience developing core components of search engines, databases, or information retrieval systems - Understanding of search fundamentals: indexing, query parsing, ranking, and relevance - Experience with trading systems or other latency-sensitive real-time systems - Familiarity with cloud services, Kubernetes, and AWS infrastructure

ABOUT THE ROLE We're looking for a Web Designer to own the design of Perplexity's marketing and landing pages. You'll be the person who makes sure every page we ship looks and feels like it belongs to one of the most exciting AI products in the world — clear, beautiful, and fast. You're a great designer first and foremost, with the visual taste to set the bar for our web presence. But you also understand how modern web pages get built and maintained. As page volume grows across consumer and enterprise, a big part of this role is making our landing page system more self-serve internally: you'll create and own the design side of our CMS so the rest of the company can spin up on-brand pages without a designer in the loop every time. You'll report into the Brand/Creative Studio team and work closely with Growth, Product Marketing, Brand, and our front-end engineers. WHAT YOU'LL DO - Own the design of marketing pages, landing pages, and growth surfaces end-to-end — you're the DRI for web craft - Create and own the CMS design system: the templates, components, and patterns that let teams build on-brand pages themselves - Partner with Growth and Product Marketing to translate business goals into compelling, high-converting page designs - Work with Brand to keep visual consistency across every web touchpoint - Collaborate directly with front-end engineers to ship pages quickly and at a high quality bar, including the ongoing migration off Framer - Bring a strong point of view on layout, typography, motion, and interaction design for the web - Raise the floor on self-serve page creation so the design team can focus on the highest-craft work WHAT WE'RE LOOKING FOR - A strong portfolio of web and marketing design work — landing pages, campaign pages, product marketing sites — that shows you're a designer first - Excellent visual design skills with a clear sense of brand, typography, and composition - Hands-on experience designing within and for CMS / templating systems, and an instinct for building scalable, self-serve page systems - Experience at the intersection of brand and growth — you understand conversion without sacrificing craft - Comfort working fast and iterating in real time alongside engineers - Fluency in Figma and a solid understanding of responsive design, accessibility, and web performance - A clear opinion on what makes a great web page, and the ability to articulate why NICE TO HAVE - Front-end development knowledge (HTML, CSS, and enough JS to prototype, tweak, and ship) - Background in brand or marketing design at a consumer tech company - Familiarity with SEO fundamentals and how design decisions affect discoverability - Motion design skills for web interactions and micro-animations

ABOUT THE ROLE We're looking for a Producer to be the operational backbone of Perplexity's creative team. Our creative output is scaling fast — brand campaigns, GTM launches, shoots, partnerships — and we need someone who can run the production of all of it so our designers, motion designers, and brand leads can stay focused on the creative work. You'll be the connective tissue between creative vision and real-world execution: coordinating projects across multiple teams, managing vendors and contractors, organizing shoots, and handling the licenses and contracts that keep everything legitimate and on track. You know how to protect creative intent while keeping timelines grounded in reality. You'll report into the Brand/Creative Studio team and partner daily with Brand, Motion, Web, and our cross-functional partners in Comms, Product Marketing, and Partnerships. WHAT YOU'LL DO - Coordinate creative projects across multiple teams — owning scopes, timelines, budgets, and delivery so nothing falls through the gaps - Be the single point of contact for cross-functional partners (Comms, Product Marketing, Partnerships, Events) so requests are triaged, scoped, and delivered - Source and manage vendors, contractors, freelancers, and external agencies — negotiating, briefing, and keeping relationships strong - Organize and run shoots end-to-end: casting, location scouting, scheduling, crewing, and on-set logistics - Own licenses, contracts, releases, and rights management — keeping the team compliant and unblocked - Build and run a production workflow and intake process that keeps a fast-moving creative team organized without adding bureaucracy - Partner with post-production to make sure final assets are delivered on time and to spec - Protect the team's focus — handle the operational weight so creatives can do their best work WHAT WE'RE LOOKING FOR - Experience as a producer on an in-house creative or brand team (e.g., Brand Producer / Creative Producer), ideally at a tech or consumer software company - A track record coordinating creative projects across teams and keeping them on time, on budget, and on brand - Hands-on experience managing vendors, contractors, and agencies, including negotiating and managing contracts - Experience organizing shoots — photo and video — and handling the logistics, licensing, and releases that come with them - Strong program and project management instincts; you bring order to a fast, ambiguous environment - Excellent communication and stakeholder management — you keep a lot of people aligned without slowing them down - Fluency with creative tools and workflows (Figma, Adobe Creative Suite) and the production process from concept to delivery - Comfort working alongside strong creative leaders — this role is about enabling great creative work, not directing it NICE TO HAVE - Experience standing up production processes and intake systems from scratch - Background in both brand/campaign production and event or experiential production - A network of trusted vendors, photographers, directors, and production partners

Perplexity is seeking an Internal Communications Manager to build that function from the ground up. You will own how information moves through Perplexity. You will be responsible for what Perplexity employees think, feel, know, and do. This is a 0→1 role with executive exposure from day one. If you believe internal comms is a strategic function and want to shape how an n(1) company talks to itself, this role is for you. Responsibilities - Listen and learn across the company. Understand what’s happening, how, and why in order to make sound recommendations on what should be amplified or addressed. - Run all-hands and executive content. Planning, execution, measurement, and evolution. - Internal storytelling. Turn strategy, launches, and hard decisions into messages that bring clarity to every team. - Be the signal in noise. Cut through Slack sprawl. Establish the channels, cadences, and norms that keep a fast company informed without drowning it. - Own change management. Deliver hard and easy news with equal clarity and candor. Earn trust for the message and the messenger.. - Protect the culture. Words set the tone. Make sure ours sound like us as we grow. - Measure what matters. Perplexity is a high-velocity high-humility organization. - Partner across the company. Work with every team, brief executives directly, and earn standing as a truth-teller. Qualifications - 6+ years in internal, executive, or corporate communications, ideally inside a high-growth technology company. - A builder, not a maintainer. You've stood a function up, not just kept one running. - World-class writing and editing. You can ghostwrite for an executive, draft an all-hands, or defuse a sensitive announcement in any voice or format. - Proven change-management instincts. You've delivered complex news to a whole company and kept trust intact. - Sharp judgment under pressure. You decide fast, say the hard thing kindly, and hold the line on quality on launch day. - Comfort with executives who hold a strong vision. You can advise, challenge, and make recommendations to senior leaders without flinching. - Deep familiarity with the rules of corporate comms, and a clear point of view on which ones to break and when. - Comfort using AI tools in your workflow, and the ability to say exactly where and how you use them. - A passion for the truth well-told

ABOUT THE ROLE We're looking for a Design Director to lead Perplexity's Brand and Marketing design team. You'll manage a team of designers across brand, web, motion, and enterprise marketing — and be responsible for the quality, consistency, and creative ambition of everything the brand puts into the world. This person would focus mostly on operations, stakeholdership, and creative strategy alignment, while working alongside our Creative Director who will continue to own the visual centers and art direction of the day to day projects. You'll report to the Head of Design and work closely with Growth, Comms, Partnerships, and Product Marketing. WHAT YOU'LL DO - Lead and manage the Brand design team — currently ~8 people across brand, motion, web, enterprise marketing, and ambassadors - Own hiring, team development, and career growth for the Brand org - Own and define the long-term brand strategy, including the brand vision, narrative, and guidelines, ensuring design output aligns with overall company business objectives. - Partner with the Creative Director on maintaining visual quality and brand coherence across all touchpoints - Run the operating model for Brand's involvement in launches, campaigns, partnerships, and GTM moments - Build a production workflow that keeps up with Perplexity's speed without sacrificing craft - Be the point of contact for cross-functional partners — Comms, Product Marketing, Partnerships, Events — so requests are triaged, scoped, and delivered - Manage vendor relationships, contractors, and external agencies where needed - Help shape the brand's creative ambition as the company scales WHAT WE'RE LOOKING FOR - Experience leading a brand or marketing design team of 5+ people at a consumer tech company - Strong people management instincts — you know how to develop designers, give honest feedback, and build a team that's greater than the sum of its parts - Operational strength — you can build intake processes, manage capacity, and keep a fast-moving team organized without creating bureaucracy - Good creative taste and enough design fluency to earn the team's respect, even if you're not the one pushing pixels day-to-day - Experience partnering with comms, marketing, and GTM teams on launches and campaigns - Comfort working alongside a strong Creative Director — this role is about enabling great creative work, not competing with it

About the Team The Support team at Perplexity AI is the frontline of our user experience, dedicated to ensuring that our AI-powered search and question-answering platform delivers exceptional value to our diverse user base. We work tirelessly to understand user needs, resolve issues, and gather insights that drive product improvements. Our team collaborates closely with Product, Technical staff, and other departments to continuously enhance the user experience and maintain the high standards of our innovative AI technology. About the Role We are seeking a talented Customer Success Engineer to join our team and collaborate directly with our strategic enterprise accounts. In this role, you will be at the forefront of solving challenging technical problems faced by our customers. As a key member of our technical troubleshooting team, you will provide expert guidance to both our customers and internal teams on complex issues within our environment. Your contributions will be vital in building knowledge within the team and driving strategic initiatives for organizational and process improvements. Key Responsibilities - Become one of the foremost technical experts for our API and product offerings at Perplexity AI. - Serve as the dedicated technical resource and advocate for our most important API and product customers, providing in-depth troubleshooting assistance and educating them on optimal use of our platforms. - Partner with the Enterprise, Mobile, and API teams to resolve issues, engaging leaders internally or with customers and coordinating resources across multiple teams as needed. - Translate learnings from customer issues into scalable solutions, working with Engineering, Customer Experience and Go-To-Market teams to implement improvements and automations. - Build strong relationships with customer leaders and operators to ensure the success of their applications. Essential Qualifications - 7+ years of experience in software engineering or similar roles, with a focus on application development, tooling and automation. - Excellent proficiency in Python/NodeJS and developing scalable applications. - Good knowledge of a Cloud Service Provider (e.g. AWS) platform. - Hands-on experience in using Agentic Coding (Claude Code, Codex etc.). - Bachelor’s degree in Computer Science or a related field. - Proven ability to identify technical pain points in both our solutions and our customers’ implementations. Would be nice to have - Strong track record of building relationships with customers and cross-functional teams to drive performance improvements. - Humble attitude, eagerness to help others, and willingness to acquire new knowledge to support team and customer success. - Ability to operate with high efficiency, adeptly switch between contexts, work on multiple projects simultaneously, and prioritize effectively. - Experience building prototypes or applications using AI-powered APIs, with a deep understanding of the AI and search technology landscape. - Preference for short, deep-dive projects that involve chasing down problems and understanding diverse use cases.

Perplexity is looking for a Creator & Influencer Marketing Lead to build, own, and scale our entire creator and influencer marketing function. In this multifaceted, senior role you will define the strategy in line with our company priorities, then own the execution of massive campaigns spanning 100+ creators and multi-million-dollar budgets. You will be a storyteller with genuine taste who differentiates Perplexity's products through thoughtful, sophisticated content, paired with a performance marketing mindset that ties creator work directly to our most important business outcomes. This role is ideal for an autonomous, high-output operator who wants to own and grow an entire function and amplify Perplexity's product launch velocity. RESPONSIBILITIES - Lead Perplexity's creator and influencer marketing function end to end, from strategy through execution - Own execution of large-scale campaigns spanning 100+ creators, multiple channels, and multi-million-dollar budgets - Own creator contracting and negotiation for one-off campaigns and long term partnerships - Maximize the impact of Perplexity product launches by deploying the right creator mix, budget, and channels for each moment - Bring a performance marketing mindset to creator work, partnering with Growth to drive conversion and engagement, not just impressions - Push creators' work from good to great, providing the direction and candid feedback that elevates every piece - Review creator "builds" made with Perplexity Computer to ensure they are sophisticated, original, and effectively showcase the product’s impressive capabilities - Turn creators into a genuine community and long-term advocates through creator dinners, events, and in-person moments - Build a creative engine that extends your capacity through contractors, agencies, and usage of Perplexity Computer - Work cross-functionally with Growth, Product, Business, and Comms, acting as the connective tissue between creator marketing and the broader company QUALIFICATIONS - Minimum 5 years in creator/influencer or performance marketing, including time leading the function or building it from the ground up - Operated successfully in high-flux, high-growth environments where priorities shift quickly with the industry - Well-rounded operator who combines strategic sense, storytelling taste, and high execution velocity - Autonomous self-starter and high performer who thrives with ambiguity and builds the playbook rather than waiting for one - Track record of evaluating creator performance holistically, looking beyond impressions and engagement to tie creator work to hard business outcomes, with the analytical rigor to cut what isn't working and double down on what is - Strong creative judgment and editorial taste, with the product fluency to tell whether content and builds are genuinely sophisticated and original - Skilled, value-driven negotiator with a desire to win great deals while keeping creator relationships healthy - An existing network of creator and agency relationships, with fluency across Instagram, LinkedIn, X, and YouTube - Hands-on experience building tools / solutions with AI - Experience working with consumer technology products

WHAT YOU’LL DO Drive Revenue & Qualify Opportunities - Balance dual inbound and outbound responsibilities to drive pipeline growth - Qualify inbound enterprise prospects using BANT criteria to identify high-value opportunities for Account Executive handoff - Execute targeted outbound campaigns to penetrate specific industry verticals Strategic Outbound & Market Development - Use social selling to represent the Perplexity brand—posting, commenting, and experimenting with new formats to stay top-of-mind with prospects - Research and map accounts within assigned verticals to build comprehensive prospect lists - Develop vertical-specific messaging that resonates with industry pain points and use cases for Perplexity Enterprise - Contribute to top of funnel strategy Sales Operations & Excellence - Maintain pristine data hygiene in Salesforce, ensuring all prospect interactions and qualification criteria are documented - Respond rapidly to inbound inquiries with consultative, value-driven communication - Build and iterate on outbound sequences that drive consistent pipeline generation What You'll Need Core competencies - Exceptional communication skills: Ability to articulate complex AI/search solutions clearly via email and phone, adapting tone and technical depth to various stakeholders - Vertical expertise: Demonstrated understanding of at least one key industry (e.g., Financial Services, Healthcare, Legal, Consulting) with ability to speak to industry-specific challenges - Sales acumen: Proven ability to qualify prospects using BANT methodology while maintaining velocity in the sales cycle - Technical aptitude: Comfort discussing enterprise software, APIs, and AI capabilities at a high level - Self-starter mentality with ability to manage competing priorities (closing deals vs. qualifying for AEs) - Data-driven approach to tracking conversion rates, response times, and pipeline metrics - Intellectual curiosity about how AI and advanced search transform enterprise workflows - Ability to thrive in a fast-paced environment where processes are still being defined Nice to Haves - 9 months to two years in SaaS sales development or business development roles - Experience selling to technical and non-technical buyers - Familiarity with enterprise AI/ML solutions or search technologies - Track record of consistently achieving 100%+ of quota - Pulling data with Salesforce Reporting, SQL or Business intelligence tools - Bachelor's degree or equivalent practical experience - Experience at a high-growth technology startup

Perplexity is seeking a highly motivated and skilled Demand Generation Lead to join our GTM team. This is a high-impact, high-autonomy role. You’ll own Perplexity’s demand generation engine for our enterprise and business products, partnering closely with Sales, Product Marketing, and Revenue Operations to accelerate pipeline and revenue growth. If you’re the kind of marketer who builds their own tools, automates ruthlessly, and treats every campaign as an experiment—this role was written for you. RESPONSIBILITES - Own Perplexity’s end-to-end demand generation strategy with direct accountability for enterprise top of funnel growth and downstream conversion to revenue. - Architect and operate a modern demand engine using AI-native tooling—programmatic outbound, AI-personalized sequences, intent-based targeting, and automated workflows—that generates qualified pipeline at scale. We don’t buy, we build. - Design and execute multi-channel campaigns across paid, organic, ABM, events, partnerships, and emerging channels, continuously testing new motions, killing what doesn’t work, and doubling down on incremental impact. - Develop segmentation and targeting strategies for priority enterprise buyer personas, including IT leaders, executives, developers, and AI decision-makers. - Partner with Product Marketing, Sales, and Revenue Operations to own and continuously improve the marketing-to-sales funnel. WHAT WE’RE LOOKING FOR: - 5+ years building and scaling multiple growth channels at a fast paced startup with a proven track record of revenue growth - Experience and deep interest in building homegrown AI-driven outbound engines, programmatic personalization, and rapid experimentation platforms to scale yourself. - Analytically rigorous: You are deeply data-driven, comfortable in SQL, attribution measurement, and BI tools like Looker, Omni, Hex, and Tableau. You build your own dashboards, define your own metrics, and make decisions based on evidence, not intuition. - Thrives in ambiguity: You operate independently with urgency and ownership in fast-paced, early-stage environments where processes are still being defined.

Perplexity is seeking a highly motivated and skilled Commercial Account Executive to join our small but mighty Enterprise team. In this role, you will be responsible for driving new business growth across small and mid-sized organizations, converting product-led demand into committed Enterprise relationships, and building Perplexity's footprint across thousands of high-potential accounts. This role is ideal for proactive sales professionals who thrive at the intersection of technology and business, and who want to help shape Perplexity's commercial motion from the ground up. RESPONSIBILITIES - Drive new business by prospecting, pitching, and closing Perplexity Enterprise solutions with small and mid-sized organizations - Convert existing self-serve customers into Enterprise relationships, and land net-new logos through outbound, inbound, and product-led signals - Diligently research prospects, develop account strategies, and execute outreach campaigns tailored to company and industry needs - Conduct high-impact product demonstrations and respond to technical inquiries across Perplexity's full product suite - Lead client engagement through the entire sales cycle, from initial presentation, technical evaluation, negotiation, to closing and onboarding - Quickly diagnose account potential, qualify in and out with discipline, and partner with Enterprise AEs when an account warrants a larger motion - Collaborate closely with Product, Marketing, and Customer Success to ensure customer satisfaction and solution fit - Maintain up-to-date knowledge of Perplexity's platform, industry trends, and competitor landscape - Meet or exceed individual and team revenue, logo, and activity targets on a monthly and quarterly basis - Maintain accurate records of pipeline and account activity using CRM tools QUALIFICATIONS - Full-cycle SaaS sales experience with a strong track record of closing new business - Proven record of meeting or exceeding revenue targets in a high-growth environment - Skilled at running efficient sales cycles and tailoring messaging to different buyer personas and decision makers - Proven success outbound prospecting into small and mid-sized organizations - Exceptional written and verbal communication; comfortable presenting to executives and technical buyers - Adept at identifying client pain points and mapping solutions that drive business value - Ability to collaborate effectively with both cross-functional teams and technical stakeholders - Experience with CRM systems (e.g. Salesforce) - Bachelor's degree or equivalent experience

ABOUT THE ROLE The Cloud Infrastructure team owns the foundational cloud primitives and deployment models that power Perplexity's products, from multi-tenant public cloud to single-tenant and on-premises solutions for enterprise customers. As Perplexity grows its Computer and Enterprise products, this team builds and operates the security, isolation, and compliance layers that customers depend on. We provide the deployment topologies, multi‑region infrastructure, and core services that enable Perplexity to run reliably and efficiently for both consumer traffic and large enterprises. KEY RESPONSIBILITIES - Own the roadmap and technical strategy for agent-driven cloud infrastructure management. - Design and operate Perplexity’s cloud networking fabric, including VPC architectures, private connectivity, and peering with hyperscalers and neocloud providers to support low-latency, high-throughput AI workloads. - Architect and scale compute platforms (Kubernetes/EKS, autoscaling groups, and mixed CPU/GPU fleets) to efficiently serve online request traffic and background workloads across regions. - Build and maintain secure, isolated deployment topologies for multi-tenant, single-tenant, and customer‑owned cloud (BYOC) environments, including cross-account networking, identity, and policy guardrails. - Implement and evolve multi-region strategies for availability, failover, and data locality, including traffic routing, regional capacity planning, and disaster recovery playbooks. - Partner with security to deliver enterprise controls such as BYOK/KMS integrations, network isolation, and auditability required for regulated customers. - Develop automation, tooling, and runbooks that make day‑2 operations (provisioning, upgrades, incident response) predictable and repeatable for Perplexity products across all environments. QUALIFICATIONS - Deep experience designing and operating cloud infrastructure on AWS (VPC design, routing, security groups, load balancing, private connectivity). - Strong background with Kubernetes/EKS and container orchestration, including multi‑cluster, multi‑region, or multi‑account setups. - Hands-on experience with cloud networking and peering (VPC peering, Transit Gateway, private link/service endpoints, or similar constructs in neoclouds). - Experience building or operating secure, isolated environments for enterprise customers (single‑tenant, BYOC, or on‑prem), ideally including BYOK/KMS integrations and compliance constraints. - Proficiency with infrastructure as code (Terraform) and strong software engineering skills in at least one of Python, Go, or Rust for automation and tooling. - Strong debugging and incident management skills across distributed systems (networking, compute, and platform layers), with a track record of driving root‑cause analysis and long‑term fixes. - 7+ years of industry experience building and operating production cloud infrastructure, including leading the design of complex systems or migrations. If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.

ABOUT PERPLEXITY AI Perplexity is an AI-powered answer engine built to serve the world’s curiosity with fast, trustworthy answers grounded in the live web and backed by clear citations. It combines multiple leading models with real-time search to synthesize up-to-date, source-linked responses instead of traditional search results. On top of this foundation, Perplexity is rolling out Computer, a general-purpose AI worker that can use software like a human to research, build, and execute end-to-end workflows for users. ABOUT THE ROLE Perplexity is seeking creative, AI-pilled engineers to join our Acceleration team. Our company is reshaping the way people navigate the internet and the wider world. The Acceleration team's mandate is to continually up-level the way our company and our teams operate, to deliver order-of-magnitude improvements in product and user experience. Just as Perplexity is heralding an agentic future for the internet, you will ensure that our company makes the best use of AI tools and agents to multiply the leverage of our lean, mission-focused teams. Today, Perplexity uses AI tools across everything we do, from frontend and backend engineering to applied AI research and business operations. Tomorrow’s AI technology will be even more capable, and the Acceleration team will lead both software and process engineering to harness AI so that the company can deliver at maximum velocity. The ideal candidate will possess sound technical judgment forged in the trenches of internet-scale companies, paired with voracious use of today’s most advanced AI tools/models and a capacious imagination to rethink how work gets done in the leading companies of tomorrow. They should thrive in a hybrid role that marries facets of AI product development, infrastructure/platform engineering, developer experience, and more. KEY RESPONSIBILITIES - Identify, prioritize, and execute on the highest-potential opportunities to accelerate Perplexity’s delivery cadence with frontier AI capabilities. - Develop empathy for the nuances of our technical and business teams’ work across disciplines and verticals, toward collaborating with them to harness AI in new ways. - Make our codebases, systems, and knowledge stores legible to AI. - Help the company triangulate toward the optimal point on the quality-velocity Pareto frontier, while shifting that frontier outward with AI tools and agents. - Keep abreast of new AI tools/models and make maximally effective use of them in your own work, setting an example across the company and inspiring others to do the same. - Help the company make high-conviction bets on specific technologies in situations where indecision is a comfortable and tempting default. - Work with engineering leadership, recruiting, and others to ensure we instill an AI-forward culture and select for those who will thrive in such an environment. Note: this is an extremely technical and hands-on role. Strong vision and creativity is necessary but not sufficient for success. You will be expected to build both prototypes and production systems, as well as to reengineer our codebases, infrastructure, processes, and anything else that must evolve to realize this vision. QUALIFICATIONS - 5 to 15+ years of industry experience, ideally with a substantial portion focused on infrastructure/platform engineering or developer acceleration in environments featuring significant technical complexity. - Daily use of AI models/tools, along with strong intuition on their jagged frontiers. - Proficiency with Python, along with experience and/or desire to learn more about Rust, TypeScript, Go, and other languages. - Strong understanding of (and empathy for) the work of technical staff across disciplines, along with an enthusiasm to learn about the work of business and operations teams. - Broad working knowledge of the typical stacks used by AI product & applied research companies. (For example: you don’t need to have experience hand-rolling CUDA kernels, but

Perplexity is seeking energetic researchers and engineers to join our Secure Intelligence Institute (SII), Perplexity's flagship research center for advancing security, privacy, and trust in frontier intelligence. SII’s goals are to advance frontier AI security research, translate those advances into concrete improvements in Perplexity's systems, and share knowledge and resources that strengthen the broader AI ecosystem. As a member of SII, you'll conduct original and impactful research on improving the security and privacy of frontier intelligence systems. Your goal will be to conduct research that is not only rigorous in theory, but practical enough to improve the systems people rely on every day. This work will be informed by the realities of operating general-purpose AI systems used by millions of people and thousands of enterprises, and you'll be expected to translate both your own research and advances from the broader community to practical improvements that protect and defend Perplexity's users. RESPONSIBILITIES - Develop threat models for emerging attack surfaces in AI-native products, including browser, search, and autonomous agents. - Identify and analyze security and privacy threats across AI systems, infrastructure, and user-facing products. - Develop novel defenses, mitigations, and detection mechanisms for security and privacy in AI-native products. - Build security evaluation frameworks, benchmarks, and datasets to measure the effectiveness of different defense mechanisms. - Partner with Perplexity’s Security Engineering team to translate state of the art research into shipped security features and hardened system architectures. - Collaborate with top-tier academic and industry researchers in SII's external research network. - Publish findings at premier venues and contribute to the broader security research community. QUALIFICATIONS - Hold a PhD (or equivalent research experience) in Computer Science, Computer Engineering, or a related field, with a primary focus on security and/or privacy. - Experience publishing at top security conferences (IEEE S&P, USENIX Security, ACM CCS, NDSS) demonstrating original, impactful research contributions. - Deep expertise in one or more of: security of agentic systems, systems security, web and applications security, program analysis, and software security. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - Ability to operate with high independence, willing to dive in and take ownership, and comfortable in a fast-paced environment where research directly informs product. - Clear and concise communcation, translating complex attack narratives into actionable insights for engineering and leadership.

ABOUT THE ROLE We're looking for a Model Behavior Architect to help build Perplexity's AI products and evaluations. You'll sit within our AI team and collaborate closely with research and product teams, designing prompt and context engineering strategies to deliver high quality user experiences across multiple domains and models. This role is equal parts craft and science. You'll develop a deep understanding of our answer engine by pressure-testing model capabilities and working across our AI infrastructure (including system and tool prompts, skills, and evaluations) to create a stellar product experience for our users. You'll serve as a go-to expert on prompting, model quality, and behavioral consistency across new product features and model releases. KEY RESPONSIBILITIES - Context Engineering: Design, test, and optimize context strategies and system prompts that shape answer engine behavior across products, features, and use cases. - Evaluation Systems: Build automated and semi-automated evaluation pipelines that measure model quality, catch regressions, and scale across product surfaces. - Model Launch Support: Partner with research and engineering to validate model behavior before and during rollouts, ensuring smooth transitions with no degradation. - Research & Analysis: Identify inconsistencies and failure modes in model outputs through well-designed research projects — for both internal and production-facing systems. - Cross-functional Collaboration: Work closely with design, product, and research teams to translate product goals into concrete model behavior requirements. - Knowledge Sharing: Help engineers across teams build intuition for prompt design, context engineering, and evaluation best practices. - Staying Current: Track the latest alignment, evaluation, and prompting techniques from industry and academia, and bring the best ideas back to the team. WHAT WE'RE LOOKING FOR REQUIRED - Experience designing evaluations, benchmarks, or metrics for AI systems. - Strong written and verbal communication skills, particularly in explaining complex concepts to diverse stakeholders. - Ability to manage multiple concurrent projects in a fast-moving environment. - Strong experience with Perplexity or other frontier AI models in production settings. - Demonstrated experience with Python — you'll prototype, debug, automate, and build systems at scale. - 3+ years of experience working with LLMs in a product or research setting. PREFERRED - Experience with A/B testing or experimentation frameworks. - Track record of improving AI system performance through systematic evaluation and iteration. THIS ROLE MAY BE A GREAT FIT FOR YOU IF YOU - Get excited about edge cases in model behavior and love digging into how an answer could be better. - Enjoy turning qualitative "this feels off" intuitions into quantitative metrics and systematic fixes. - Want to work at the intersection of research and product, where your work ships to real users same-day. - Are comfortable with ambiguity and can define what "good" looks like for novel AI features. - Have a hacker spirit — you'd rather build a quick prototype to test a hypothesis than debate it in a doc. - Care deeply about making AI more reliable and useful for our users.

Perplexity is hiring builders to join our Multimodal AI group, an industry-leading team defining the next generation of human-AI interaction. Our team is creating experiences that move beyond the touch interface, allowing people to communicate with AI through the form factors that best meet their needs. These include through voice, images, video, or new modalities we have yet to invent. As an engineer on the Multimodal AI team, you will work across the stack to build the product experiences and platform systems that make this possible across our applications. Our stack spans immersive UIs, realtime audio processing, evaluation systems, backend infrastructure, and supporting libraries and SDKs. We’ll work with you to match your strengths and interests to the areas where you can drive the most impact, while collaborating as a team to turn ambiguous, bleeding-edge problems into reliable experiences for users. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own product and multimodal platform systems for Perplexity. - Lead features, projects and products end-to-end, from problem definition to technical design, implementation, and launch. - Hill climb on hard problems, continuously iterating to improve for ourselves and customers. - Partner closely with engineers, product managers, designers, data scientists, and go-to-market teams. - Build systems that take into account the nuances of multimodal AI. - Work closely with client verticals to integrate new features into their stack. WHAT WE'RE LOOKING FOR - Experience building and operating production systems at a meaningful scale. - Ability to work up and down the stack, from deep systems primitives to getting the pixels and prompts just right. - Strong product judgment and the ability to translate user problems into simple, effective technical solutions. - Genuine interest and adoption of multimodal AI products and willingness to learn quickly. - Ability to think through novel problems and implement companion long-term solutions that scale. NICE TO HAVE - Background including work with realtime audio or video processing. - Experience with audio stack technologies including audio processing modules (APMs), echo cancellation, noise reduction/cancellation, automatic-gain control (AGC), etc. - Experience with immersive UIs integrating with realtime data. - Some experience or familiarity with Rust or C++ OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

PERPLEXITY API PLATFORM Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers. From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry. We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike. Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between. We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds. ABOUT THIS ROLE Perplexity is seeking a strong technical leader to steer the API Platform engineering team through a rapid period of growth. Our company builds technology that reshapes how people search, reason, and interact with the world around them. Week after week, we observe increasing demand for programmatic interfaces to that technology. The API Platform engineering team is charged with designing, implementing, and scaling these interfaces. You and your team will work on an eclectic portfolio spanning distributed systems, performance optimization, agent orchestration, and frontier topics that often change with each passing month. Throughout this work, you'll prioritize great developer and agent experience alike. You'll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.). This role is ideal for seasoned engineering managers who are unusually passionate about providing the world with programmatic access to the building blocks of frontier intelligence. KEY RESPONSIBILITIES - Provide both technical and team leadership across multiple layers of our rapidly growing API business. - Design, build, and operate mission-critical APIs that provide our customers the building blocks for frontier intelligence. - Continually reimagine the customer needs of tomorrow (and the architectures to serve those needs), while faithfully serving the customer workloads of today. - Drive product reliability, code quality, AI evaluation, testing, and maintenance for the broader team. - Oversee hiring, onboarding, and mentorship for a rapidly growing team; develop rigorous interview pipelines and work closely with recruiting to source candidates. - Collaborate across teams to incorporate novel frontier capabilities into the API Platform and improve existing capabilities for API customer needs. - Track and ensure progress toward top-line business goals, in close coordination with engineering and business executives. QUALIFICATIONS - Entrepreneurial attitude; able and eager to run more than just engineering. - Proficiency in Python (bonus points for Go and/or Rust). - Strong understanding of high-traffic API design: schema evolution & versioning, idempotency, authentication patterns, rate limiting, and performance tuning. - Experience with modern AI APIs (including latency tuning, streaming, model orchestration, emerging technical standards) is a strong plus. - Strong customer empathy and product sense, ensuring the APIs you build are ergonomic, well-documented, and easy to adopt for developers and agents alike. - Strong organizational skills for managing and delivering parallel technical projects; ability to guide highly-opinionated teams in making sound tradeoffs and prioritization decisions is critical. - Experience managing engineering teams, including recruiting, growing, and retaining h

ABOUT THE ROLE The Data Platform team owns the end-to-end data lifecycle at Perplexity, from ingestion through processing, storage, and serving, powering product features, analytics, experimentation, AI workloads, and the company’s data lake. The team defines the architecture for batch and streaming systems, the orchestration and observability stack, and a self-serve data platform, while thoughtfully combining platforms such as Databricks and Snowflake with open-source technologies including Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse. In this senior/staff role, you will shape architecture, set standards, and drive the long-term technical direction of Perplexity’s data ecosystem. KEY RESPONSIBILITIES - Design and operate large-scale batch and streaming data pipelines that directly power Perplexity product features, AI training and evaluation workflows, analytics, and experimentation. - Build event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time ingestion, transformation, and delivery, alongside batch frameworks for backfills, aggregations, and offline computation. - Lead the architecture of data orchestration using tools like Airflow or Dagster, owning scheduling, dependency management, retries, SLAs, and end-to-end observability for critical data flows. - Set and enforce guarantees for data correctness, freshness, lineage, and recoverability, designing systems that handle rapid scale growth, partial failures, and evolving schemas without disrupting AI workloads or product experiences. - Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate their own pipelines with minimal friction. - Improve developer experience through better abstractions, opinionated paved paths, and standards for data modeling, testing, validation, and deployment, treating the data platform as a product used by many teams. - Drive architectural decisions across storage, compute, orchestration, and data APIs, partnering closely with product engineering and data science to align the data ecosystem with Perplexity’s roadmap. - Mentor engineers, review designs, and raise the technical bar for data infrastructure through thoughtful feedback, documentation, and hands-on collaboration. QUALIFICATIONS - 5+ years (Senior) or 8+ years (Staff) of software engineering experience. - Strong experience building production data infrastructure systems. - Hands-on experience with batch and/or streaming data processing at scale. - Deep familiarity with data orchestration systems (Airflow, Dagster, or similar). - Proficiency in Python and at least one additional backend language (Go, TypeScript, etc.). - Strong systems thinking around reliability, latency, cost, and complexity tradeoffs. - Experience supporting ML/AI workflows, training pipelines, or evaluation systems. - Familiarity with data quality, lineage, observability, and governance tooling. - Prior ownership of internal platforms used by many teams. If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.

Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and specialized data sources. The Answer Quality team ensures that our prompts, tools, search, and specialized datasets, combined with both frontier and in-house models, create the best possible experience for our users. As our product evolves, our evaluations must remain fast, accurate, and actionable. In this role, you will build the data flywheel that serves teams across Perplexity. RESPONSIBILITIES - Build the systems and pipelines that enable Search, Product, and other teams to independently access and utilize reliable eval verdicts without bottlenecks - Take ownership of the "evals-to-product" loop, autonomously determining the best way to turn raw signals into durable datasets that power decision-making across the company - Build a robust simulator pipeline capable of replaying user interactions with the product in formats legible to LLMs and VLMs, reflecting product changes as they are shipped - Maintain data trust by implementing monitoring, lineage, and quality checks, ensuring downstream consumers can rely on the results implicitly - Operate in a small, high-impact team where your work directly shapes how Perplexity measures and improves Answer Quality QUALIFICATIONS - 3+ years of software engineering experience shipping production systems - Strong proficiency in Python and SQL with the ability to write production-grade, maintainable code - Experience with big data systems including distributed compute and large-scale storage - Solid fundamentals in data modeling, system design, and debugging distributed systems - Experience with AWS and lakehouse ecosystems like Databricks or Spark - Comfortable with agentic coding workflows and using AI-assisted development tools to iterate faster PREFERRED QUALIFICATIONS - Data engineering background including pipelines, orchestration, and warehousing patterns - Familiarity with LLM/VLM interfaces, tokenization, structured formats, and multimodal payloads - Experience with evaluation platforms, experimentation systems, or machine learning infrastructure - Prior work supporting customer-facing products at scale

In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and every action an agent takes is metered, budgeted, and settled through the billing platform this role owns. Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks. As every major breakthrough in AI models creates new possibilities, the Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, define how they should appear in the product, and transform them into reliable, production grade experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation. Tech Stack: Python | Go | PostgreSQL | DynamoDB | AWS | TypeScript | React WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Investigate emerging frontier-model behaviors and identify opportunities to turn them into product capabilities. Help define how advances in reasoning, planning, memory, learning, and agent collaboration appear in the product. - Build and evolve Skills, Workflows, and Artifacts into a coherent ecosystem. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for complex real-world tasks. - Own capabilities end-to-end, from user-facing products and interfaces to backend services, evaluation, data models, and production operations. - Build scalable platform infrastructure and backend systems that power capability execution, sharing, and lifecycle management across high volume user and agent interactions. - Collaborate closely with PM, Design, Data Science, Sales, Research, to identify high-impact opportunities in both consumer and enterprise customer experiences, validate emerging capabilities, and translate complex agent behaviors into simple, reliable product experiences. - Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership. QUALIFICATIONS - Typically 8+ years of professional software engineering experience, with a track record of owning and delivering complex products or systems from conception to production. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply. - Strong full-stack engineering fundamentals, including experience building user-facing products, backend services, and scalable distributed systems that serve high traffic and large user bases. - Strong product judgment and instincts; you turn vague needs into simple, reliable systems and ship without waiting for perfect specs. - Comfort with data-informed decisions; you define the metrics and evals that prove a system works, and iterate on them. - Experience designing abstractions, platforms, or reusable systems that enable other engineers, users, or automated systems to accomplish complex tasks. - Strong execution: you can take ambiguous product needs, break them down, and

Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity. Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and complete increasingly ambitious work. Across these use cases, the Perplexity experience must feel deeply personal. Great recommendations and user understanding are central to delighting and delivering for each user. To do this, we are reimagining recommendation systems for the LLM era. Our goal is to combine the intelligence of frontier LLMs, the personalization context that comes from real product usage, and the continual learning capabilities of modern recommendation systems. We build systems that draw on past context and connected data sources to deeply understand each user's needs and recommend the actions that help them get the most out of Perplexity. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics. - Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences. - Design the decision layer that balances competing objectives to produce the best overall experience for the user. - Build the data and evaluation foundations that let these systems learn and improve with usage. - Help shape the technical direction of ranking, recommendations, and personalization at Perplexity. WHAT WE'RE LOOKING FOR - Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale. - Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation. - Experience integrating LLMs into ranking, retrieval, or personalization pipelines. - Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles. - For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects. NICE TO HAVE - Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving). - Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Perplexity is seeking a TLM (Tech Lead Manager) to lead and grow our highly driven Agents engineering team. The Agents team consists of AI/ML, backend, and full-stack engineers who collaborate to build delightful agentic experiences within our Comet ecosystem https://www.perplexity.ai/comet. Our vision is to empower our users with AI agents that can faithfully actualize their intent, however and wherever expressed, through open-ended interactions with the world. As the Agents TLM, you will bring AI expertise, sharp product intuition, and strong engineering management skills to advance the frontier of what agents can accomplish for our millions of devoted users. You will lead, grow, and support a team in solving many open problems in AI, including: - Designing AI agents to navigate the digital world and perform increasingly valuable units of work for our users; - Training action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives; - Providing consistently excellent experiences across desktop, mobile, headless cloud, and other environments through flexible abstractions and frictionless backgrounding; - Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities; - Designing optimal data representations and modes of interaction between agents and their environments; - and much, much more. RESPONSIBILITIES - Provide technical leadership across multiple layers of a rapidly growing product in the AI agents space. - Develop and leverage cutting-edge AI models, infrastructure, and browser technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase. - Exercise sharp technical & product intuition to guide the team’s system architectures and product roadmaps. - Drive product reliability, code quality, AI evaluation, testing, and maintenance for the broader team. - Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates. - Interface with the Perplexity co-founders to deliver strategic objectives that redefine what’s possible in the AI industry. QUALIFICATIONS - Strong foundational familiarity with the full AI product stack. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - Domain expertise in at least one of the following areas: - Context engineering and tool interfaces for frontier AI models - Post-training and reinforcement learning (particularly for multimodal models) - Browser technologies (CDP, Playwright, extension development, etc.) - Strong product intuition and taste for user experience excellence. - Strong background and hands-on technical experience with frontier models (the more relevant to open-world agents, the better). - Strong organizational skills for managing and delivering parallel technical projects; ability to guide highly-opinionated teams in making sound tradeoffs and prioritization decisions is critical. - Experience managing engineering teams, including recruiting, growing, and retaining high-caliber talent. - 8+ years of engineering experience, with at least 3 of those years as an engineering manager.

Perplexity is looking for a Social Media Manager to expand how Perplexity shows up online. You'll run the channels day to day, writing posts, setting strategy, scaling our accounts, and writing for leadership and the team, working closely with our Communications and marketing team, product managers, and engineers. This is a hands-on role. You'll write most of what goes out yourself. Excellent judgement and high taste are required. The role is mostly Instagram with some community initiatives like Reddit, and interacting with our developer audiences. RESPONSIBILITIES - Run social channels day to day. Maintain our brand and product accounts across all channels. This includes writing social copy, planning content, and managing engagement. - Set the social strategy. Decide and execute how we grow each account, what we post where, and how we measure it. - Scale our team accounts. Help employees post in our voice and grow our presence across platforms. - Build and moderate community. Engage on Reddit and in developer communities, and represent Perplexity where our users already are. - Adapt and ship fast. Partner with Comms and marketing, PM’s, founders, and engineers in a fast-paced launch environment. QUALIFICATIONS - 3+ years running social for a brand, ideally tech and AI. - You can write. Send us posts you wrote that performed and tell us why they worked. - Native fluency on Instagram and LinkedIn, with a track record of growing an account. - Demonstrated experience being entrusted with a brand voice - You know how to write for different audiences and platforms, and adjust the voice for each. - Comfortable in a fast launch cycle where the plan changes often NICE TO HAVE - You've run or moderated a developer or technical community. - You've written on behalf of leadership or other voices. - You follow AI closely and have opinions on how the best companies show up online.

Perplexity AI is seeking a talented Search Rust Engineer to join our rapidly growing team, driving innovation in AI-powered search experiences. As a Search Rust Engineer, your main mission will be to relentlessly optimize performance - squeezing every millisecond of latency from our search stack, while implementing robust, scalable, and reliable systems. Responsibilities: - Architect, build, and optimize ultra-low-latency search infrastructure using Rust - Profile and instrument services, continuously driving down response times at scale - Develop and maintain distributed backend components powering real-time search and retrieval - Collaborate closely with product and infrastructure teams to design systems that deliver best-in-class query performance - Apply advanced concurrency, memory management, and network programming patterns for maximum throughput - Monitor, debug, and tune production workloads to ensure reliability under demanding traffic - Contribute to code reviews and mentor peers in high-efficiency Rust development Requirements: - Deep expertise in Rust programming, especially for backend/search systems - Experience profiling and tuning high-load, low-latency distributed services - Strong understanding of systems design, Linux internals, and performance debugging - Background in cloud infrastructure - preferably AWS - and container orchestration - Track record of driving efficiency for search or data-intensive products - Ability to thrive in fast-paced environments and own critical product code - Passion for benchmarking, instrumentation, and continuous performance improvement

Perplexity is looking for an experienced Product Data Scientist to accelerate the development of advanced search technologies. You will identify robust and sensitive signals from user behavior to help us gather insights from A/B experiment data more efficiently. Responsibilities - Develop data-driven insights from user behavior to inform our product roadmap and accelerate adoption - Formulate hypotheses and validate them by designing, running, and analyzing A/B tests - Determine appropriate metrics and visualizations for tracking, and implement them in dashboards - Design new pipelines that will help to deliver better ranking quality. From discovering new signals, producing metrics and construct data labeling pipelines with human and LLM feedback Qualifications - 4+ years of experience working as a data analyst or in a related role - Experience working on search-related products, with emphasis on designing online metrics and analyzing A/B experiments - Strong Python skills (expected to write production-grade code) - Proficiency with SQL - Experience with Business Intelligence (BI) tools - Deep knowledge of statistics Preferred Qualifications - Proficiency with Apache Spark - Experience with Databricks - Experience with development of LLM-as-a-judge systems

Join Perplexity AI as a Search Golang Engineer and help architect the next generation of massively scalable, AI-powered search infrastructure. In this role, you’ll leverage Golang to design, implement, and operate backend systems that handle millions of queries with uncompromising reliability and efficiency. Responsibilities: - Build highly scalable, distributed backend services using Golang - Design, develop, and maintain search infrastructure that supports exponential traffic growth - Engineer cloud-native solutions, optimizing for horizontal scale and rapid failover - Implement robust monitoring, autoscaling, and incident recovery strategies - Collaborate with product, infra, and devops teams to maximize throughput and resilience - Drive improvements in CI/CD, automation, and operational excellence for backend systems - Mentor peers and champion scalable design principles across the organization Requirements - Significant experience developing scalable Golang services for production environments - Deep understanding of distributed systems, microservices, and cloud infrastructure (AWS preferred) - Proven track record implementing systems that scale to millions of users - Strong background in Linux performance tuning, monitoring, and debugging - Experience with CI/CD pipelines, containerization, and automation - Ability to proactively tackle scaling challenges—anticipating bottlenecks before they arise - Passion for building backend solutions that power real-time, reliable search

Perplexity is looking for an Infrastructure Engineer to join our small team revolutionizing the way people search and interact with the internet. Your passion and diligence will be critical to ensure a high quality product. This role blends infrastructure expertise with software engineering -- you'll own core systems that power our products and development workflows. Responsibilities - Build and maintain robust, scalable infrastructure to support high-performance search systems - Develop internal tools and automation to streamline developer workflows and operational efficiency - Design, deploy, and operate cloud-native systems, primarily on AWS - Improve and support CI/CD pipelines, testing infrastructure, and release processes - Debug and optimize Linux systems, containers, and backend services - Contribute directly to product codebases, working across Python, Go, and other systems languages Requirements - Strong background in cloud infrastructure (AWS preferred), systems design, and automation - Deep understanding of Linux internals, performance tuning, and debugging - Experience building or maintaining CI/CD systems and tooling - Strong Python skills and fluency in at least one systems language (Go, Rust, C/C++, or Java) - Comfort working across both infrastructure and application-level code - A proactive learner who thrives in a fast-paced, innovative environment

Perplexity is revolutionizing how companies get work done. We are seeking a Senior Manager, Executive Communications to join our team and serve as a strategic partner to our leadership. You will architect and amplify the voices of our executives to inspire our rapidly growing team. If you have a passion for shaping culture through communication, thrive in bridging the gap between leadership vision and employee engagement, and want to build a world-class communications function from 0 to 1, this role is for you. RESPONSIBILITIES - Create exceptional and strategic executive communications, including stage speeches, leadership emails, board decks, and other formats that require excellent writing and critical thinking to articulate the company vision and strategy. - Lead Perplexity's next phases of growth, managing complex information flow during high-growth, evolving and owning all-hands presentations, Slack communications, and more. - Develop a unique and authentic voice for our executives and company leaders internally and externally. - Synthesize complex AI-related topics and business strategies into clear narratives internally and externally. - Partner closely with all teams to lead change management communications, translating complex organizational updates into simple and compelling messages. QUALIFICATIONS - 7+ years of experience in executive communications, ideally within a high-growth technology company or leading communication agency. - Proven track record of supporting senior executives and managing complex change management initiatives. - World-class writing, editing, and storytelling skills with the ability to capture different executive tones. - Deep familiarity with the rules with an interest in breaking them. - Attention to detail and the ability to execute quickly in a fast-paced environment. - Extreme comfort working with senior executives, principled confrontation, and inspiring audiences in multiple formats and contexts.

Perplexity AI is looking for experienced Generalist Software Engineers to join our Perplexity and Comet application teams. Our team is reshaping knowledge work through our high-impact desktop and Comet apps. The ideal candidate should have strong programming skills and multiple years of experience shipping high-quality, production software. Our stack spans several different skillsets, including Rust, Kotlin, Swift, Typescript, Chromium and Perplexity’s core AI stack. We have found that our strongest engineers are capable of working across multiple codebases and ramping up quickly, and we expect the same high bar for candidates. Responsibilities - Work closely with product teams to implement novel mobile experiences. - Work closely with design teams to design fast and intuitive UI. - Utilize Perplexity Computer and other Agentic coding tools to accelerate development. - Collaborate with data science and machine learning teams to instrument, analyze, and improve the end-to-end experience. - Work with infrastructure and QA teams on deployment processes, including testing, release, and monitoring. Requirements - 4+ years industry experience - Experience in shipping high-quality native applications - Architecture experience in writing code understandable by both agents and humans - Deep understanding of app performance - Ability to own projects and surfaces, and to push them forward proactively

Perplexity AI is looking for experienced Generalist Software Engineers to join our Comet and Perplexity native application teams. Our team is reshaping knowledge work through our high-impact Comet and Computer native apps. The ideal candidate should have strong programming skills and multiple years of experience shipping high-quality, production software. Our stack spans several different skillsets, including Chromium, Rust, Kotlin, Swift, Typescript and Perplexity’s core AI stack. We have found that our strongest engineers are capable of working across multiple codebases and ramping up quickly, and we expect the same high bar for candidates. Responsibilities - Work closely with product teams to implement novel mobile experiences. - Work closely with design teams to design fast and intuitive UI. - Utilize Perplexity Computer and other Agentic coding tools to accelerate development. - Collaborate with data science and machine learning teams to instrument, analyze, and improve the end-to-end experience. - Work with infrastructure and QA teams on deployment processes, including testing, release, and monitoring. Requirements - 4+ years industry experience - Experience in shipping high-quality native applications - Architecture experience in writing code understandable by both agents and humans - Deep understanding of app performance - Ability to own projects and surfaces, and to push them forward proactively

We are seeking an experienced Backend Software Engineer to join our Crawler team. In this role, you will design, develop, and operate systems that ingest, process, and manage web-scale data in support of our next generation of advanced search technologies. This is a critical, high-impact engineering position, requiring expertise across both backend and frontend components of our data acquisition stack. Responsibilities - Take ownership of and lead projects focused on developing large-scale web crawlers, ingestion pipelines, and data processing systems. - Build, maintain, and optimize core backend and frontend components for crawler services, including storage, retrieval, and UI dashboards for data management. - Collaborate closely with Search and Infrastructure teams to ensure the reliable, high-quality ingestion and processing of billions of web pages. - Architect and implement fullstack features and scalable distributed systems that handle high-load and real-time data operations. - Rapidly iterate, experiment with novel approaches, and continuously enhance system performance, usability, and reliability. Qualifications - Minimum of 5 years of software development experience, with strong knowledge of data structures and algorithms in at least one of the following languages: Python, C++, Rust, or Go. - Experience with large-scale web crawlers is highly desirable. - Proven experience building, deploying, and optimizing high-load, distributed, and hardware-adjacent services. - Deep understanding of cloud infrastructure, with hands-on experience in Kubernetes (K8s) and AWS. - Demonstrated passion for writing clean, efficient, and scalable systems.

We are looking for a Workplace Operations Specialist to lead day-to-day workplace operations for our San Francisco office and support our Palo Alto office through regular onsite presence. This role will help create a welcoming, productive, safe, and engaging office experience for employees, candidates, customers, and visitors. You will partner closely with People, Finance, IT, Security, Legal, Events, Recruiting, and local office stakeholders to ensure our workplace programs and services support employee connection, operational excellence, and the company’s broader talent strategy. Our Workplace team is responsible for creating office environments that feel human, energizing, inclusive, and thoughtfully designed. We set high standards for how people experience work every day and help ensure employees feel supported, connected, and motivated throughout their careers. ABOUT US Perplexity is a San Francisco based AI “answer engine” founded in 2022 and was created to rethink how people search for and consume information. Our mission is to democratize access to knowledge by providing fast, accurate, and transparently cited answers in natural language rather than long lists of links. We are guided by a vision of making information retrieval more conversational, trustworthy, and accessible to everyone. Perplexity has expanded from a web product into browser extensions, mobile apps, and a Pro offering while positioning itself as an AI‑native alternative to traditional search. WHAT YOU’LL DO WORKPLACE STRATEGY AND EMPLOYEE EXPERIENCE - Support the development and execution of workplace programs that align with company values, employee needs, and business priorities. - Partner with Events and People teams to create in-office experiences that encourage connection, collaboration, and productivity. - Help design a consistent and engaging office experience for local employees, visiting employees, candidates, customers, and guests. - Identify opportunities to improve workplace services, office usage, employee experience, and operational efficiency. - Promote a culture of inclusion, hospitality, collaboration, and productivity across assigned office locations. OPERATIONS AND FACILITIES MANAGEMENT - Manage daily workplace operations for the San Francisco office and support the Palo Alto office through weekly visits and additional travel as needed. - Oversee core workplace services, including food and beverage, snacks, cleaning, maintenance, front desk, guest services, office supplies, and site readiness. - Partner with local office leads and vendors to maintain consistent quality, service, and maintenance standards across assigned offices. - Coordinate proactive maintenance, space planning, office repairs, and workplace improvement projects. - Help implement standardized workplace programs, policies, and practices in collaboration with internal partners and local office stakeholders. BUDGET, VENDORS, AND PROCUREMENT - Manage workplace budgets, invoice review, purchase approvals, and expense tracking in partnership with Finance. - Prepare and maintain proposals for workplace initiatives, including scope, budget, timeline, business rationale, and expected impact. - Evaluate vendor performance, negotiate service improvements, and identify cost-saving opportunities related to facilities, services, and workplace programs. - Ensure workplace expenses are accurately allocated and aligned with organizational goals. HEALTH, SAFETY, AND EMERGENCY PREPAREDNESS - Partner with internal teams to support workplace health, safety, and emergency preparedness programs. - Coordinate emergency response planning, drills, employee communications, and office-specific readiness materials. - Help ensure employees have access to relevant safety information, emergency procedures, and workplace resources. - Support compliance with applicable company policies and local workplace requirements. CROSS-FUNCTIONAL COLLABORATION - Build and maintain strong relationships with in

ABOUT THE ROLE Perplexity is seeking a hands-on Software Engineer to build and evolve the software, automations, and systems that power our security operations. This role focuses on engineering security tools and internal AI-driven agents that improve detection and response, vulnerability management, and the overall security posture of our products and infrastructure. RESPONSIBILITIES - Design, build, and maintain software and automation that improves our detection and response program, including alert enrichment, triage workflows, and investigation tooling. - Implement and enhance internal AI agents and security bots that assist with monitoring, investigations, reporting, and other security operation tasks. - Develop and operate systems and workflows that support the bug bounty and vulnerability disclosure program, including intake, triage, prioritization, and remediation tracking. - Partner with product and engineering teams to threat model new features and systems, propose mitigations, and add guardrails into designs and implementations. - Contribute to secure-by-default libraries, services, and patterns that make it easy for teams to build secure features. - Integrate security signals from cloud, endpoints, SaaS, and applications into cohesive pipelines and data models that support detection and analysis. - Build automation to reduce manual work in incident response, containment, and remediation. - Collaborate with security engineers and other software engineers to review designs and code, and to continuously improve our security tooling and platforms. QUALIFICATIONS - 4+ years of experience as a software engineer with significant time spent building security-related tools, platforms, or automations, or in a security engineering role with strong software development responsibilities. - Proficiency in at least one major programming language (such as Python, Go, or TypeScript) and experience building production services, CLIs, or internal tools. - Experience integrating with security-relevant systems such as logging pipelines, SIEMs, EDR, cloud APIs, or identity platforms. - Practical experience with threat modeling, secure design, or application security reviews for services or features. - Experience operating or contributing to bug bounty or vulnerability management programs is a plus. - Familiarity with cloud infrastructure (AWS preferred) and modern SaaS environments. - Ability to work closely with cross-functional teams, own projects end-to-end, and ship pragmatic, high-impact improvements. - Bonus: Experience designing or improving AI-powered agents or automation used for security operations.

Perplexity is seeking an experienced Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. Responsibilities - Relentlessly push search quality forward—through models, data, tools, or any other leverage available - Architect and build core components of our search platform and model stack - Train and evaluate retrieval, ranking and classification models, including LLMs - Deploy models - from boosting to LLMs - in a scalable and performant way - Build and optimize RAG pipelines for grounding and answer generation - Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery Qualifications - Deep understanding of search and retrieval systems, including quality evaluation principles and metrics - Proven track record with large-scale search or recommender systems - Self-driven, with a strong sense of ownership and execution - Minimum of 5 years of working on search or recsys-related projects

We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters RESPONSIBILITIES - Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads - Manage and optimize Slurm-based HPC environments for distributed training of large language models - Develop robust APIs and orchestration systems for both training pipelines and inference services - Implement resource scheduling and job management systems across heterogeneous compute environments - Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure - Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm - Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services - Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands QUALIFICATIONS - Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management - Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization - Experience with deploying and managing distributed training systems at scale - Deep understanding of container orchestration and distributed systems architecture - High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies) - Experience managing GPU clusters and optimizing compute resource utilization REQUIRED SKILLS - Expert-level Kubernetes administration and YAML configuration management - Proficiency with Slurm job scheduling, resource management, and cluster configuration - Python and C++ programming with focus on systems and infrastructure automation - Hands-on experience with ML frameworks such as PyTorch in distributed training contexts - Strong understanding of networking, storage, and compute resource management for ML workloads - Experience developing APIs and managing distributed systems for both batch and real-time workloads - Solid debugging and monitoring skills with expertise in observability tools for containerized environments PREFERRED SKILLS - Experience with Kubernetes operators and custom controllers for ML workloads - Advanced Slurm administration including multi-cluster federation and advanced scheduling policies - Familiarity with GPU cluster management and CUDA optimization - Experience with other ML frameworks like TensorFlow or distributed training libraries - Background in HPC environments, parallel computing, and high-performance networking - Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices - Experience with container registries, image optimization, and multi-stage builds for ML workloads REQUIRED EXPERIENCE - Demonstrated experience managing large-scale Kubernetes deployments in production environments - Proven track record with Slurm cluster administration and HPC workload management - Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure - Experience supporting both long-running training jobs and high-availability inference services - Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management

Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information. Internship program: 12 - 24 weeks, full-time, in-person in the London office. Responsibilities: - Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers. - Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models. - Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks. - Support deployment and monitoring of search and ranking models in a scalable and performant way. - Help build and iterate on RAG pipelines for grounding and answer generation. - Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML. Qualifications: - Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems. - Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects. - Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required. - Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required. - Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment - Experience with Rust will be a plus

ABOUT THE ROLE The Connector Platform team builds the data layer that lets Perplexity's agents reach into the world's software. This team owns the systems that turn hundreds of heterogeneous integrations (native, MCP, CLI, first-party, and third-party APIs) into one unified, reliable, well-typed surface that agents can call with confidence. The connector platform is the core layer that forms the knowledge layer for Computer: it is how the agent discovers what tools exist, understands what each one means, decides which to call, and grounds its reasoning in real, permissioned, up-to-date enterprise data. We maintain a knowledge layer above connectors that pushes and pulls context into them, rather than letting each connector hoard org knowledge on its own, making Computer the source of truth for institutional knowledge. Models are commoditizing; grounded, actionable, permissioned access to a customer's real systems is not. When this layer is fast, accurate, and semantically rich, every agent built on top of it gets smarter; when it is weak, no amount of model quality compensates. KEY RESPONSIBILITIES - Own the design and implementation of the connector runtime, the system that registers, hosts, and executes built-in connectors, hosted MCP servers, and CLI-backed tools behind a single agent-facing interface. - Build and extend the semantic layer: tool and entity schemas, capability metadata, relationship modeling, and the mechanisms for capturing and applying organization- and account-specific corrections and knowledge. - Design the tool-discovery and tool-selection surfaces that agents use to find the right connector and call it correctly, optimizing for both model accuracy and context efficiency. - Make agent loops robust: structured results, partial-failure and retry semantics, idempotency, pagination, rate-limit handling, and observability into every tool call an agent makes. - Define authentication, authorization, and credential-isolation patterns for connectors (OAuth flows, BYOK, per-org credential boundaries), partnering with Security and Backend Platform on defense-in-depth. - Build the connector onboarding path (schemas, fixtures, and evaluation suites) so new connectors ship with measurable quality rather than hope, and drive the eval metrics that tell us a connector actually works inside agent loops. - Set the technical bar for connector reliability and operability: SLAs, observability, error-rate monitoring, and incident response for an always-on, high-fan-out integration surface. - Partner with product and AI teams to define clear connector interfaces and integration patterns so new agent capabilities can reliably build on the shared platform. QUALIFICATIONS - Experience designing and building backend systems that run in production (typically 4+ years for mid-level, more for senior and staff). - Strong system design skills, with a track record of building efficient, reliable, and scalable architectures, ideally including API integration, gateway, or platform-style systems with many heterogeneous downstreams. - Strong proficiency in at least one backend language such as Python, Go, or Rust, and the ability to work effectively in a multi-language environment. - Hands-on experience with modern infrastructure (for example AWS, Kubernetes, and related cloud technologies). - Depth in at least one of: OAuth and authorization protocols, API/connector or MCP-server development, schema and semantic modeling, or building tooling and evaluation for LLM-based agents. - Comfort working in security-sensitive areas (auth, authorization, credential isolation) and making pragmatic trade-offs between safety, simplicity, and velocity. - Collaborative mindset and eagerness to solve hard, ambiguous problems alongside other experienced engineers. If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.

By applying to this role, you will be considered for engineering roles across all teams at Perplexity. WE ARE HIRING BUILDERS TO JOIN OUR HIGHLY LEVERAGED ENGINEERING TEAM FOR CREATING NEW PRODUCTS THAT INNOVATE AND ACCELERATE HUMAN PRODUCTIVITY In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. As an engineer at Perplexity, your role will be to build products and systems that define how AI empowers humans to think, decide and act. You’ll ship fast and work between product, infrastructure and frontier level advancements in technology. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and own product and platform systems for Computer - Lead features, projects and products end-to-end, from problem definition to technical design, implementation, and launch. - Hill climb on hard problems, continuously iterating to improve for ourselves and customers. - Partner closely with engineers, product managers, designers, data scientists, and go-to-market teams. - Build systems that take into account the nuances of AI, working with agents, context, evaluation, personalization and the ground truth. QUALIFICATIONS - 4+ years of professional software engineering experience. - Strong experience in at least one general-purpose programming language such as Python, Go, TypeScript, JavaScript, Swift, Rust, Java, or C++. - Experience building and operating production systems at a meaningful scale. - Strong product judgment and the ability to translate user problems into simple, effective technical solutions. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - Experience with LLMs, agents, retrieval systems, personalization, or evaluation frameworks. - Time spent at a fast-growing startup or on a high-ownership engineering team. - Founded a company or initiative. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Perplexity is seeking a highly skilled, experienced and hands-on Offensive Security Engineer to join our dynamic security team, taking an adversarial approach to hardening Perplexity's infrastructure, applications, and AI systems. You'll plan and execute red team operations, penetration tests, and attack simulations across our cloud infrastructure, web and mobile applications, AI/ML pipeline, and corporate environment—finding real vulnerabilities before adversaries do and working directly with engineering teams to drive remediation. Responsibilities - Plan and execute red team and purple team engagements simulating advanced threat actors across cloud infrastructure (AWS, Kubernetes), endpoints, and application surfaces - Conduct continuous penetration testing of web applications, APIs, mobile clients, browser extensions, cloud infrastructure, and internal services - Assess AI/ML-specific attack surfaces including prompt injection, model exfiltration, agent abuse, tool-use exploitation, and MCP security boundaries - Develop and maintain custom offensive tooling, exploits, and automation to improve the efficiency and coverage of security testing - Perform open-scope adversary simulations that test detection and response capabilities end to end, collaborating closely with the defensive security team - Drive threat modeling sessions with engineering teams to identify and prioritize attack vectors in new features and architectures - Deliver clear, actionable findings to both technical and executive audiences; partner with engineering to validate remediations - Contribute to the security of CI/CD pipelines, supply chain integrity, and secrets management through offensive assessment - Stay current on emerging attack techniques, vulnerability research, and adversary tradecraft; bring external perspective into Perplexity's security strategy Qualifications - 5+ years of hands-on experience in offensive security, red teaming, or penetration testing - Deep technical expertise in at least two of: cloud security (AWS/GCP/Azure), web/API application security, Kubernetes and container security, macOS/Linux endpoint security, network penetration testing, or CI/CD pipeline security - Track record of discovering impactful vulnerabilities or developing novel attack techniques in production environments - Strong programming and scripting skills in Python, Go, or similar languages; comfortable writing custom tooling and exploits - Experience with industry-standard offensive tools (Burp Suite, Cobalt Strike / Sliver / Mythic, Metasploit, BloodHound, nuclei, etc.) and ability to operate beyond them - Excellent written and verbal communication; able to translate complex technical findings into clear risk narratives - Experience assessing AI/ML systems, LLM applications, or agentic workflows for security vulnerabilities - Bonus: Published security research, conference talks (DEF CON, Black Hat, BSides), CVE credits, or meaningful bug bounty contributions

Perplexity is seeking an experienced Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. Responsibilities - Relentlessly push search quality forward—through models, data, tools, or any other leverage available - Architect and build core components of our search platform and model stack - Train and evaluate retrieval, ranking and classification models, including LLMs - Deploy models - from boosting to LLMs - in a scalable and performant way - Build and optimize RAG pipelines for grounding and answer generation - Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery Qualifications - Deep understanding of search and retrieval systems, including quality evaluation principles and metrics - Proven track record with large-scale search or recommender systems - Self-driven, with a strong sense of ownership and execution - Minimum of 5 years of working on search or recsys-related projects

Perplexity is AI for people who expect more. This role brings that same standard to how our data team works - with AI at the center of everything we do. We're looking for someone who's been a great data scientist, analytics engineer, or data engineer - the kind of person who knows which metric actually matters, who can design an A/B test that answers the real question, who's gone deep on a data model because something didn't add up - and who has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done. Not another text-to-SQL bot. Not another dashboard. You'll build AI agents that conduct full analyses autonomously - forming hypotheses, writing and running queries, interpreting results, and drafting recommendations. You'll make the entire data warehouse AI-readable so any system can query it accurately. You'll create self-healing pipelines that detect and fix data issues before anyone notices. You'll build the infrastructure that turns a small data team into one that operates at 10x its size. You'll join a data team that's already using AI across its workflows - but we know there's a much bigger opportunity ahead. We have buy-in from leadership to make it happen. Now we're building a team dedicated to taking what we've started and turning it into something world-class: scalable systems, new tools, and an AI-native way of working that doesn't just make us world-class - but pushes the entire industry forward. WHAT YOU'LL DO - Accelerate the AI-native data workflow - the team is already working this way. You'll take what's working and turn it into repeatable systems, scalable tools, and patterns that the data team and the entire company can adopt - Build AI agents that do data science - not just answer SQL questions, but conduct end-to-end analyses: explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations - Make the warehouse AI-readable - build the semantic layer, context, and retrieval infrastructure that lets any AI system (internal or product) query Perplexity's data accurately and reliably - Automate the data lifecycle - self-healing pipelines, automated dbt model generation and validation, data quality agents that detect, diagnose, and fix issues autonomously - Ship AI-powered experiment analysis - agents that interpret A/B test results, flag statistical issues, and draft ship/no-ship recommendations for product teams - Own the full lifecycle - from identifying the highest-leverage problem, to prototyping with LLMs, to iterating on accuracy and UX, to production deployment and monitoring - Turn the data team into a product team - build internal data products that stakeholders across the company actually use daily, replacing ad-hoc requests with self-serve AI interfaces WHAT WE'RE LOOKING FOR - 6-8+ years in data science, analytics engineering, or a related role - you've been in the data trenches - Strong product sense - you've worked closely with product and business teams, you understand what drives user behavior, and you have good instincts for what to measure and what to build - Deep SQL expertise - you think in SQL, you've built data models, you know your way around a warehouse - Pipeline experience - you've built and maintained data pipelines, worked with dbt, dealt with data quality issues firsthand - Enough software engineering chops to be dangerous - you can build and ship a working tool in Python, not just a notebook. You can wrangle APIs, deploy a service, write code that other people can maintain. You're not a SWE, but you're not afraid of production - Genuinely excited about AI - you've been building with LLMs on your own time. You have opinions about which models are good at what. You've tried building agents, RAG systems, or AI-powered workflows. You follow the space obsessively because you think it's going to change everything - including how data teams work - Builder mentality - you see a manual process and you can't help but automate it. You ship fast and iterate - Autonomy - this is a new function. You'll define the roadmap as much as execute it BONUS - Experience with dbt (building and maintaining production models) - Snowflake administration and optimization - You've built Slack bots, internal CLI tools, or developer productivity tools that people actually used - Background in AI agent frameworks - Experience with BI tools - you know what's worth automating because you've done the manual version - A/B testing and experimentation - you've designed experiments and analyzed results - Early-stage startup experience WHY THIS ROLE - Set the standard for the industry - the team is already using AI across its work. You'll be the one who turns that into something other data orgs look to as the benchmark - Recursive AI - Perplexity builds an AI answer engine for the world. You'll build one for the company. Few places offer this kind of alignment between the product and the work - Frontier models, day one - you're at an AI company with access to frontier infrastructure and people who deeply understand what's possible - Massive leverage - the systems you build will multiply the output of every data team member and every stakeholder who needs data - Direct impact - small team, no layers of approval. Idea to shipped system in days, not quarters

Perplexity is AI for people who expect more. This role brings that same standard to how our data team works - with AI at the center of everything we do. We're looking for someone who's been a great data scientist, analytics engineer, or data engineer - the kind of person who knows which metric actually matters, who can design an A/B test that answers the real question, who's gone deep on a data model because something didn't add up - and who has decided that the highest-leverage thing they can do next is build AI systems that fundamentally change how data science gets done. Not another text-to-SQL bot. Not another dashboard. You'll build AI agents that conduct full analyses autonomously - forming hypotheses, writing and running queries, interpreting results, and drafting recommendations. You'll make the entire data warehouse AI-readable so any system can query it accurately. You'll create self-healing pipelines that detect and fix data issues before anyone notices. You'll build the infrastructure that turns a small data team into one that operates at 10x its size. You'll join a data team that's already using AI across its workflows - but we know there's a much bigger opportunity ahead. We have buy-in from leadership to make it happen. Now we're building a team dedicated to taking what we've started and turning it into something world-class: scalable systems, new tools, and an AI-native way of working that doesn't just make us world-class - but pushes the entire industry forward. WHAT YOU'LL DO - Accelerate the AI-native data workflow - the team is already working this way. You'll take what's working and turn it into repeatable systems, scalable tools, and patterns that the data team and the entire company can adopt - Build AI agents that do data science - not just answer SQL questions, but conduct end-to-end analyses: explore data, form hypotheses, run queries, interpret results, and generate actionable recommendations - Make the warehouse AI-readable - build the semantic layer, context, and retrieval infrastructure that lets any AI system (internal or product) query Perplexity's data accurately and reliably - Automate the data lifecycle - self-healing pipelines, automated dbt model generation and validation, data quality agents that detect, diagnose, and fix issues autonomously - Ship AI-powered experiment analysis - agents that interpret A/B test results, flag statistical issues, and draft ship/no-ship recommendations for product teams - Own the full lifecycle - from identifying the highest-leverage problem, to prototyping with LLMs, to iterating on accuracy and UX, to production deployment and monitoring - Turn the data team into a product team - build internal data products that stakeholders across the company actually use daily, replacing ad-hoc requests with self-serve AI interfaces WHAT WE'RE LOOKING FOR - 6-8+ years in data science, analytics engineering, or a related role - you've been in the data trenches - Strong product sense - you've worked closely with product and business teams, you understand what drives user behavior, and you have good instincts for what to measure and what to build - Deep SQL expertise - you think in SQL, you've built data models, you know your way around a warehouse - Pipeline experience - you've built and maintained data pipelines, worked with dbt, dealt with data quality issues firsthand - Enough software engineering chops to be dangerous - you can build and ship a working tool in Python, not just a notebook. You can wrangle APIs, deploy a service, write code that other people can maintain. You're not a SWE, but you're not afraid of production - Genuinely excited about AI - you've been building with LLMs on your own time. You have opinions about which models are good at what. You've tried building agents, RAG systems, or AI-powered workflows. You follow the space obsessively because you think it's going to change everything - including how data teams work - Builder mentality - you see a manual process and you can't help but automate it. You ship fast and iterate - Autonomy - this is a new function. You'll define the roadmap as much as execute it BONUS - Experience with dbt (building and maintaining production models) - Snowflake administration and optimization - You've built Slack bots, internal CLI tools, or developer productivity tools that people actually used - Background in AI agent frameworks - Experience with BI tools - you know what's worth automating because you've done the manual version - A/B testing and experimentation - you've designed experiments and analyzed results - Early-stage startup experience WHY THIS ROLE - Set the standard for the industry - the team is already using AI across its work. You'll be the one who turns that into something other data orgs look to as the benchmark - Recursive AI - Perplexity builds an AI answer engine for the world. You'll build one for the company. Few places offer this kind of alignment between the product and the work - Frontier models, day one - you're at an AI company with access to frontier infrastructure and people who deeply understand what's possible - Massive leverage - the systems you build will multiply the output of every data team member and every stakeholder who needs data - Direct impact - small team, no layers of approval. Idea to shipped system in days, not quarters

Perplexity is revolutionizing how people discover and interact with information through AI-powered search and knowledge tools. As we expand our global footprint, we're establishing a strategic presence in London to drive innovation and growth across Europe. The Role: We're seeking an exceptional Site Lead to establish and scale our London office. This is a unique opportunity to shape Perplexity's presence in one of the world's leading tech hubs, building teams and culture from the ground up while driving technical excellence in infrastructure and AI systems. As Site Lead, you'll serve as the face of Perplexity in London, responsible for building our technical organization, fostering a world-class engineering culture, and directly managing one or more infrastructure teams. You'll report to senior leadership and work cross-functionally with teams across our global footprint. The individual in this role will manage teams in LON themselves while also facilitating. Responsibilities: Site Leadership & Culture - Establish and lead Perplexity's London office, setting the cultural foundation and operating principles - Build a collaborative, high-performance engineering culture that aligns with Perplexity's values while embracing the strengths of the London tech ecosystem - Serve as the primary point of contact for all London-based activities and represent the site in company-wide strategic discussions - Partner with People/HR, Finance, and Operations to ensure seamless site operations - Drive local community engagement, partnerships, and Perplexity's brand presence in the London and European tech community Technical Leadership: - Directly manage and mentor one or more infrastructure or AI infrastructure teams in London (5-15+ engineers) - Set technical direction and strategy for London-based infrastructure initiatives in alignment with company-wide goals - Drive architectural decisions and technical excellence across teams - Ensure robust systems for deployment, monitoring, scalability, and reliability of infrastructure supporting AI/ML workloads - Collaborate with engineering leaders globally to align on technical standards, best practices, and cross-site initiatives Team Building & Talent: - Build and scale high-performing infrastructure and AI infrastructure teams through strategic hiring - Develop and execute talent acquisition strategy for the London site in partnership with recruiting - Create career development frameworks and growth opportunities for engineers - Foster technical mentorship and knowledge sharing across teams and sites Cross-functional Collaboration: - Partner with Product, Engineering, and Research teams globally to understand infrastructure needs and deliver solutions - Coordinate with other site leads and engineering leaders to ensure effective cross-site collaboration - Contribute to company-wide infrastructure strategy and roadmap planning - Facilitate knowledge transfer and best practice sharing across global teams Qualifications: Required - 10+ years of experience in software engineering with 5+ years in infrastructure, cloud infrastructure, or AI infrastructure roles - 3+ years of people management experience, including building and scaling teams - Proven track record of establishing or significantly growing an engineering site or office - Deep technical expertise in distributed systems, cloud platforms (AWS, GCP, or Azure), and infrastructure automation - Experience with infrastructure supporting large-scale AI/ML systems, including: - GPU infrastructure and orchestration - ML training and inference pipelines - Model serving and deployment at scale - Strong understanding of modern infrastructure technologies: Kubernetes, Terraform, container orchestration, CI/CD systems - Demonstrated ability to set technical vision and drive execution across multiple teams - Excellent communication and stakeholder management skills - Experience working in fast-paced, high-growth technology companies - Passion for building inclusive, diverse, and high-performing teams Preferred - Experience at companies focused on AI/ML, search, or large-scale consumer applications - Previous experience as a site lead, office lead, or similar multi-team leadership role - Background in building infrastructure for LLM training or inference - Contributions to open-source infrastructure or AI infrastructure projects - Experience scaling teams from 0 to 20+ engineers - Active involvement in the London or European tech community - MBA or advanced technical degree What Success Looks Like: 30 Days - Deep understanding of Perplexity's infrastructure, technology stack, and organizational structure - Established relationships with key stakeholders across engineering, product, and leadership - Initial hiring plan and culture strategy for London site established - Help the Search, API, AI and Infra teams build out their hiring pipelines 90 Days - Core infrastructure team established and ramping in London - Clear technical roadmap and priorities defined for London-based teams - Site culture and operating rhythms established (team meetings, all-hands, cross-site syncs) - London office actively participating in company-wide infrastructure initiatives 1 Year - London site operating as a high-functioning hub with 15-30+ engineers - Infrastructure teams delivering measurable impact on system reliability, performance, and scalability - Strong talent brand established in London market with healthy hiring pipeline - London recognized internally as a strategic site contributing to Perplexity's technical leadership Why Join Perplexity - Ground-floor opportunity to build and lead a strategic site for a fast-growing AI company - Work on cutting-edge AI infrastructure challenges at massive scale - Shape the culture and technical direction of an entire office - Competitive compensation including equity - Comprehensive benefits package - Flexible work environment - Opportunity to make a significant impact on how millions of people access and interact with information Location: London, United Kingdom (Hybrid) Perplexity is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

ABOUT THE ROLE The Data Platform team owns the end-to-end data lifecycle at Perplexity, from ingestion through processing, storage, and serving, powering product features, analytics, experimentation, AI workloads, and the company’s data lake. The team defines the architecture for batch and streaming systems, the orchestration and observability stack, and a self-serve data platform, while thoughtfully combining platforms such as Databricks and Snowflake with open-source technologies including Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse. In this senior/staff role, you will shape architecture, set standards, and drive the long-term technical direction of Perplexity’s data ecosystem. KEY RESPONSIBILITIES - Design and operate large-scale batch and streaming data pipelines that directly power Perplexity product features, AI training and evaluation workflows, analytics, and experimentation. - Build event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time ingestion, transformation, and delivery, alongside batch frameworks for backfills, aggregations, and offline computation. - Lead the architecture of data orchestration using tools like Airflow or Dagster, owning scheduling, dependency management, retries, SLAs, and end-to-end observability for critical data flows. - Set and enforce guarantees for data correctness, freshness, lineage, and recoverability, designing systems that handle rapid scale growth, partial failures, and evolving schemas without disrupting AI workloads or product experiences. - Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate their own pipelines with minimal friction. - Improve developer experience through better abstractions, opinionated paved paths, and standards for data modeling, testing, validation, and deployment, treating the data platform as a product used by many teams. - Drive architectural decisions across storage, compute, orchestration, and data APIs, partnering closely with product engineering and data science to align the data ecosystem with Perplexity’s roadmap. - Mentor engineers, review designs, and raise the technical bar for data infrastructure through thoughtful feedback, documentation, and hands-on collaboration. QUALIFICATIONS - 5+ years (Senior) or 8+ years (Staff) of software engineering experience. - Strong experience building production data infrastructure systems. - Hands-on experience with batch and/or streaming data processing at scale. - Deep familiarity with data orchestration systems (Airflow, Dagster, or similar). - Proficiency in Python and at least one additional backend language (Go, TypeScript, etc.). - Strong systems thinking around reliability, latency, cost, and complexity tradeoffs. - Experience supporting ML/AI workflows, training pipelines, or evaluation systems. - Familiarity with data quality, lineage, observability, and governance tooling. - Prior ownership of internal platforms used by many teams. If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.

Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and specialized data sources. The Answer Quality team ensures that our prompts, tools, search, and specialized datasets, combined with both frontier and in-house models, create the best possible experience for our users. As our product evolves, our evaluations must remain fast, accurate, and actionable. In this role, you will build the data flywheel that serves teams across Perplexity. RESPONSIBILITIES - Build the systems and pipelines that enable Search, Product, and other teams to independently access and utilize reliable eval verdicts without bottlenecks - Take ownership of the "evals-to-product" loop, autonomously determining the best way to turn raw signals into durable datasets that power decision-making across the company - Build a robust simulator pipeline capable of replaying user interactions with the product in formats legible to LLMs and VLMs, reflecting product changes as they are shipped - Maintain data trust by implementing monitoring, lineage, and quality checks, ensuring downstream consumers can rely on the results implicitly - Operate in a small, high-impact team where your work directly shapes how Perplexity measures and improves Answer Quality QUALIFICATIONS - 3+ years of software engineering experience shipping production systems - Strong proficiency in Python and SQL with the ability to write production-grade, maintainable code - Experience with big data systems including distributed compute and large-scale storage - Solid fundamentals in data modeling, system design, and debugging distributed systems - Experience with AWS and lakehouse ecosystems like Databricks or Spark - Comfortable with agentic coding workflows and using AI-assisted development tools to iterate faster PREFERRED QUALIFICATIONS - Data engineering background including pipelines, orchestration, and warehousing patterns - Familiarity with LLM/VLM interfaces, tokenization, structured formats, and multimodal payloads - Experience with evaluation platforms, experimentation systems, or machine learning infrastructure - Prior work supporting customer-facing products at scale

In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and every action an agent takes is metered, budgeted, and settled through the billing platform this role owns. Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks. As every major breakthrough in AI models creates new possibilities, the Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, define how they should appear in the product, and transform them into reliable, production grade experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation. Tech Stack: Python | Go | PostgreSQL | DynamoDB | AWS | TypeScript | React WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Investigate emerging frontier-model behaviors and identify opportunities to turn them into product capabilities. Help define how advances in reasoning, planning, memory, learning, and agent collaboration appear in the product. - Build and evolve Skills, Workflows, and Artifacts into a coherent ecosystem. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for complex real-world tasks. - Own capabilities end-to-end, from user-facing products and interfaces to backend services, evaluation, data models, and production operations. - Build scalable platform infrastructure and backend systems that power capability execution, sharing, and lifecycle management across high volume user and agent interactions. - Collaborate closely with PM, Design, Data Science, Sales, Research, to identify high-impact opportunities in both consumer and enterprise customer experiences, validate emerging capabilities, and translate complex agent behaviors into simple, reliable product experiences. - Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership. QUALIFICATIONS - Typically 8+ years of professional software engineering experience, with a track record of owning and delivering complex products or systems from conception to production. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply. - Strong full-stack engineering fundamentals, including experience building user-facing products, backend services, and scalable distributed systems that serve high traffic and large user bases. - Strong product judgment and instincts; you turn vague needs into simple, reliable systems and ship without waiting for perfect specs. - Comfort with data-informed decisions; you define the metrics and evals that prove a system works, and iterate on them. - Experience designing abstractions, platforms, or reusable systems that enable other engineers, users, or automated systems to accomplish complex tasks. - Strong execution: you can take ambiguous product needs, break them down, and ship durable systems with clear user impact. - Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors. NICE TO HAVE - Experience building agentic systems (tool calling, subagents, long-running or autonomous task execution). - Experience building developer platforms or reusable-capability primitives (SDKs, plugin systems, workflow engines). - Experience with evaluation, benchmarking, or quality systems for ML/LLM-powered products. - Time spent at a fast-growing startup or on a high-ownership engineering team.

Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity. Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and complete increasingly ambitious work. Across these use cases, the Perplexity experience must feel deeply personal. Great recommendations and user understanding are central to delighting and delivering for each user. To do this, we are reimagining recommendation systems for the LLM era. Our goal is to combine the intelligence of frontier LLMs, the personalization context that comes from real product usage, and the continual learning capabilities of modern recommendation systems. We build systems that draw on past context and connected data sources to deeply understand each user's needs and recommend the actions that help them get the most out of Perplexity. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics. - Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences. - Design the decision layer that balances competing objectives to produce the best overall experience for the user. - Build the data and evaluation foundations that let these systems learn and improve with usage. - Help shape the technical direction of ranking, recommendations, and personalization at Perplexity. WHAT WE'RE LOOKING FOR - Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale. - Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation. - Experience integrating LLMs into ranking, retrieval, or personalization pipelines. - Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles. - For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects. NICE TO HAVE - Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving). - Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

ABOUT PERPLEXITY AI Perplexity is an AI-powered answer engine built to serve the world’s curiosity with fast, trustworthy answers grounded in the live web and backed by clear citations. It combines multiple leading models with real-time search to synthesize up-to-date, source-linked responses instead of traditional search results. On top of this foundation, Perplexity is rolling out Computer, a general-purpose AI worker that can use software like a human to research, build, and execute end-to-end workflows for users. ABOUT THE ROLE Perplexity is building AI systems that integrate directly into how enterprises operate. Our API Platform powers search, retrieval, and automation across structured and unstructured data, while Perplexity Computer extends this into the execution of an AI system that navigates tools, interacts with applications, and completes multi-step workflows. Together, these platforms form a new integration layer, connecting models, data, and enterprise systems into end-to-end workflows. We’re looking for Forward Deployed Engineers to work directly with customers to design and deploy these integrations in production. You’ll embed with teams, connect Perplexity into their existing stack, and build systems that automate real work. This role spans two closely connected areas: - API Platform: integrating search, retrieval, and AI capabilities into enterprise systems - Perplexity Computer: deploying agentic workflows that operate across tools, applications, and data Perplexity’s platforms are redefining how AI is integrated into enterprise operations. You’ll work on cutting-edge AI systems, building end-to-end workflows and integrations that solve real business problems at scale. This is a unique opportunity to influence both product and adoption, embed AI deeply in enterprise workflows, and shape the future of how organizations operationalize AI. KEY RESPONSIBILITIES - Design, build, and deploy end-to-end integrations between Perplexity and enterprise systems (data platforms, internal tools, SaaS applications), translating business workflows into production-grade AI systems - Work directly with customer teams to embed AI into existing processes, owning deployments from initial architecture through production rollout and ongoing optimization - Develop and operationalize integrations using APIs, event-driven architectures, and workflow orchestration, including deploying Perplexity Computer for multi-step, agent-driven workflows across tools and environments - Design and build production systems that combine retrieval, reasoning, and execution across enterprise environments, applying deep expertise in LLM capabilities, implementation patterns, and the AI stack to drive performance, security, and customer impact - Debug and resolve issues across APIs, infrastructure, and external dependencies, ensuring reliability, performance, and scalability in production - Prototype new integration patterns and build reusable architectures that accelerate adoption across customers - Partner with Sales and Product to unlock new use cases, drive expansion, and translate deployment learnings into product and platform improvements QUALIFICATIONS - 5+ years of experience in software engineering, forward deployed engineering, solutions engineering, or similar roles, with a track record of building and shipping production systems in customer-facing environments - Strong programming ability in Python (plus one of JavaScript/TypeScript, Java, etc.) with experience developing integrations, prototypes, and scalable applications - Deep experience with APIs and distributed systems, including authentication, latency optimization, and debugging across complex, multi-system environments - Production experience building LLM-powered systems, including prompt engineering, agent workflows, evaluation, and deploying AI systems at scale - Proven ability to design and implement automated, end-to-end workflows that integrate across enterprise systems and replace manual processes - High ownership and ability to operate in ambiguous environments, with strong system design, rapid prototyping skills, and end-to-end execution - Excellent communication and collaboration skills, with experience working cross-functionally and engaging both technical teams and executive stakeholders NICE-TO-HAVES - Experience with search systems, retrieval-augmented generation (RAG), or AI/ML APIs - Background in developer tools, platform engineering, or high-scale/low-latency system design - History of working at startups or small teams, owning customer projects end-to-end - Experience with enterprise IT systems or AI deployment patterns in regulated industries (finance, healthcare, life sciences) If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.

Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and specialized data sources. The Answer Quality team ensures that our prompts, tools, search, and specialized datasets, combined with both frontier and in-house models, create the best possible experience for our users. As a Data Scientist/Engineer on this team, you will derive online signals from user interactions to bridge the gap between changes in answer quality and observed user behavior. RESPONSIBILITIES - Discover and validate online signals from user interactions that serve as reliable proxies for true answer quality - Design and implement novel online metrics to be tracked both in A/B testing and on product health dashboards, ensuring alignment with ground-truth evaluations - Analyze experimental results to validate these metrics, ensuring they accurately predict user satisfaction and drive product decisions - Build and maintain the data pipelines that calculate these metrics at scale, delivering actionable quality signals to Search, Product, and model training teams - Communicate findings and bring clarity through close collaboration with Product and Search teams - Operate in a small, high-impact team where your work directly shapes how Perplexity measures and improves Answer Quality QUALIFICATIONS - MS in a technical field or equivalent experience - 4+ years of experience working as a Data Scientist, Analytics Engineer, or related role - Experience working on search, recommendation, or LLM-based products, with an emphasis on designing online metrics and analyzing A/B experiments - Strong proficiency in Python and SQL (expected to write production-grade code) - Deep knowledge of statistical analysis - Experience with Business Intelligence (BI) tools for visualization and reporting - Comfortable with agentic coding workflows and using AI-assisted development tools to iterate faster PREFERRED QUALIFICATIONS - Proficiency with Apache Spark and Databricks - Experience with the development or validation of LLM-as-a-judge systems - Prior work supporting customer-facing products at scale

Perplexity is an AI-powered answer engine used to solve billions of queries every month. We build accurate, trustworthy AI that powers decision-making for curious people and organizations worldwide. We are looking for an experienced Enterprise Customer Support Specialist who can marry deep product expertise with a passion for scaling world-class support through automation. You will be the primary advocate for our Enterprise Pro customers, helping them maximize value, troubleshooting complex issues, and feeding their insights straight into future product development. RESPONSIBILITIES - Work directly with enterprise customers—via tickets, Slack, and sometimes calls—to diagnose and resolve their most complex technical and product questions, acting as the “last line of defense” before Product and Engineering step in. - Leverage Perplexity’s own AI tooling and workflow automations to democratize world-class support at scale, continuously identifying opportunities to replace repetitive tasks with agentic, self-service solutions that feel personalized. - Build durable relationships with Enterprise users, advising on best practices, capturing structured feedback, and championing customer needs in roadmap discussions. - Own end-to-end troubleshooting: reproduce issues, isolate root causes, collaborate with engineers, and communicate clear, low-jargon explanations. - Design and maintain detailed use-case flows, playbooks, and internal runbooks that empower teammates and customers to solve recurring challenges faster. - Create and update external documentation (FAQs, help center, guides, tutorials) and internal knowledge bases to ensure information is discoverable and up-to-date. - Track and report support KPIs (response time, CSAT, resolution rates) and propose data-driven process improvements. - Participate in an on-call rotation—including some holidays or weekends—to guarantee timely global coverage. REQUIREMENTS - Minimum 3+ years in B2B enterprise customer support with exposure to U.S. and E.U. markets, or similar fast-paced tech environments. - Hands-on experience prompting large-language models, plus a solid grasp of AI fundamentals (tokens, context windows, embeddings, latency vs. cost trade-offs, etc.). - Ability to translate complex technical concepts—APIs, SSO/SAML, cloud integrations—into clear, actionable guidance for non-technical stakeholders. - Demonstrated strength in critical thinking, rapid context-switching, and ruthless prioritization when juggling multiple escalations1 https://openai.com/careers/ai-technical-support-specialist/. - Proficiency with modern support platforms (Intercom, Zendesk, Jira) and basic data-analysis tools (e.g., SQL, Looker, Snowflake). - Exceptional written and spoken English; business-level fluency in at least one additional language such as Spanish, French, or German is strongly preferred. - Passion for continuous learning, high ownership, and a “do-what-it-takes” mindset in ambiguous situations. BONUS POINTS - Prior experience supporting AI, search, or knowledge-management products. - Familiarity with payment platforms (Stripe), enterprise identity (SSO/OAuth), and API integrations. - Knowledge of enterprise cloud-storage ecosystems (Google Drive, SharePoint, Dropbox) and data-governance best practices. WHY PERPLEXITY? - Impact at Scale – Your work directly influences hundreds of enterprise clients and millions of end-users at an unprecedented scale to encourage personalized support - Velocity & Ownership – Ship improvements quickly in a culture that values curiosity, speed, and quality - Cutting-Edge Tech – Operate at the forefront of applied LLMs and help invent how AI can redefine customer support itself.

Perplexity is an AI-powered answer engine used to solve billions of queries every month. We build accurate, trustworthy AI that powers decision-making for curious people and organizations worldwide. As we scale across Asia-Pacific, we are investing in a regional team that can deliver the same world-class experience our Enterprise Pro customers expect, in their language, in their time zone, and to their service standards. The Perplexity APAC team is the frontline for delivering Perplexity AI's industry-leading search capabilities to enterprise clients and individual users across Asia-Pacific markets. The team partners closely with Product, Engineering, Localization, and Technical Success to resolve complex technical issues while adapting our global support and success frameworks to regional expectations. This is a hybrid Customer Success and Enterprise Support role. You will own a book of Japan-headquartered Enterprise accounts end to end — onboarding, adoption, retention, and growth — while also serving as the senior technical escalation point for APAC support. Responsibilities Customer Success & Growth - Execute the Enterprise customer success strategy in APAC, serving as the primary point of contact for key APAC-based enterprise clients. - Drive initial enablement through high-quality onboarding and training, then define and run a targeted, goal-based engagement plan aligned with each customer's objectives. - Identify and support opportunities for expansion; partner with sales to translate customer insights into actionable growth strategies. - Manage retention by quantifying value delivered, monitoring health, and acting early on risk. - Generate customer insights by understanding the competitive landscape and the end-to-end customer journey — goals, behaviors, and pain points — across distinct APAC markets. - Build durable executive relationships and engage with stakeholders from individual contributors to C-level. - Engage cross-functionally with Product, Engineering, Localization, Sales, and Marketing to drive projects and influence decisions that enable delivery of your customer strategy. Enterprise Support Execution - Work directly with enterprise customers via tickets, Slack, and calls to diagnose and resolve the most complex technical and product questions — the "last line of defense" before Product and Engineering step in. - Own end-to-end troubleshooting: reproduce issues, isolate root causes, collaborate with engineers, and communicate clear, low-jargon explanations in Japanese and English. - Anticipate customer issues, orchestrate timely resolutions, and act as the regional escalation point for complex problems. - Leverage Perplexity's own AI tooling and workflow automations to scale world-class support, continuously replacing repetitive tasks with agentic, self-service solutions that still feel personalized. - Localize 15+ knowledge base articles at launch, maintaining terminology consistency with product UI localization. Qualifications Required - Fluency in English and Japanese is a must; technical writing proficiency in Japanese. Business or fluent-level Korean or Mandarin Chinese is preferred. - 3+ years in B2B/SaaS customer support, ideally as a senior or escalation engineer providing timely, accurate support to end users. - 3+ years in customer-facing roles (Customer Success, Account Management, or equivalent) with a proven ability to engage stakeholders at both project and senior management levels. - Proven track record of driving enterprise-level satisfaction, growth, and retention; creative problem-solving in a fast-paced environment. - Strong customer orientation with the ability to interact effectively with both software engineers and business decision-makers. - Hands-on experience prompting large language models and a solid grasp of AI fundamentals (tokens, context windows, embeddings, latency vs. cost trade-offs). - Ability to translate complex technical concepts — APIs, SSO/SAML, cloud integrations — into clear, actionable guidance for non-technical stakeholders. - Proficiency with modern support platforms (Intercom, Zendesk, Jira) and CRM / customer success tools. - Excellent written and spoken communication; comfortable presenting to C-level executives. - A self-starter comfortable with ambiguity, juggling multiple initiatives, and operating independently as the in-region anchor for a US-headquartered team.

Perplexity is looking for an Applied AI Engineer to design, build, and iterate on cutting-edge agents powering our core experience in Perplexity Computer. Working in this mission critical team, you will develop frontier context layer applications - fulfilling the curiosity of millions of users across the globe. Key Responsibilities - Apply state-of-the-art ML and LLM techniques to solve problems spanning: - Personalization (LLM memory, context summarization, retrieval and ranking); - Contextual recommendations and Monetization applications - Build frontier agent capabilities on top of Perplexity Computer - Build auto research harness for both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact. - Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement and build autonomous harness for agent squad to explore different problem spaces. - Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements. - Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle. Preferred Qualifications - 5+ years experience building and shipping robust AI products for large-scale, user-facing or data-driven products. - Strong software engineering skills (Python, production-quality codebases, collaborative development) and experience using agentic coding tools for large scale parallel developments. - In-depth experience with the full AI lifecycle: data analysis, rigorous evaluation, and ongoing monitoring/improvement. - Proven collaborator and communicator; excels in high-velocity, cross-functional teams. - Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI. - BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience). Bonus Points For - Experience with LLM context engineering or harness engineering. - Experience in mid-training or post-training frontier open source models - Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc).

Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and our specialized data sources. We aim to use the latest models as they are released, but the intelligence frontier is a jagged one, and popular benchmarks do not effectively cover our use cases. In this role, you will build specialized evals to improve answer quality across Perplexity, covering search-based LLM answers and other scenarios popular with our users. RESPONSIBILITIES - Architect and maintain automated evaluation pipelines to assess answer quality across Perplexity's products, ensuring high standards for accuracy and helpfulness - Design evaluation sets and methods specifically to measure the impact of tool calls (particularly web search retrieval) on the final answer's quality - Develop VLM-based solutions to programmatically evaluate how final answers render visually across different platforms and devices - Continuously review public benchmarks and academic evaluations for their applicability to the Perplexity product, adapting and incorporating them into our regular performance measurements - Operate within a small, high-impact team where your evaluation metrics directly shape product changes, collaborating closely with technical leadership to measure and improve Answer Quality QUALIFICATIONS - PhD or MS in a technical field or equivalent experience - 4+ years of experience in data science or machine learning - Strong proficiency in Python and SQL (expected to write production-grade code) - Experience building within a modern cloud data stack, specifically AWS and Databricks - Comfortable with agentic coding workflows and using AI-assisted development tools to iterate faster PREFERRED QUALIFICATIONS - 1+ years of experience working with LLMs at scale, specifically with LLM-as-a-judge setups - Prior experience working on customer-facing web products or consumer apps, with real user traffic at scale - A strong research background, with experience applying research methods to real-world ML problems - Experience defining evaluation metrics (e.g., factual consistency, hallucination rate, retrieval precision) and building ground truth datasets

We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL - and we need another engineer to join us. WHAT YOU WILL WORK ON Examples of real work the team does: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernel interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. GOOD IF YOU TOUCHED ANY OF - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).

Perplexity is seeking a TLM (Tech Lead Manager) to lead and grow our highly driven Agents engineering team. The Agents team consists of AI/ML, backend, and full-stack engineers who collaborate to build delightful agentic experiences within our Comet ecosystem https://www.perplexity.ai/comet. Our vision is to empower our users with AI agents that can faithfully actualize their intent, however and wherever expressed, through open-ended interactions with the world. As the Agents TLM, you will bring AI expertise, sharp product intuition, and strong engineering management skills to advance the frontier of what agents can accomplish for our millions of devoted users. You will lead, grow, and support a team in solving many open problems in AI, including: - Designing AI agents to navigate the digital world and perform increasingly valuable units of work for our users; - Training action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives; - Providing consistently excellent experiences across desktop, mobile, headless cloud, and other environments through flexible abstractions and frictionless backgrounding; - Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities; - Designing optimal data representations and modes of interaction between agents and their environments; - and much, much more. RESPONSIBILITIES - Provide technical leadership across multiple layers of a rapidly growing product in the AI agents space. - Develop and leverage cutting-edge AI models, infrastructure, and browser technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase. - Exercise sharp technical & product intuition to guide the team’s system architectures and product roadmaps. - Drive product reliability, code quality, AI evaluation, testing, and maintenance for the broader team. - Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates. - Interface with the Perplexity co-founders to deliver strategic objectives that redefine what’s possible in the AI industry. QUALIFICATIONS - Strong foundational familiarity with the full AI product stack. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - Domain expertise in at least one of the following areas: - Context engineering and tool interfaces for frontier AI models - Post-training and reinforcement learning (particularly for multimodal models) - Browser technologies (CDP, Playwright, extension development, etc.) - Strong product intuition and taste for user experience excellence. - Strong background and hands-on technical experience with frontier models (the more relevant to open-world agents, the better). - Strong organizational skills for managing and delivering parallel technical projects; ability to guide highly-opinionated teams in making sound tradeoffs and prioritization decisions is critical. - Experience managing engineering teams, including recruiting, growing, and retaining high-caliber talent. - 8+ years of engineering experience, with at least 3 of those years as an engineering manager.

Perplexity is seeking energetic engineers to join our highly driven Agents engineering team. The Agents team consists of backend, full-stack, and AI/ML engineers who collaborate to build delightful agentic experiences within our Comet ecosystem https://www.perplexity.ai/comet and Perplexity Computer https://www.perplexity.ai/computer, our platform for generalized frontier intelligence. Our vision is to empower our users with AI agents that can faithfully actualize their intent, however and wherever expressed, through open-ended interactions with the world. As an engineer on our Agents team, you will bring AI expertise, sharp product intuition, and a tinkerer's mindset to advance the frontier of what agents can accomplish for our millions of devoted users. You will work across applied research and engineering to solve many open problems in AI, including: - Designing AI agents to navigate the digital world and perform increasingly valuable units of work for our users; - Training action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives; - Providing consistently excellent experiences across desktop, mobile, headless cloud, and other environments through flexible abstractions and frictionless backgrounding; - Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities; - Designing optimal data representations and modes of interaction between agents and their environments; - and much, much more. RESPONSIBILITIES - Drive cutting-edge AI capabilities across multiple layers of a rapidly growing product in the AI agents space. - Develop and leverage cutting-edge AI models, infrastructure, and browser technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase. - Ensure a high craft and quality bar, in both AI agent performance and user experience. - Collaborate with fellow engineers, designers, product managers, data scientists, and others across the company to integrate core Perplexity functionality into our frontier agentic products and vice-versa. - Contribute to product reliability, code quality, AI evaluation, testing, and maintenance across the broader team. QUALIFICATIONS - Strong foundational familiarity with the full AI product stack. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - Significant experience in at least one of the following areas: - Context engineering and tool interfaces for frontier AI models - Post-training and reinforcement learning (particularly for multimodal models) - Browser technologies (CDP, Playwright, extension development, etc.) - Strong product intuition and taste for user experience excellence. - Comfortable working with a small, fast-moving team, must be willing to dive in and take ownership. - A passion for shipping products that surprise and delight.

We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters RESPONSIBILITIES - Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads - Manage and optimize Slurm-based HPC environments for distributed training of large language models - Develop robust APIs and orchestration systems for both training pipelines and inference services - Implement resource scheduling and job management systems across heterogeneous compute environments - Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure - Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm - Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services - Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands QUALIFICATIONS - Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management - Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization - Experience with deploying and managing distributed training systems at scale - Deep understanding of container orchestration and distributed systems architecture - High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies) - Experience managing GPU clusters and optimizing compute resource utilization REQUIRED SKILLS - Expert-level Kubernetes administration and YAML configuration management - Proficiency with Slurm job scheduling, resource management, and cluster configuration - Python and C++ programming with focus on systems and infrastructure automation - Hands-on experience with ML frameworks such as PyTorch in distributed training contexts - Strong understanding of networking, storage, and compute resource management for ML workloads - Experience developing APIs and managing distributed systems for both batch and real-time workloads - Solid debugging and monitoring skills with expertise in observability tools for containerized environments PREFERRED SKILLS - Experience with Kubernetes operators and custom controllers for ML workloads - Advanced Slurm administration including multi-cluster federation and advanced scheduling policies - Familiarity with GPU cluster management and CUDA optimization - Experience with other ML frameworks like TensorFlow or distributed training libraries - Background in HPC environments, parallel computing, and high-performance networking - Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices - Experience with container registries, image optimization, and multi-stage builds for ML workloads REQUIRED EXPERIENCE - Demonstrated experience managing large-scale Kubernetes deployments in production environments - Proven track record with Slurm cluster administration and HPC workload management - Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure - Experience supporting both long-running training jobs and high-availability inference services - Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management

Perplexity is seeking an experienced Machine Learning Research Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. Responsibilities - Relentlessly push search quality forward — through models, data, tools, or any other leverage available - Architect and build core components of the search platform and model stack - Design, train, and optimize large-scale deep learning models using frameworks like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models - Conduct advanced research in representation learning, including contrastive learning, multilingual, and multimodal modeling for search and retrieval - Deploy models — from boosting algorithms to LLMs — in a scalable and performant way - Build and optimize RAG pipelines for grounding and answer generation - Collaborate with Data, AI, Infrastructure, and Product teams to ensure fast and high-quality delivery Qualifications - Deep understanding of search and retrieval systems, including quality evaluation principles and metrics - Proven track record with large-scale search or recommender systems - Strong proficiency with PyTorch, including experience in distributed training techniques and performance optimization for large models - Expertise in representation learning, including contrastive learning and embedding space alignment for multilingual and multimodal applications - Strong publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, SIGIR) - Self-driven, with a strong sense of ownership and execution - Minimum of 3 years (preferably 5+) working on search, recommender systems, or closely related research areas

Perplexity is seeking a Research Engineering Manager to lead the team of all-star AI researchers and engineers responsible for developing the models that drive our products. Our team has developed some of the most advanced models for agentic research, query understanding, and other domains that require accuracy and depth. As we expand our userbase and portfolio of product surfaces, our in-house models are increasingly critical to providing a premium, high-taste experience for the world’s most sophisticated users. You will dive into our rich datasets of conversational and agentic queries, leveraging cutting‑edge training techniques to scale AI model performance. Through hands-on technical and organizational leadership, you will empower your team to develop SotA models for the use cases that matter most to our business and our users. RESPONSIBILITIES - Lead a team of researchers and engineers focused on training SotA models for Perplexity-relevant use cases, leveraging the latest supervised and reinforcement learning techniques. - Drive research and engineering efforts to develop production models through advanced model training and alignment techniques, including RL, SFT, and other approaches. - Become deeply familiar with the team’s technical stack, leading from the front through hands-on technical contributions. - Own the data, training, and eval pipelines required to train and continuously improve LLM models. - Design and iterate on model training and finetuning algorithms (e.g., preference‑based methods, reinforcement learning from human or AI feedback) through an approach that balances scientific rigor and iteration velocity. - Design evaluations and improve the production model training pipeline to reliably deliver models that lie on the Pareto frontier of speed and quality. - Work closely with engineering teams to integrate in-house models into our product and rapidly iterate based on real‑world usage. - Manage day‑to‑day execution, project planning, and prioritization for the model training team to hit ambitious quality and performance goals. QUALIFICATIONS - Proven experience with large-scale LLMs and Deep Learning systems. - Strong Python and PyTorch skills; versatility across languages and frameworks is a plus. - Experience leading or managing research or engineering teams working on large-scale AI model development, including driving complex projects from idea to production. - Self‑starter with a willingness to take ownership of tasks and navigate ambiguity in a fast‑moving environment. - Passion for tackling challenging problems in AI model quality, speed, safety, and reliability. - 10+ years of technical experience, with at least 2 of those years as a manager and at least 4 of those years working on large-scale AI model development. NICE-TO-HAVE - PhD in Machine Learning or related areas. - Experience training very large Transformer-based models with techniques such as SFT, DPO, GRPO, RLHF‑style methods, or related preference‑based optimization approaches. - Prior experience designing evaluations and production training pipelines for large‑scale models in a high‑growth environment.

Perplexity is seeking an experienced Machine Learning Research Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. Responsibilities - Relentlessly push search quality forward — through models, data, tools, or any other leverage available - Architect and build core components of the search platform and model stack - Design, train, and optimize large-scale deep learning models using frameworks like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models - Conduct advanced research in representation learning, including contrastive learning, multilingual, and multimodal modeling for search and retrieval - Deploy models — from boosting algorithms to LLMs — in a scalable and performant way - Build and optimize RAG pipelines for grounding and answer generation - Collaborate with Data, AI, Infrastructure, and Product teams to ensure fast and high-quality delivery Qualifications - Deep understanding of search and retrieval systems, including quality evaluation principles and metrics - Proven track record with large-scale search or recommender systems - Strong proficiency with PyTorch, including experience in distributed training techniques and performance optimization for large models - Expertise in representation learning, including contrastive learning and embedding space alignment for multilingual and multimodal applications - Strong publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, SIGIR) - Self-driven, with a strong sense of ownership and execution - Minimum of 3 years (preferably 5+) working on search, recommender systems, or closely related research areas

Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information. Internship program: 12 - 24 weeks, full-time, in-person in the Belgrade office. Responsibilities: - Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers. - Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models. - Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks. - Support deployment and monitoring of search and ranking models in a scalable and performant way. - Help build and iterate on RAG pipelines for grounding and answer generation. - Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML. Qualifications: - Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems. - Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects. - Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required. - Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required. - Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment - Experience with Rust will be a plus

Perplexity is seeking top-tier AI Research Scientists and Engineers to advance our AI products and capabilities. We're building the future of AI-powered search and agent experiences through our Sonar models, Deep Research Agent, Comet Agent, and Search products. Join us in creating SOTA experiences that handle hundreds of millions of queries and continue to scale rapidly. Team Structure Depending on your interests and expertise, you'll work on one of three specialized teams: 1. Core Research Team (Horizontal) Focus on generating and improving base models that power all our products. This team works on foundational model capabilities, post-training techniques, building RL infra and infrastructure that benefits the entire organization. 2. Agent Products Team (Vertical) Concentrate on fine-tuning and optimizing models for our Deep Research Agent and Labs/Canvas products. This team bridges research and product, ensuring our agent capabilities deliver exceptional user experiences. 3. Comet Agent Team (Vertical) Dedicated to developing and enhancing our Comet Agent product. This specialized team focuses on the unique requirements and optimizations needed for Comet's specific use cases. Responsibilities Research & Development - Post-train SOTA LLMs using the latest supervised and reinforcement learning techniques (SFT/DPO/GRPO) - Leverage our rich query/answer dataset to scale model performance across Sonar, Deep Research, Comet, and Search products - Stay current with the latest LLM research, especially in model training, optimization, and personalization techniques - Implement preference optimization and personalization capabilities to enhance user experience - Invent in-house improvements and optimizations to enhance SOTA models - Turn research ideas into algorithms and run experiments to launch new models Infrastructure & Implementation - Own full-stack data, training, and evaluation pipelines required for model development - Build robust and effective training frameworks (on top of Megatron/PyTorch) for post-training LLMs - Implement necessary infrastructure and components to support cutting-edge model training at scale - Integrate models seamlessly into our product ecosystem Collaboration - Work closely with engineering teams to integrate models into Perplexity's product suite - Collaborate across teams to ensure cohesive AI experiences throughout our platform - Partner with product teams to understand user needs and translate them into model improvements Qualifications Required - Proven experience with large-scale LLMs and Deep Learning systems - Strong programming skills in Python/PyTorch; versatility is a plus - Experience with post-training techniques and reinforcement learning - Self-starter with a willingness to take ownership of tasks - Passion for tackling challenging problems - Minimum 2-6 years of experience on relevant projects (depending on seniority level) Nice-to-have - PhD in Machine Learning, AI, Systems, or related areas - Experience in post-training LLMs with SFT/DPO/GRPO - C++/CUDA programming skills - Experience building LLM training frameworks - Academic publications and research impact - Experience with agent systems and multi-step reasoning - Background in personalization and preference learning

Internship Program Berlin Internship program: 12 - 24 weeks, full-time, in-person in the Berlin office. Responsibilities - Relentlessly push search quality forward — through models, data, tools, or any other leverage available. - Train, and optimize large-scale deep learning models using frameworks like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models. - Conduct research in representation learning, including contrastive learning, multilingual, evaluation, and multimodal modeling for search and retrieval. - Build and optimize RAG pipelines for grounding and answer generation. Qualifications - Understanding of search and retrieval systems, including quality evaluation principles and metrics. - Strong proficiency with PyTorch, including experience in distributed training techniques and performance optimization for large models. - Interested in representation learning, including contrastive learning, dense & sparse vector representations, representation fusion, cross-lingual representation alignment, training data optimization and robust evaluation. - Publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR).

Perplexity is seeking an exceptional AI Research Tech Lead to drive our research strategy and lead the development of our in-house Online LLMs, the Sonar models. In this leadership role, you will set the macro research direction across different modalities, mentor a team of researchers, and take advantage of our rich query/answer dataset to continue scaling our Sonar model performance and deliver the SOTA Online LLM experience to our users. RESPONSIBILITIES RESEARCH LEADERSHIP & STRATEGY - Define and execute the macro research direction across multiple modalities, including post-training LLMs for agent trajectories and future mid-training initiatives - Lead strategic research planning and roadmap development to advance Sonar model capabilities - Drive innovation in supervised and reinforcement learning techniques for query answering - Collaborate with leadership to align research priorities with product and business objectives TEAM DEVELOPMENT & MENTORSHIP - Coach and mentor a team of AI research scientists and engineers, fostering their technical and professional growth - Establish the long-term macro research direction across the team, including our direction across different modalities - Lead hiring and onboarding of new research talent - Create a collaborative environment that encourages knowledge sharing and innovation TECHNICAL EXCELLENCE - Post-train SOTA LLMs on query answering using cutting-edge supervised and reinforcement learning techniques - Own and optimize the full stack data, training, and evaluation pipelines required for LLM post-training - Deliver Sonar models that provide SOTA query answering performance - Drive research into agent trajectories and multi-modal capabilities - Lead the technical roadmap for eventual mid-training investments CROSS-FUNCTIONAL COLLABORATION - Work closely with engineering teams to integrate Sonar models into our product - Partner with product teams to understand user needs and translate them into research priorities - Collaborate with data teams to leverage our unique query/answer dataset effectively - Communicate research progress and findings to stakeholders across the organization QUALIFICATIONS REQUIRED - Minimum of 5 years of experience working on relevant AI/ML projects with 3+ years in a technical leadership role - Proven track record of leading and mentoring technical and research teams - A Computer Science graduate degree at a premier academic intitution - Deep expertise with large-scale LLMs and Deep Learning systems - Strong programming skills with versatility across multiple languages and frameworks - Demonstrated ability to set technical vision and drive execution - Experience with pre-training and post-training techniques (self-supervised learning along with SFT/DPO/GRPO/PPO) - Self-starter with exceptional ownership mentality and ability to work in ambiguous environments - Passion for solving challenging problems and pushing the boundaries of AI research NICE-TO-HAVE - PhD in Machine Learning, Computer Science, or related areas - Experience with agent-based AI systems and multi-modal model development - Background in mid-training or pre-training of large language models - Publications in top-tier AI/ML conferences - Experience in fast-paced startup environments - Track record of translating research into production systems