12,385 results
Staff Engineer, Datacenter Server Lifecycle
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is investing $50 billion in American computing infrastructure, including datacenters custom-built for our workloads, and this role sits at the heart of that effort. As a Staff Engineer on the Datacenter Server Lifecycle team, you will own the end-to-end operational journey of every machine in our datacenters – from initial provisioning and deployment, steady-state operation, maintenance, and repair. This is greenfield work: you will help define the services, tooling, standards and processes that govern how we operate critical hardware at scale, powering frontier model development and serving. You will have the opportunity to define AI-native workflows for datacenter operations and to help drive innovations on efficiency, performance, and reliability. A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI – training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling. Key responsibilities - Build automation to support datacenter fleets at scale. - Define and own the end-to-end system lifecycle strategy – from provisioning and deployment through operation, maintenance, refresh, and decommissioning – and maintain automation and operational procedures for common lifecycle events (e.g., hardware failures, firmware upgrades, fleet rotations). - Partner closely with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle. - Work closely with our Networking team to ensure end-to-end connectivity across all sites. - Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet. Minimum qualifications - Hands-on experience with server hardware, including rack deployment, cabling, troubleshooting, and understanding failure modes at scale. - End-to-end understanding of hardware lifecycle management: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices. - Proficiency in at least one programming language (e.g., Python, Rust, Go, or Java). - Working knowledge of modern cloud infrastructure, including Kubernetes and large scale cloud providers (e.g. AWS, Azure, GCP). - Ability to communicate clearly and build consensus with a wide range of stakeholders. - Comfort navigating ambiguity and making progress on complex, cross-functional problems. - Willingness to travel occasionally to datacenter sites across North America. Preferred qualifications - 8+ years of experience in datacenter infrastructure mana
Machine Learning Engineer, Growth Platform
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Growth Platform builds the machine learning systems that help businesses discover and use the Stripe products that meet their needs. Our recommendations reach users across the Dashboard, email, onboarding, documentation, and AI agent interfaces. We combine an understanding of each business with models that decide which recommendation is useful, when to show it, and how to learn from the outcome. Our work spans recommendation and ranking models, contextual bandits, agent-based recommendations, and the data and evaluation systems behind them. We build shared capabilities that product, marketing, and sales teams can use across Stripe. Success means helping businesses take useful actions and adopt products that help them grow, while keeping recommendations relevant and avoiding unnecessary messages. What you’ll do You will build and operate production ML systems that improve how Stripe recommends products, content, and next steps to businesses. You will own work from problem definition and feature development through training, evaluation, deployment, monitoring, and iteration. Working with data scientists, engineers, and product partners, you will turn model improvements into measurable user and business outcomes. Responsibilities - Design, train, evaluate, deploy, and maintain models for recommendation, ranking, and personalized action selection across Growth Platform surfaces. - Improve contextual bandit and policy-learning approaches, including exploration, reward design, and how recommendations adapt to user context and feedback. - Build agent-based recommendation capabilities that use business context to identify relevant products and integration options, with evaluations that test recommendation quality and usefulness. - Develop reliable data and feature pipelines for training and inference. Improve data freshness, feature quality, and consistency between training and production. - Build reusable tooling for model evaluation, retraining, and safe rollout so the team can test and ship improvements faster. - Own the quality and operation of the team's ML components: write tested production code, monitor models and pipelines, investigate failures, and improve reliability, latency, and cost. - Design and analyze online experiments with data science partners. Connect offline evaluation to product adoption and incremental impact, with guardrails for dismissals, unsubscribes, and user experience. - Partner with product engineering to integrate models into recommendation delivery systems, and with ML infrastructure teams to use and improve Stripe's shared training, feature, and serving capabilities. - Work with product, marketing, and sales partners to identify problems that shared ML capabilities can solve, and make practical choices about where modeling adds value. Who you are You are a machine learning engineer with a builder mindset. You care about the business problem, the quality of the model, and what happens after it ships. You can move between modeling and software engineering, make practical tradeoffs, and take ownership of an ambiguous problem through production and measurement. We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements - 3+ years of industry experience in machine learning engineering, software engineering, or applied data science, with hands-on experience building and shipping ML models in production. - Strong programming skills in Python and experience writing maintainable, tested production code. - Practical experience designing, training, and evaluating ML models using frameworks such as PyTorch, TensorFlow, XGBoost, or scikit-learn. - Experience building data or feature pipelines, proficiency in SQL, and familiarity with distributed data processing tools such as Spark or PySpark. - A strong understanding of statistics, model evaluation, and experimentation, including the ability to recognize data leakage and distinguish offline model improvements from business impact. - Experience deploying, monitoring, and debugging production ML systems, and evaluating tradeoffs among model quality, reliability, latency, and cost. - Ability to turn an open-ended business problem into a technical approach and collaborate effectively with engineering, data science, product, and business partners. Preferred qualifications - Experience with recommendation systems, ranking, personalization, or marketplace and advertising optimization. - Experience with contextual bandits, policy learning, causal inference, or off-policy evaluation. - Experience building and evaluating LLM applications, including structured extraction, embeddings, or recommendations grounded in user and business context. - Experience building reusable ML capabilities used by multiple products or teams, including training automation, feature systems, or model monitoring. - Experience with product growth, lifecycle messaging, or systems that balance short-term engagement with longer-term user outcomes.
Americas Field Marketing, AI
About Stripe Stripe's infrastructure and suite of APIs powers hundreds of thousands of businesses—from startups to Fortune 500s—in almost every country around the world. From developers and product managers to founders and CFOs, a broad audience interacts with Stripe's products and uses them to start, run, and scale their companies. Removing the barriers to online commerce helps more new businesses get started, expedites growth for existing companies, and increases economic output and trade globally. We operate at a significant scale, but we're still tiny relative to the opportunity ahead, so there is still much to do. Join us and help put the global economy within everyone's reach. Role Overview We're seeking an experienced, creative, and results-oriented marketer who knows the AI ecosystem to drive world-class field marketing for AI organizations in the Americas region. This field marketer will be responsible for executing marketing strategies that delivers growth and revenue at scale for AI businesses. The ideal candidate is data-driven, relentlessly seeks to optimize, stays at the cutting edge of modern marketing practices, and has a passion for collaborating with sales teams to drive successful customer outcomes. As a member of the Americas Marketing team, this is a great opportunity to build and have a significant impact on our rapidly growing business. About the Team The Americas Marketing team is a high-performing group laser-focused on fueling Stripe's expansion across the region. You'll have the opportunity to make a significant impact by building and optimizing programs and strategies. You'll collaborate closely with cross-functional partners in Sales, Product, Partnerships, and others to drive measurable business results and growth. You will: - Execute the regional field marketing strategy and plan to fuel pipeline growth with the AI sales teams across the Americas - Monitor key business and revenue metrics, providing cross-functional insights to drive continuous optimization and improvement - Partner closely with Demand Generation, Product Marketing, Sales, Customer Success, and Partnerships teams to develop and execute integrated marketing campaigns - Develop and implement an events strategy, including third-party and Stripe-hosted events (in-person, virtual, and hybrid) that will deliver results for the AI segment - Design and execute mid- and lower-funnel Account Based Marketing programs to accelerate leads, opportunities, and revenue growth - Develop a focus on acquiring contacts in AI organizations by creating compelling plans, offers and approaches to effectively engage this cohort - Leverage Stripe's marketing tech stack and analytics capabilities to drive data-driven decision-making and optimize the field marketing engine We’re looking for someone with: - 3-5 years of relevant B2B field marketing experience, executing regional strategies including Account Based Marketing - Proven track record of executing marketing programs and events that drive new customer acquisition and pipeline growth - Expertise in developing and executing scaled and targeted multi-channel marketing campaigns across the full funnel - Experience working in both digital and in-person event environments, with a deep understanding of how to integrate event experiences into the buyer's journey - Successful track record of collaborating with Sales teams, including joint planning, lead management, and earning trust as a strategic partner - Strong analytical and data-driven decision-making skills with ability to synthesize and communicate business health with leadership - Excellent communication, collaboration, and project management capabilities - Startup mentality with a bias for action and the ability to thrive in a fast-paced environment
Engineering Manager, Agentic Apps
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. ABOUT THE TEAM + ROLE We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The AI Platform & Agentic Apps team builds the agent platform behind every AI agent at Robinhood — today giving a growing number of engineers and employees an AI teammate that ships code, queries data, and runs operational workflows on their behalf. We're building toward the same platform powering the agents millions of customers interact with directly, in real time. These agents don't just answer questions; they're designed to take real action across carefully curated meta harnesses. This is agentic AI at real scale, in a regulated financial environment, and it will change how Robinhood works. We move fast, raise the bar, and care deeply about building things that matter! As Engineering Manager, you will lead the charge in developing critical infrastructure for Agentic applications spanning Robinhood products. You will guide the engineering organization in leveraging Large Language Models (LLMs) to create real, scalable products that act in the world on behalf of Robinhood's customers and employees. This role calls for a visionary leader with a strong software engineering background, a passion for developing platforms, and deep expertise in applied ML at scale. You'll partner closely with Legal, Compliance, and Security to build agents that can be trusted to act in a regulated brokerage environment — driving everything from eval-gated releases to audit trails that hold up under scrutiny. This role is based in our Menlo Park, CA office, with in-person attendance expected 5 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. WHAT YOU'LL DO • Build and lead the team behind Robinhood's agentic applications — hire and grow strong engineers, and own the roadmap and delivery bar for agents that act for millions of customers and for employees internally. • Set technical direction on agent orchestration, tool integration, evals, and permissioning for consequential actions — deep enough to change a design, not only approve it. • Make agents trustworthy enough to act in a regulated brokerage: build eval-gated releases, guardrails and approval flows for money-moving actions, and audit trails alongside Legal, Compliance, and Security. • Own production reliability for nondeterministic systems running on third-party model providers: SLOs, fallbacks, and incidents driven through to fixed root causes. • Define and move the metrics that matter — task completion, quality, latency, cost per task — and report progress to leadership in numbers. WHAT YOU BRING • 10+ years managing software engineers, with a record of hiring well, growing people, and shipping products used at scale. • Hands-on depth in LLM systems — you've shipped tool-calling agents to production and can critique an architecture or eval plan yourself. • Experience running consumer-scale production services: SLOs, on-call, and dependencies you don't control. • Judgment in ambiguous, fast-moving spaces — you turn conflicting input into a focused roadmap with measurable goals, and cut scope to hit them. • Direct, clear communication with engineers, product, and executives; you write well and earn trust across functions. LEADERSHIP EXPECTATIONS Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here's what we expect from them: • Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech. • Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly. • Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity. WHAT WE OFFER • Challenging, high-impact work to grow your career • Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching • Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents • Access to the Robinhood Employee Fund that gives eligible US employees the opportunity to invest in a private employee fund that provides exposure to Robinhood Ventures funds. • Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not. • Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more • Employer-paid life & disability insurance, fertility benefits, and mental health benefits • Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! • Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $255,000 - $300,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $1 - $1 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $199,000 - $234,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
Principal Customer Engineer -Majors, France
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Job Location: Paris About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. - Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. - AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. - Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. - Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. - Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: - Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. - Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. - Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. - AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. - Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. - Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") - Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. - Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. - Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. - Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Presales Customer Engineer
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Sydney , Australia What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities - Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. - Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. - AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. - Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. - Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. - Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: - Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. - Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. - Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. - AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. - Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. - Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") - Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. - Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. - Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. - Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Principal AI Programmer, Unreal Assistant
WHAT MAKES US EPIC? At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development. PROGRAMMING - UNREAL ENGINE What We Do Unreal-powered projects have been on the bleeding edge of real-time entertainment for over 20 years. Our team of programming experts are always innovating to improve the tools and technology that empower content developers worldwide. What You'll Do We're looking for a Principal Al Programmer who builds products that integrate Al into Unreal Engine. You'll design and ship the full stack of systems that let LLMs act inside the engine (from end to end, not just a single layer), bringing depth in game engine architecture, cloud services, and how LLMs actually work. In this role, you will - Design and build LLM-driven agents and tools that operate directly inside Unreal Engine, including engine-side C++/Python tooling and editor scripting - Design and extend the cloud-hosted agent harness, services, and database that mediate between LLMs and the engine - Work across the full stack (engine tooling, cloud backend, and the web UI used to drive and monitor agents) to ship end-to-end features - Evaluate and integrate emerging LLM capabilities (tool use, multi-agent orchestration, context management) into Epic's engine and pipeline tooling - Define technical direction for the reliability, safety, and evaluation of LLM-driven engine automation - Partner closely with engine, tools, and backend programmers, and mentor others on both game engine internals and LLM system design What we're looking for - Strong software programming background with hands-on experience in a game engine (Unreal Engine strongly preferred), including engine architecture and tooling/editor scripting - Practical experience building or shipping products powered by LLMs (agents, tool-calling, RAG, prompt/context programming), or a strong conceptual understanding of how LLMs work - Experience with cloud-native services and infrastructure: web APIs, databases, and service architecture and deployment - Excellent programming skills across C++ (engine-side) and Python and/or a web backend language - Ability to work full-stack and reason about tradeoffs across engine code, backend services, and a web front end - Excellent written and verbal communication skills - BS/MS in Computer Science or a related field EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. ABOUT US Epic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here . Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here .
Senior Machine Learning Engineer, 3D Data
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Machine Learning Engineer on the Foundation AI organization, you will sit at the epicenter of our foundation model efforts. While the research world is focused on architecture, you will be the architect of the data flywheel that makes 3DGen possible. You aren't just building pipelines; you are building the infrastructure that defines how our models perceive and generate virtual worlds in three dimensions and across time. In this role, you will partner directly with our AI researchers to advance beyond experimental datasets and into the realm of dynamic, high-fidelity 3D data synthesis and evaluation. You will bridge the gap between research prototypes working locally to scaling for millions of users. You will design, implement, and scale robust, high-performance infrastructure to crawl, create, curate, store, and serve the massive 3D datasets required for these models. We are seeking accomplished software engineers with a passion for data, experience building large distributed systems, and a commitment to writing high-quality, well-tested code to solve complex data challenges at scale. Your contributions will ensure that our foundation models receive the highest quality data, thereby supporting the next generation of creative AI. You will: - High-Scale Data Orchestration: Architect and maintain automated pipelines for the ingestion, cleaning, and pre-processing of 3D datasets spanning petabytes of data - Synthetic Data Generation: Research and implement synthetic data creation pipelines. - Research-to-Production Bridge: Collaborate closely with ML Engineers and Data Scientists to understand their data requirements, build tooling that streamlines their data workflows, and troubleshoot data-related system issues - Scalable Evaluation Frameworks: Build and own evaluation—automating both heuristic-based metrics and human-in-the-loop interfaces to evaluate and benchmark training datasets and in-house foundation models - Model Deployment & API Architecture: Design and optimize high-throughput, low-latency Inference APIs for internal and external consumer access - Autonomous SOTA Tracking: Actively participate in literature reviews and paper reading groups to identify and implement the latest optimizations in generative modeling - Resource Efficiency & Observability: Implement monitoring pipeline health, optimizing data loading to ensure GPUs are used efficiently You have: - 5+ years of experience as a research-focused data systems engineer (preferably working with 3D generative models) - Expertise in building scalable ML data pipelines for both batch and real-time environments. Experience working with and processing very large datasets (Petabytes or more) - Versatile: You're a generalist and you are comfortable with several languages and technologies already; you are adaptable in any situation - Team-Player & Technical Leader: You are a collaborative team member who actively mentors peers, drives technical excellence, and takes ownership of leading and delivering key features and projects across team boundaries - Python Proficiency: You can write high-quality Python code for automation, tooling, and infrastructure management - Are passionate about the potential of generative AI, particularly in creative domains like 3D/4D content. - A Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, or a similar technical field Nice to have: - MLOps & Data Versioning Expertise: Experience with experiment tracking platforms (e.g., Weights & Biases, MLflow) and managing versioning for massive-scale datasets. - Custom Tooling & Annotation Infrastructure: Proven track record of developing internal human-in-the-loop workflows and annotation tooling tailored to 3D or video data. - Low-Level Optimization (C++): Strong C++ proficiency to optimize data-loader performance and extend underlying core engine functionality. - Game Engines & DCC Tools: Hands-on experience developing in Roblox Studio or working with digital content creation tools such as Blender, Unreal Engine, or Unity. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $212,490 - $295,250 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Product Marketing Manager
About the Team Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of artificial intelligence. We develop and execute strategies that drive awareness, engagement, and usage for OpenAI’s products and platform among our core audiences. Our Consumer Product Marketing team helps people discover ChatGPT’s capabilities, build everyday habits, and get more value from our products and subscriptions. We bring together customer insight, positioning, and measurable adoption programs, partnering closely with Product, Engineering, Research, Design, Data Science, and Growth to connect what we launch with how people use it. About the Role As a Product Marketer on OpenAI’s Consumer Product Marketing team, you will help people discover what ChatGPT can do, put it to use, and keep coming back. You will own the consumer lifecycle email program, turning product launches and customer insights into campaigns that drive activation, engagement, retention, and paid adoption. You will set the channel strategy and roadmap, develop compelling messaging and creative, and lead campaigns from brief through launch and measurement. Working with product marketing leads and partners across Product, Growth, Data Science, Engineering, and Creative, you will build relevant journeys for free and paid users, from their first experience with ChatGPT to discovering new capabilities and getting more from a subscription. This is a hands-on role for a marketer who combines strong storytelling with analytical rigor and operational ownership. You should be equally comfortable sharpening a headline, defining an audience, interpreting an experiment, and improving how campaigns get built. Success means a repeatable program that delivers measurable user impact and useful learnings every week. In this role, you will: - Own the strategy, roadmap, and standards for ChatGPT’s consumer lifecycle email program across product launches, sustained adoption campaigns, and automated journeys. - Turn product positioning, customer research, and usage insights into clear messages, compelling creative, and practical use cases that help people take action. - Map the customer journey, identify barriers to adoption, and prioritize opportunities using audience needs, behavioral data, and expected business impact. - Build and optimize onboarding, feature activation, setup reminders, and re-engagement programs that help free and paid users build lasting habits with ChatGPT. - Partner with the consumer subscriptions PMM and Growth teams on trials, upgrades, and subscriber retention, translating plan value into relevant lifecycle campaigns. - Lead campaign delivery from briefing and copywriting through creative development, localization, quality assurance, and launch, coordinating agencies and cross-functional partners. - Define audience segments, eligibility, timing, and calls to action with Data Science and Engineering so each message reaches the right users at the right moment. - Develop a testing roadmap across messaging, creative, targeting, and customer journeys. Partner with Data Science on experiment design and holdouts, then turn successful tests into ongoing programs. - Measure incremental product adoption, active usage, retention, and paid conversion alongside email engagement. Share regular readouts with clear learnings, limitations, and recommended next steps. - Improve campaign production and reporting through reusable templates, automation, and better tooling in partnership with Marketing Operations and Engineering. - Partner with Growth and product teams to connect email with landing pages, in-product messaging, push notifications, and broader campaigns, sharing insights that improve the customer experience. You might thrive in this role if you: - Have 6+ years of experience in product marketing, lifecycle marketing, or growth marketing for consumer products, including hands-on ownership of email programs. - Have built and scaled lifecycle campaigns that measurably improved product adoption, engagement, retention, or subscription growth. - Are a strong writer and creative partner who can turn complex product capabilities into clear benefits, useful examples, and compelling calls to action. - Understand consumer behavior and can use research and behavioral data to identify meaningful audience segments and moments in the customer journey. - Bring strong analytical judgment, including experience with A/B testing, holdouts, and measuring incremental impact, and can turn results into practical decisions. - Are comfortable working with campaign platforms, audience logic, automation, and technical partners to take programs from strategy through deployment and reporting. - Build strong partnerships across Product, Marketing, Design, Data Science, and Engineering, and can guide agencies and align teams without formal authority. - Take initiative, prioritize well, and maintain a high bar for quality while navigating fast-moving launches, changing requirements, and evolving tools. - Bonus: experience with consumer subscription businesses, SQL, and using AI tools to improve campaign development, analysis, or operations. Workplace & Location - San Francisco, CA. This role requires a hybrid schedule with an in office requirement from Monday - Wednesday. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Integrated Marketing Manager, EMEA
About the Team OpenAI’s Business Marketing team helps organisations understand, adopt, and create value with AI. In EMEA, Consumer and Business Marketing plan as connected partners—bringing together audience insight, global narratives, product launches, customer proof, partnerships, field activity, and demand generation into coherent regional programs. We work closely with country and regional GTM teams, Global Integrated Marketing, and Production to build relevance, trust, adoption, and durable commercial impact across a diverse set of markets. About the Role We’re hiring an Integrated Marketing Manager to shape how businesses across EMEA understand, experience, and choose OpenAI. You’ll own end-to-end regional B2B programs and build them side by side with EMEA Consumer Marketing, so audience strategy, market priorities, and campaign sequencing work as one joined-up regional plan. You’ll translate global launches and campaigns into locally relevant market moments, and build EMEA-led programs where regional insight creates a stronger path to impact. The role has a dotted-line relationship to the Global Integrated Marketing lead and partners closely with Production: shaping global work early, recommending budget allocations across global, regional, and local activity, and turning strategy into decision-ready briefs with clear scope, timing, feedback, and approvals. You’ll also partner deeply with Sales and Marketing Operations. This is a hands-on role: you will set the strategy, write the brief, align contributors, unblock delivery, and stay close to performance and learning. In this role, you will: - Own the EMEA B2B integrated marketing strategy and quarterly plan, working side by side with Consumer Marketing to align priority audiences, markets, launches, campaign sequencing, channels, and measurement. - Turn audience insight, cultural and competitive context, product truth, customer proof, and business priorities into sharp regional strategies and creative briefs that work across paid, owned, earned, social, field, partner, and sales channels. - Partner with regional Sales and GTM leaders and with Marketing Operations on segmentation, target-account and audience priorities, campaign infrastructure, attribution, reporting, and pacing against pipeline goals. - Orchestrate Brand, Creative, Product Marketing, Customer, Communications, Growth, Demand Generation, Field, Partner Marketing, agencies, local teams, and Production into one coherent audience journey. Serve as the marketing interface to Production: provide decision-ready briefs, align scope, budgets, timing, feedback, and approvals, and protect quality across markets. - Partner with Global Integrated Marketing through the role’s dotted-line relationship to shape global campaigns early, bring them effectively into EMEA, and recommend clear allocations across global, regional, and local investment. Use AI to deepen insight, improve briefs and workflows, test new formats, and accelerate high-quality execution; be accountable for measurable progress across awareness, consideration, engagement, pipeline, adoption, consumption, and revenue. You might thrive in this role if you: - Have significant experience leading integrated B2B marketing or go-to-market programs across multiple EMEA markets, including building joined-up plans with consumer or brand teams, ideally in enterprise technology, AI, cloud, or another category with complex buying journeys. - Bring strong strategic judgment, credibility with senior stakeholders, and the ability to lead independently through ambiguity while staying close to execution. - Have a proven track record of driving measurable brand and commercial outcomes, including awareness, consideration, engagement, adoption, pipeline, consumption, or revenue. - Have a strong command of audience strategy, positioning, creative development, channel planning, budget and agency management, full-funnel measurement, and the trade-offs required across markets. - Bring practical AI fluency and experience using AI tools to improve insight, experimentation, execution, and learning—not simply to automate existing work. - Have experience operating in a global-regional-local matrix, influencing global campaign development, serving as a clear marketing partner to Production, allocating budgets across competing priorities, and adapting programs to different EMEA cultures, market maturity, regulations, and commercial conditions. - Can build credibility with senior business and technical decision-makers and turn customer insight and proof into campaigns that help complex buying groups progress. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
HR Business Partner, EMEA
About the Team OpenAI’s People team aims to hire, engage, and retain world-class talent to safely build and deploy universally beneficial Artificial General Intelligence (AGI). The HR team, a vital subset of the People team, supports a diverse group of scientists, engineers, and business professionals, with expertise spanning employee relations, immigration, compensation and benefits, learning and development, project management, and more. About the Role We’re seeking an HR Business Partner to support our growing teams across EMEA, with a particular focus on France. This role will help build scalable, locally compliant people practices and support strong employee relations as we grow. You will partner closely with regional People leadership, Legal, Employee Relations, and other People COEs to strengthen our approach to employee relations and employee representation in France. This will include building practical governance, manager practices, and operating processes that are compliant and sustainable as we scale. Beyond France, this role will serve as a trusted HR partner to managers and teams across EMEA. You will combine strong operational execution with thoughtful business judgment to support performance, organizational health, employee relations, and disciplined people practices at scale. This role reports into the International HRBP Lead, who owns regional organizational design and workforce planning. You will operate as a key regional execution partner to them, translating strategic direction into consistent delivery, elevating manager capability, and proactively surfacing people risks and themes. If you're joining us in person, we offer relocation support and follow a hybrid schedule: three days a week in the office, with the option to work from home on Thursdays and Fridays. Our offices are designed for focus and connection, with spaces for both individual work and collaboration. Your Responsibilities - Lead employee-representative work in France: Partner with Legal, Employee Relations, People Operations, and local stakeholders to own and deliver CSE-related processes, including elections, consultations, employee communications, documentation, governance, and effective ongoing operating rhythms. - Build sustainable employee relations processes: Help establish clear processes for engaging with employee representatives, preparing for required information and consultation processes, maintaining appropriate documentation, and coordinating inputs from relevant business and People stakeholders. - Support managers operating in the French employee relations environment: Equip managers and leaders with practical guidance on working effectively within French employment and employee-representation frameworks, escalating complex matters to Legal or specialist teams as appropriate. - Drive strong day-to-day HR execution: Partner with managers across EMEA to support performance management cycles, feedback conversations, organizational changes, and employee relations matters with consistency and care. - Be the go-to partner for frontline managers: Provide practical, timely guidance on team health, coaching conversations, policy interpretation, performance management, and manager enablement. - Support and operationalize People programs: Help implement and maintain performance, engagement, retention, and employee experience initiatives, ensuring processes are clear, scalable, and well executed across different EMEA jurisdictions. - Triage and resolve employee relations issues: Identify issues early, assess risk, recommend appropriate actions, and partner with Employee Relations, Legal, and other COEs on complex or sensitive matters. - Maintain operational rigor: Track employee relations themes, maintain complete and accurate documentation, coordinate recurring processes, and ensure actions and commitments are followed through. - Collaborate cross-functionally: Work closely with HRBPs, Legal, Employee Relations, People Operations, Total Rewards, and other COEs to provide a consistent and high-quality employee experience across EMEA. We’re Seeking - Strong HR foundation: Approximately 8+ years of HR experience, including meaningful experience partnering directly with managers in fast-paced, high-growth, or complex international environments as a Senior HR Generalist or HR Business Partner. - French employee relations experience: Practical experience working with French employment practices and employee representative bodies. Direct experience establishing, supporting, or working closely with a CSE, works council, or comparable employee representative structure is highly valued. - Experience with employee representative processes: Familiarity with employee elections, consultation processes, employee representative communications, and the governance and documentation associated with formal employee representation. - Execution-oriented partnership: Comfortable owning detailed, time-sensitive workstreams and coordinating across multiple stakeholders while maintaining sound judgment and strong follow-through. - Strong project management: Able to take complex, multi-stage employee-representative processes and translate them into clear milestones, owners, dependencies, communications, and operating processes. - Manager coaching capability: Able to guide managers through performance conversations, organizational changes, and employee relations issues with clarity and confidence. - Operational strength: Brings structure, organization, and discipline to people processes and can build repeatable practices as the organization scales. - Good judgment under pressure: Balances empathy, employee experience, business needs, and appropriate risk management while handling sensitive matters with discretion. - High integrity: Trusted, fair, principled, and comfortable operating in an environment where confidentiality and sound judgment are essential. - Language capability: Professional fluency in French and English is strongly preferred given the role’s responsibility for supporting employee relations and representative processes in France. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Technical Program Manager, Hardware Systems
About Team Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives. About the Role We are looking for a Member of Technical Program Staff to drive the development, prototyping, and integration of innovative hardware solutions used for data collection as well as robotic systems. You will work closely with mechanical, electrical, test, manufacturing, and supply chain teams to set functional requirements, coordinate hardware iterations, and move solutions from prototype through early production. This role is based in San Francisco, CA and requires in-person presence 4 days a week. In this role you will: - Drive functional requirements for various end effector sub-systems, sensing technologies, integration of various peripherals into one system to drive data collection for model development, related milestones, and validation criteria. - Collaborate with research teams, align system-level integration requirements, deliverables, calibration needs, configurations to test, etc. - Work closely with the operations team in getting the data collection hardware rolled out, monitor the field failures as those pop-up and make sure the right stakeholders are involved in resolution. - Coordinate the design and integration of tactile sensing materials, mechanical structures, PCBAs, interconnects, harnesses, and signal paths into robotic systems. - Establish effective mechanisms for design reviews, drawing and documentation readiness, change control, design releases, decision tracking, characterization and validation readiness, and production readiness. - Partner with manufacturing, test, and supply chain on prototype builds, assembly constraints, DFM/DFA, end-of-line test requirements, equipment lead times, handoffs, and the transition to manufacturable assemblies. - Drive tradeoff decisions with the right stakeholders across material selection, mechanical performance, functionality, reliability, scaling, cost, quality, schedule, and lead time for both robot and data collection hardware by collaborating cross-functionally and quantifying impact to the program. You might thrive in this role if you: - Understand material properties, compliance, bonding, packaging, tolerances, and integration constraints that affect tactile sensor performance in robotic systems. - Have experience integrating PCBAs, interconnects, small form factor connectors, analog signals, and EMI-sensitive hardware into compact mechanical assemblies. - Enjoy occasional hands-on work as well planning for building, testing, and debugging physical systems, including characterization and validation setups, calibration, durability, signal quality, and failure modes. - Have led complex electromechanical hardware programs from evolving requirements through prototype builds and manufacturing. - Understand the deliverables for data collection hardware, manage expectations and fast iterations, have had to make judgment calls without having to wait for a decision to emerge from large meetings to keep things moving. What success looks like: - Functional requirements, mechanical interfaces, performance targets, characterization plans, validation plans, and reliability goals are aligned across engineering teams. - Fit, alignment, bonding, wear, signal integrity, EMI, calibration, durability, functionality, reliability, and scaling risks are surfaced early and driven to closure. - Design reviews, drawings, documentation, change control, characterization and validation setups, and production-release mechanisms are operating effectively. - Prototype builds transition toward manufacturable assemblies with DFM/DFA, end-of-line test requirements, equipment lead times, and cross-functional tradeoffs quantified and resolved. - Supply chain risks are well accounted for, manufacturing process or design improvements are well rationalized with as clear scope as possible for a given phase, hardware and firmware teams are aligned on priorities across multiple systems. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, Product Velocity
About the Team The ChatGPT Velocity team owns the health of the end-to-end developer and deploy loop for ChatGPT-facing services. Our mission is to help ChatGPT engineers ship confidently with a fast, lightweight development cycle and a trusted path to production. ChatGPT development depends on a long chain: local environments, Bazel builds, CI, tests, merges, release candidates, deploys, synthetics, alerts, and production health. When any link is slow, flaky, or unclear, engineers lose hours, fixes reach users later, and on-call load rises. This team turns that cross-cutting drag into owned, measured, and durable improvements. About the Role We are hiring an experienced infrastructure engineer to make ChatGPT development dramatically faster and more reliable. You will work across local development, build systems, CI, deployment infrastructure, test ownership, and production safety signals to reduce the time and attention required to move a healthy change from development to production. This is not a narrow tooling role. The best person for this job will be comfortable diagnosing messy distributed systems, reading developer pain signals from Slack and metrics, building reliable automation, negotiating ownership across teams, and making tradeoffs between velocity and production safety. You should enjoy treating engineers as users and turning confusing workflow failures into clear, measured systems. In this role, you will: - Reduce local development startup and iteration latency for ChatGPT engineers - Improve Bazel and build performance for local machines, devboxes, and CI, including cache effectiveness, reproducibility, disk usage, remote cache behavior, and observability into invalidations. - Improve CI reliability and merge throughput by reducing unrelated failures, tail latency, flaky or mis-owned tests, quarantine friction, and repeated manual reruns. - Build agents that help PRs make forward progress: rebasing, conflict resolution, CI triage, safe reruns, owner routing, and clear identification of external blockers. - Make deploy pipelines more self-healing, especially when transient alerts, known-bad clusters, recovered synthetics, stale RCs, or noisy gates should not require human babysitting. - Improve deploy observability so engineers can quickly tell where a change is, what is blocking it, whether the signal is trustworthy, and who owns the next action. - Establish lightweight metrics for before-and-after impact, such as commit-to-prod latency, deploy-window throughput, CI tail latency, local bootup time, failure rates, manual interventions, false-positive gates, and developer-reported pain. You might thrive in this role if you: - Have strong experience with large-scale developer infrastructure, build systems, CI/CD, deployment systems, or production reliability. - Can debug across local machines, devboxes, remote caches, monorepos, service dependencies, auth systems, and distributed deploy pipelines. - Are comfortable with systems like Bazel, Buildkite, Kubernetes, Temporal, Python/TypeScript services, GitHub workflows, and large monorepo tooling, or can ramp quickly on equivalents. - Think in product loops as much as systems loops: you care whether developers can understand and trust the workflow, not just whether a subsystem is technically healthy. - Know how to replace repeated manual intervention with policy-backed automation while preserving production safety. - Communicate well across teams and can turn ambiguous "this is slow/broken/flaky" reports into crisp owners, hypotheses, metrics, and shipped fixes. - Prefer practical measurement over vibes, while still knowing that developer frustration is often the first signal of a real systems problem. - Are energized by high-leverage work where a small improvement can save hundreds of engineering hours. Nice to have: - Experience improving developer experience in a very large monorepo. - Experience with remote execution, remote caching, hermetic builds, or cache reproducibility. - Experience designing CI quarantine, test ownership, merge queue, or auto-revert systems. - Experience with progressive delivery, canary/preview/stable deploy pipelines, synthetics, alert quality, and deploy-manager style workflows. - Experience building agent-assisted developer workflows, such as automated PR babysitting, CI triage, or conflict resolution. - Familiarity with security and access-control constraints around secrets, internal auth, VPN/exit-node networking, and local development. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer, DevOps
About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role You will define and build the CI/CD systems that qualify frontier models and the software stack running on OpenAI’s custom AI accelerators. Your work will make correctness, performance, and stability measurable on every change, from individual commits through production releases. This role spans model workloads, accelerator software, systems infrastructure, and developer productivity. You will establish scalable CI/CD, GitOps, and monorepo practices; design trustworthy regression and benchmarking pipelines; and partner with model, compiler, kernel, runtime, firmware, and hardware teams to shorten feedback loops without compromising production readiness. In this role, you will: - Define the model CI strategy for frontier models running on OpenAI custom silicon and integrated accelerator systems. - Build production CI/CD pipelines for functional regression, performance benchmarking, software stability, and release qualification. - Design representative test matrices across models, configurations, hardware generations, software components, and deployment environments. - Create reliable performance baselines, regression detection, bisect and triage workflows, and clear ownership for failures. - Establish GitOps practices for reproducible configuration, promotion, rollback, auditability, and environment consistency. - Shape monorepo architecture, dependency management, build and test boundaries, change validation, and developer workflows at scale. - Develop scalable orchestration, artifact management, caching, scheduling, observability, and capacity controls for accelerator-backed CI. - Partner with model, compiler, kernel, runtime, firmware, validation, and hardware teams to translate release risks into automated gates. - Improve CI reliability, speed, debuggability, and cost efficiency while maintaining high confidence in production software. You might thrive in this role if: - Have built or operated large-scale CI/CD, developer infrastructure, test automation, or production engineering systems. - Understand modern software delivery practices, including GitOps, release promotion, rollback, reproducibility, and policy-driven automation. - Have experience designing monorepos, build systems, dependency graphs, test selection, or change-impact analysis. - Can design regression and performance-benchmarking systems with stable baselines, useful metrics, and actionable failure diagnosis. - Are proficient in Python, Go, Rust, C++, or another language used to build reliable infrastructure and automation. - Have worked with distributed systems, schedulers, containers, clusters, or heterogeneous compute infrastructure. - Can collaborate with model and systems engineers to turn complex accelerator workloads into repeatable production qualification. - Care deeply about reliability, observability, developer experience, and reducing time from code change to trustworthy signal. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior Web Experience Strategist
About the Team The Business Marketing team helps organizations understand, adopt, and get value from OpenAI’s products. We work across product marketing, content, creative, and web to connect what our technology can do with the needs of the people and businesses using it. About the Role We’re looking for a Senior Web Experience Strategist to shape the customer journey across openai.com . You’ll help audiences ranging from individual developers to large enterprises discover what’s possible, find relevant information, and take the right next step. You’ll think through the full experience: how people arrive, explore products and use cases, learn through content, and move toward getting started or speaking with OpenAI. You’ll shape how navigation, content, and storytelling connect across the site, including deeper pages and transitions into product and sale-led experiences. This is a senior individual contributor role focused on audience needs, product understanding, and experience strategy. You’ll partner with Web, Design, Content, Product Marketing to build, test, and improve these journeys. This role is based in San Francisco and in office three days a week. In this role, you will: - Define audience journeys. Understand visitors’ needs and create paths from discovery and learning through evaluation, adoption, and deployment. - Connect the website experience. Shape navigation, information architecture, and connections across products, use cases, stories, and resources, wherever someone enters the site. - Guide content and storytelling. Identify what visitors need at each stage and partner with Content and Creative to build understanding as people explore deeper. - Connect self-service and human support. Make it easy to explore independently, get started, or reach the right OpenAI team when a conversation would help. - Turn strategy into shipped work. Create journey maps, experience briefs, and rough wireframes. Partner with Web on a long-term roadmap and stay involved through delivery. - Improve journeys over time. Use research, visitor behavior, and experimentation to find gaps and measure whether people can understand their options and take useful next steps. You might thrive in this role if you: - Have 10+ years of experience leading web strategy, digital experience, UX, or product strategy, either in-house at a technology company, relevant agency and/or consultancy. - Have shaped and improved complex websites, preferably for B2B technology companies, serving multiple products and audiences, with a portfolio that explains your decisions and contribution. - Bring strong product judgment and can connect technical capabilities to audience needs, practical use cases, and adoption paths. - Have experience in customer journeys, information architecture, navigation, and content strategy, including how storytelling works across a complete experience. - Understand when self-service helps customers move forward and when a go-to-market conversation adds value. - Can turn ambiguous needs into clear direction, collaborate across disciplines, and use research and experimentation to improve your work. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Research Lead, Policy Communications
About the Team The Product Policy team develops and implements policies that shape how OpenAI’s technology is built and used. We work with teams across the company to turn complex questions about AI’s benefits and risks into practical guidance for responsible research, product development, and deployment. About the Role As Research Lead, Policy Communications, you will build and lead a rigorous research program that helps OpenAI understand how people engage with complex AI policy issues. You will design qualitative and quantitative studies, develop durable research practices, and translate findings into clear recommendations for Policy, Communications, Product, and other partners. Your work will help teams communicate complex topics accurately, responsibly, and in ways that are useful to a broad range of audiences. This role can be based in San Francisco or Remote. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. You’ll be responsible for: - Build and manage a mixed-methods research program from initial questions through study design, fieldwork, analysis, reporting, and documentation. Establish high standards for quality, consistency, and responsible research practice. - Design rigorous quantitative research, including surveys and longitudinal studies. Oversee questionnaire design, sampling, weighting, vendor quality, analysis, and clear communication of uncertainty and limitations. - Lead qualitative research, including interviews and focus groups, to understand how people interpret complex policy topics. Use these insights to improve the clarity, accuracy, and usefulness of policy communications. - Turn findings into executive-ready reports with practical recommendations for Policy, Communications, Product, Marketing, Data Science, Legal, Privacy, and other partners. Build reusable research tools, benchmarks, and knowledge that strengthen decision-making over time. We’re looking for someone with: - We’re looking for a senior mixed-methods research leader who combines deep quantitative and qualitative expertise with strong strategic judgment. You should be able to independently turn an ambiguous policy communications question into a rigorous well-scoped research plan, a clear interpretation of the evidence, and practical recommendations that teams can use. - You might thrive in this role if you: - Bring substantial experience leading public-opinion, communications, policy, market, or behavioral research in a complex or fast-moving environment. - Have deep survey-methods expertise, including questionnaire design, sampling, weighting, panel and vendor quality, experimentation, statistical analysis, longitudinal research, and clear treatment of uncertainty. - Design and conduct or oversee strong qualitative research, including recruitment, interviewing or moderation, synthesis, and integration with quantitative findings. - Have experience designing research across varied populations and judging whether a sample can support the conclusions being drawn. - Translate research into clear communications, policy, and product recommendations, and influence senior cross-functional partners when evidence challenges a preferred direction. - Communicate complex methods and findings clearly; manage research vendors, budgets, timelines, privacy, and research ethics; and build durable systems that let organizational learning compound. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Enterprise Field Marketer
About the Team The Enterprise Marketing team helps the world’s largest organizations understand, adopt, and scale AI responsibly. We partner closely with Sales, Solutions, Product Marketing, Customer Success, Events, and executive leadership to create programs that accelerate strategic customer growth and strengthen OpenAI’s position as the leader in enterprise AI. Within Enterprise Marketing, the Field Marketing team is responsible for translating business priorities into high-impact customer engagement motions across industries, regions, and strategic accounts. We build and run programs that create pipeline, accelerate opportunities, deepen executive relationships, and bring OpenAI’s latest innovations directly to enterprise decision-makers. About the Role As an Enterprise Field Marketer, you will be a growth partner to Enterprise Sales, owning field marketing programs that create pipeline, accelerate strategic opportunities, and deepen relationships with priority enterprise accounts. You will own the full program lifecycle: translating sales priorities into field plans, identifying the right accounts and moments, executing high-quality customer programs, driving follow-up with sellers, and measuring business impact. This is a hands-on role for someone who can move from territory strategy to tactical execution quickly, with strong commercial judgment and high accountability for outcomes. This role is based in San Francisco, CA or New York City. We use a hybrid work model of 3 days in the office per week and offer relocation assistance. Travel is expected for customer events, executive programs, industry conferences, and internal planning moments. In this role, you will: - Build and execute field marketing plans aligned to priority seller groups, strategic accounts, industries, and regions. - Partner closely with Sales leadership on account prioritization, territory planning, outreach strategy, pipeline goals, and follow-through. - Own the full lifecycle of field programs, from strategy and planning through execution, seller enablement, follow-up, and measurement. - Run high-impact customer programs including executive dinners, roundtables, forums, workshops, industry moments, roadshows, and third-party conference activations. - Turn marquee moments into measurable pipeline opportunities with clear target accounts, success metrics, seller ownership, and post-event conversion plans. - Collaborate with Product Marketing, Events, Comms, Marketing Operations, Solutions, Customer Success, Partnerships, and executive stakeholders to deliver compelling customer experiences. - Track performance, communicate business impact, and build repeatable playbooks that help field marketing scale across enterprise segments. You might thrive in this role if you: - Have 8+ years of experience in enterprise field marketing, ABM, regional marketing, sales enablement, or related B2B growth roles supporting complex sales motions. - Have a track record of creating measurable pipeline impact through field programs, executive engagement, account-based programs, or industry marketing. - Understand enterprise buying cycles, pipeline creation, stage progression, and how field marketing can influence seller productivity. - Have partnered closely with enterprise sellers and sales leadership on territory planning, account prioritization, QBRs, pipeline reviews, and follow-up. - Can operate across strategy and execution: you can shape the plan, manage stakeholders, and personally drive the details. - Are highly organized, commercially minded, resourceful, and comfortable making progress when inputs are incomplete. - Communicate clearly and can influence senior stakeholders across Sales, Marketing, Product, and customer-facing teams. - Are energized by AI and excited to help enterprises turn new technology into measurable business value. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Delivery Lead
About the Team Our strategic customers are increasingly running multiple deployment workstreams at once across areas such as Frontier, workforce intelligence, software engineering, cybersecurity, AI infrastructure, and AI distribution. The Delivery Lead is deployed selectively when a strategic customer has multiple materially interdependent delivery workstreams and no single workstream owner can resolve the dependencies between them. The Account Director (AD) continues to own account strategy, executive relationships, commercial outcomes, and use-case prioritization; technical delivery owners own solution design and execution within each workstream. The Delivery Lead owns the cross-workstream delivery contract—the integrated critical path, shared dependencies, program-level launch gates, resource conflicts, and time-bound escalation—and has delegated authority to drive those decisions. This is a senior delivery leadership role for someone who can make program-level tradeoffs, turn cross-workstream ambiguity into decisions, and protect the integrated critical path without absorbing the AD’s or technical delivery owners’ accountability. It is not a general account-advisory or coordination role. About the Role The Account Director (AD) owns account strategy, executive relationships, the commercial plan, use-case selection and prioritization, and the customer-outcome narrative. Technical delivery owners own solution design and execution within individual workstreams. The Delivery Lead is assigned only when multiple workstreams have material dependencies and owns the program-level critical path, cross-workstream sequencing, integrated launch gates, resource-contention decisions, and delivery-risk escalation. Within the agreed scope, the Delivery Lead has delegated authority to require a decision, set program milestones, re-sequence dependent work, and call a readiness hold. Changes to customer priority, use-case scope, or commercial commitments return to the AD; technical decisions remain with the technical delivery owner. The Delivery Lead does not create a second customer success plan, own individual use cases, manage technical resources day to day, or sit between the customer and the teams doing the work. Success is measured by the time required to resolve cross-workstream blockers, schedule predictability, integrated launch readiness, and clean handoffs—not by the number of meetings, status artifacts, or resources coordinated. The Delivery Lead stands down or hands off program-level governance once cross-workstream dependencies no longer require a dedicated owner. In this role, you will: - Own the cross-workstream delivery contract for designated multi-workstream programs, including the integrated critical path, shared dependencies, program-level commitments, decision owners, and launch gates. - Set the integrated critical path and program milestones, while leaving solution design and workstream execution with the relevant technical delivery owners. - Secure named decision owners and time-bound resolution for cross-workstream blockers before they become executive surprises. - Drive cross-workstream sequencing and capacity tradeoffs within the agreed scope; return changes to customer priority, use-case scope, or commercial commitments to the Account Director, and technical decisions to the relevant technical owner. - Run one program-level decision and dependency cadence that consumes, rather than duplicates, account and individual workstream cadences. - Resolve cross-workstream resource conflicts with functional leaders; staffing and day-to-day direction within each workstream remain with the relevant functional or technical owner. - Translate the customer priorities and outcomes agreed by the Account Director into program-level acceptance criteria, and provide delivery evidence back to the account team. - Define and enforce integrated launch and handoff gates, including the authority to call a readiness hold when cross-workstream criteria are not met. - Provide leadership with a forward-looking view of program health, material risks, decisions required, and the integrated path to production and scale. You might thrive in this role if you have: - Experience leading complex enterprise customer programs, transformation initiatives, or large-scale technology deployments. - Strong technical aptitude and the ability to understand AI/ML systems, APIs, integrations, enterprise architecture, security dependencies, and deployment-readiness risks. - Demonstrated ability to translate customer and business outcomes into actionable execution plans with clear milestones, owners, dependencies, and success measures. - Strong judgment under ambiguity and a track record of identifying risk early, separating signal from noise, and driving clear decisions. - Ability to exercise delegated program-level authority while working across teams outside the reporting line, with clear judgment about what belongs to the account owner, the Delivery Lead, and the technical delivery owner. - Excellent cross-functional communication skills, with the ability to operate effectively with executives, technical teams, customer operators, and functional partners. - Strong operational discipline and experience building scalable cadences, artifacts, and mechanisms that improve execution. - Commercial and customer-value orientation, with an ability to connect delivery execution to measurable outcomes and account health. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Data Center Hardware Quality & Reliability Enginee...
About The Role Own the end-to-end data-center hardware quality and reliability loop for OpenAI’s 3P infrastructure and 1P current and next-gen platforms. Turn field failures into quantified risk, fast containment, verified root cause, improved MQE/NPI and manufacturing-test coverage, accurate spares forecasts, and upstream changes that prevent recurrence. The first hire must combine practical hardware/system understanding, reliability engineering, data fluency, and cross-functional technical leadership at data-center scale. Key Responsibilities • Build and govern the field-quality data model across telemetry, tickets, RMA/repair, FA, firmware, configuration, supplier, and manufacturing genealogy. • Define AFR, ASR, DPPM, MTBF/MTTR, repeat-repair, NTF, repair-cycle-time, and forecast-versus-actual metrics with explicit denominators and uncertainty. • Provide fleet-level macro views and unit/FRU/cohort-level micro views; detect shifts and bound affected populations. • Lead systemic field-failure triage, containment, failure analysis, 8D/CAPA, risk assessment, corrective-action verification, and recurrence monitoring. • Develop cohort, life-data, reliability-growth, and spare-demand projections by product, FRU, supplier, configuration, geography, and age. • Partner with MQE and NPI to convert field mechanisms into manufacturing-test coverage, screening/stress profiles, diagnostics, control plans, DFR/DFS requirements, FMEA/FTA, mission profiles, FRU strategy, and qualification gates. • Close the loop by verifying whether upstream changes reduce field recurrence. • Define supplier/CM FA standards, field-data contracts, scorecards, escalation paths, and closure evidence. • Provide serviceability, TCO, and spares inputs without owning inventory execution or procurement. • Create concise executive decision packages: population at risk, exposure, confidence, options, cost/risk, and recommendation. • Run the cross-functional reliability council and, as the team grows, mentor the 1P and 3P Field Quality Engineers. Qualifications • BS in electrical, mechanical, computer, materials, reliability engineering, physics, or equivalent experience; MS preferred. • 8+ years in hardware quality/reliability, server/rack systems, or mission-critical infrastructure; 3+ years owning field-failure, RMA, or CAPA outcomes. • Solid working understanding of hardware and system architecture across board, tray, rack, firmware, telemetry, manufacturing test, and fleet behavior; deep expertise in every subsystem is not required. • Reliability statistics: censored life data, Weibull/Poisson/binomial methods, confidence bounds, MTBF/MTTR, and reliability growth. • Hands-on FMEA/FTA, accelerated or reliability-demonstration testing, 8D/CAPA, FA, and corrective-action verification. • Working proficiency with SQL and Python/R or equivalent analytics tools. • Ability to influence design, validation, operations, suppliers/CMs, and senior leaders without direct authority. Preferred Skills • GPU/AI server platforms, liquid cooling, high-power delivery, high-speed networking, rack integration, or data-center operations. • Design for serviceability: FRU boundaries, diagnostics, repair workflows, tooling/access, and spares policy. • Qualification-to-field correlation and mission-profile development. • ODM/CM/supplier experience: FA quality, audit, QBR, and corrective-action governance. • Linux/BMC/IPMI/Redfish logs and fleet telemetry. • Leadership of a cross-generation reliability program or launch-readiness gate. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Strategic Delivery Lead, Cyber
About the team The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise, ChatGPT Gov) and mission-aligned deployments that meet government technical requirements with strong reliability and safety. As part of the OpenAI for Government team you will work across the U.S. national security and cyber ecosystem, helping to accelerate adoption through hands-on support, tailored training, and early insights—so civil servants can spend less time on red tape and more on meaningful work. You will partner with government organizations to identify high-impact opportunities, translate complex cyber mission challenges into AI-enabled solutions, and drive secure deployments that help cyber professionals move faster and operate more effectively. If you're passionate about responsibly deploying frontier AI to uplift public institutions, strengthen cyber resilience, and transform how the government serves the American people, we want you on our team. About the Role The Strategic Delivery Lead (Cyber) will identify and deliver on some of OpenAI’s most complex and high-impact deployments for the U.S. national security and cyber enterprise. In this role, you will work closely with our national security partners and cyber mission owners to make their hardest problems solvable on the OpenAI Platform API and ChatGPT Enterprise. The role is highly cross-functional and customer-facing: You’ll partner with Research, Engineering, Go-to-Market, Forward Deployed Engineers, Solutions Architects, security teams, and external stakeholders to align on scope, unblock delivery, and communicate progress at every level, from technical teams to C-suite. You will own and drive execution of technical delivery workstreams led by internal teams (Forward Deployed Engineers, Researchers, Solutions Architects), ensuring clear problem-framing, crisp milestone definitions, proactive risk identification, rapid issue resolution, and effective translation between business objectives and cyber mission requirements and technical solutions, while consistently communicating clear progress and demonstrating tangible value to national security customers. Accountability for contractual milestones and acceptance criteria sits with you. This is a high-trust, high-autonomy role. Success requires deep program management expertise, executive presence, experience operating in cyber or national security environments, and a passion for making novel technology deliver real-world value. In this role, you will: - Forge and manage strategic partnerships with key national security and cyber mission users to identify and deliver on the most impactful AI and AGI use cases. - Serve as the accountable lead for delivering high-impact national security and cyber-focused engagements tied to defined contractual milestones. - Act as a key translator between technical teams and business stakeholders, clearly articulating technical progress, risks, requirements, and dependencies in language accessible to both senior executives and technical practitioners. - Work with government, defense, industry partners, and academia to identify key concepts for national security AI use including cyber defense, threat intelligence, security operations, incident response, and vulnerability management workflows and then translate them into actionable delivery plans that align technical feasibility with national security impact. - Partner deeply with technical teams (FDEs, SAs, Research) to frame complex business and technical problems into actionable, scoped projects, serving as a strategic sounding board and thought leader to guide technical direction, anticipate blockers, and align teams proactively. - Establish best practices around milestone tracking, internal coordination, and delivery operations at scale. - Build internal consensus across teams with competing priorities, secure commitments from stakeholders you do not manage, and drive complex projects to completion with limited dedicated resources - Lead regular progress reviews with national security and cyber stakeholders, ensuring transparency and confidence in delivery. - Identify delivery risks early and work cross-functionally to mitigate blockers and maintain program velocity. - Navigate ambiguity and evolving requirements with composure, helping internal and external teams stay aligned. - Help shape the future of how OpenAI engages with national security and cyber customers through milestone-based delivery programs. You’ll thrive in this role if you: - Have 10+ years of experience in cybersecurity, national security consulting, delivery leadership, or senior program management roles, driving complex technical initiatives across cross-functional teams to deliver results for national security missions. - Active U.S. Government TS/SCI clearance, with a strong preference for an active Counterintelligence or Full Scope Polygraph - Are willing to travel up to 50% and work on-site with national security and cyber customers to build strong relationships and deeply understand their needs. - Have experience leading organizational transformation initiatives (AI, digital, or business transformation) directly with national security departments or agencies. - Have led complex national security or cyber-focused programs in enterprise SaaS, AI/ML, consulting, cybersecurity, or transformation environments. - Have a proven track record influencing and shaping customer decision-making at executive/board level and the ability to drive clarity, accountability, and alignment at senior levels. - Demonstrated experience delivering outcomes in lean, fast-moving environments by influencing without authority, making thoughtful tradeoffs, and mobilizing cross-functional teams around the highest-priority work. - Strong track record of execution in delivering ambitious goals on complex cross-functional projects. - Prior experience managing large scale AI/ML or enterprise API-based deployments. - Are passionate about how AI and AGI can enhance the national security mission and strengthen cyber capabilities. - Thrive in extremely ambiguous, fast-moving environments and can create clarity and momentum where none yet exists. - See yourself as a bridge between frontier AI research and cyber mission impact, and are motivated by enabling that connection. - Care about mission impact and want to help national security customers use AI responsibly and effectively. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Recruiter, G&A
About this Team At OpenAI, we’re here to do something extraordinary: build safe AGI that benefits everyone. That mission demands people who are not just brilliant but also deeply aligned with our values. Our Recruiting team is the gateway—connecting exceptional humans to meaningful, high-impact work. We’re a close-knit, mission-driven crew that takes pride in thoughtful, relationship-first hiring. We partner deeply with teams across OpenAI to find, engage, and support the people who will shape the future of AI. About this Role We are looking for an experienced Recruiter specializing in G &A functions to join our team. This role involves leading full-cycle recruitment efforts, from initial role definition to offer acceptance, focusing on building robust teams across various teams. Reporting to ourGlobal Head of Business Recruiting , you will collaborate closely with hiring managers and global recruitment colleagues to ensure a seamless and effective hiring process. In this role, you will: - Manage full-cycle recruitment for G&A roles, including identifying talent needs, managing the recruitment process, and negotiating offers. - Work directly with business leaders to understand departmental objectives and develop proactive hiring strategies that align with organizational goals. - Ensure an outstanding candidate experience by representing OpenAI professionally and upholding our commitment to diversity and inclusion in all hiring practices. - Collaborate with internal teams such as HR, Legal, and Compensation to ensure compliance and operational excellence throughout the recruitment lifecycle. - Utilize advanced sourcing strategies and tools to attract and engage top-tier candidates, with a focus on enhancing diversity within our teams. - Provide expert advice and support to hiring managers on best practices in interviewing, candidate evaluation, and employment branding. You might thrive in this role if you have: - 5+ years of full-cycle recruiting experience, particularly within in-house environments at high-growth companies. - A strong track record of hiring for G&A roles. - Excellent communication skills and the ability to engage effectively with diverse teams and stakeholders across cultures. - A high level of adaptability in fast-paced, evolving environments—balancing strategic vision with hands-on execution. - A continuous improvement mindset and the ability to evolve processes to meet global hiring needs. - Proficiency with ATS and sourcing platforms such as Ashby, LinkedIn Recruiter, and other modern recruitment tools. Workplace & Location This role can be based in our San Francisco or New York City office. We are also considering applications to work remotely from within the U.S. If you're remote, we ask that you're open to occasional visits to our HQ when it makes sense for your role. When applying, let us know which location(s) work for you. If you're joining us in person, we offer relocation support and follow a hybrid schedule: three days a week in the office, with the option to work from home on Thursdays and Fridays. Our offices are set up for focus and connection—with adjustable desks, phone booths, conference rooms, stocked kitchens, and cozy spots to unwind or catch up with teammates. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Program Manager, Government Trusted Access
About the Team OpenAI for Government works with U.S. and allied government institutions to support the responsible adoption of AI across defense, intelligence, federal civilian, state and local, and international public-sector missions. We help public servants use frontier AI in ways that are effective, trusted, and grounded in real-world requirements for safety, reliability, security, compliance, and accountability. Government Trusted Access programs help eligible public-sector organizations and practitioners use advanced capabilities for approved, high-value work in sensitive domains. These programs bring together OpenAI for Government, Product Policy, Legal, Security, International, Research, User Operations, Technical Success, Global Affairs, and domain experts. Each program has distinct eligibility criteria, safeguards, and decision owners; our job is to make the overall government experience coherent and executable. About the Role We are seeking a Program Manager to coordinate OpenAI’s Government Trusted Access portfolio across high-trust domains, such as cyber and bio. You will build and run the operating mechanisms that move government participants from initial interest through review, onboarding, activation, ongoing support, and program improvement. The right person is a highly organized, low-ego operator who can move between strategy and detail. You are comfortable working across technical, policy, legal, safety, security, customer, and operational teams; you build durable systems without adding unnecessary process; and you communicate clearly when facts, ownership, or requirements are still evolving. This role is based in Washington, DC. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: - Coordinate government participation across domain-specific Trusted Access programs, including cyber and biology, while helping stand up future programs as the portfolio evolves. - Own the end-to-end program operating rhythm across intake, qualification, review, approval, onboarding, activation, ongoing support, renewal, and offboarding. - Maintain a clear portfolio view of applicants and participating organizations, access levels, requirements, owners, dependencies, commitments, risks, and decisions needed. - Build practical program mechanisms such as roadmaps, ownership maps, decision logs, risk registers, service standards, operating reviews, dashboards, and executive updates. - Coordinate cross-functional reviews across OpenAI for Government, Safety, Product Policy, Legal, Security, Product, Research, User Operations, Technical Success, Global Affairs, and domain experts. - Preserve clear decision boundaries: ensure the right domain owner makes eligibility, policy, safety, security, and access decisions while keeping the broader process moving. - Identify stalled reviews, broken handoffs, unclear ownership, capacity constraints, and recurring operational gaps; bring the right context, options, and recommendation to resolve them. - Partner with government-facing teams to set accurate expectations, coordinate participant communications, and ensure commitments are tracked through completion. - Define and monitor program health through measures such as review time, backlog age, onboarding completion, activation, support demand, participant outcomes, and operational risk. - Turn manual and one-off work into scalable workflows, documentation, training, automation, and tooling while retaining appropriate human judgment for sensitive decisions. - Capture lessons across domains and translate them into reusable operating patterns without flattening meaningful differences between programs. You might thrive in this role if you: - Have 5–10 years of experience in program management, strategy and operations, product operations, trust and safety, risk operations, support operations, government technology, implementation, or a related field. - Have led complex, cross-functional programs from an ambiguous problem statement through launch and steady-state operation. - Can build trust and drive alignment without direct authority while keeping ownership, accountability, and escalation paths clear. - Can translate technical, policy, legal, safety, security, and customer requirements into practical workflows and decision structures. - Are analytically fluent and comfortable using operational data, dashboards, case-management systems, and lightweight automation to identify bottlenecks and improve program health. - Communicate clearly and directly with technical teams, operators, government stakeholders, and executives, especially when evidence is incomplete or tradeoffs are sensitive. - Learn unfamiliar domains quickly, ask strong questions, and know when to bring in specialists rather than overstate your own expertise. - Operate calmly in a fast-moving environment, exercise sound judgment with sensitive information, and follow through reliably on details and commitments. - Experience supporting government, public-sector, national-security, regulated, or other security-conscious organizations. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
AI Support Engineer - Toronto (Weekend Shift)
About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale. Note: each person in this role will be expected to work a standard 5x8 work week, with 1 of the days covering weekend shifts each week (e.g., work weeks covering Tuesday - Saturday or Sunday - Thursday) You’ll be responsible for: - Working directly with customers to troubleshoot and resolve their most complex technical issues, including API failures, integration challenges, authentication errors, and production incidents. Providing end-to-end ownership through debugging logs, analyzing system behavior, reproducing issues, and delivering expert guidance. - Becoming a trusted expert on OpenAI’s products and platform, serving as a go-to resource for complex technical issues. - Serving as a critical escalation point and line of defense for complex technical issues, partnering closely with customers and Engineering teams to troubleshoot, resolve, and proactively prevent recurring problems while leveraging scripting and emerging AI capabilities to improve internal tooling and automate operational workflows - Taking learnings from resolving customer issues and creating our approach to scaling these solutions, partnering with Product and Go-To-Market teams. - Driving operational excellence by identifying opportunities for automation and AI-powered workflows, implementing scalable improvements that increase team efficiency, reducing manual effort, and elevating the overall support experience. - Providing occasional holiday and weekend support on call coverage, as needed, to support business and customer needs. You might thrive in this role if you have: - Have 8+ years of experience in User Operations, Engineering, Support Engineering or similar technical roles, ideally within high-growth tech startups or other fast-paced environments. - Are comfortable using emerging technologies (ie. Codex, ChatGPT, OpenAI API, etc.) to script or engineer code (e.g., Python) for automating repetitive tasks and integrating tools. - Have expert-level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts. - Polished enterprise communication and are calm with high-stakes customers during live incident calls - Proven experience building strong relationships with customers and cross-functional partners to drive resolution to complex issues. - Exceptional critical thinker and problem solver with the ability to clearly communicate complex technical issues to both customers and internal teams. - Thrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth. - Bring a humble, team first mindset, a genuine eagerness to help others, and the curiosity to quickly learn whatever knowledge is needed to help both your teammates and our customers succeed. - Bachelor’s degree in Computer Science, Computer Engineering, another relevant technical field, or equivalent practical experience. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
State and Local Affairs Lead, West
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a State and Local Affairs Lead to engage with state and local governments in the Western United States, advancing AI policy, legislation, and regulation that supports Anthropic's mission of ensuring that the world safely makes the transition through transformative AI. In this role, you will report to Anthropic's Head of Western State and Local Affairs and coordinate with our Policy leadership, Communications, and Legal teams. You will own Anthropic's relationships and legislative and regulatory work across many Western states, including a support role in California —engagement with state legislatures, governors' offices, attorneys general, state agencies, and local governments. You will travel regularly across the region. Successful candidates will demonstrate a track record of political strategy and execution—with specific examples of how you have contributed to complex policy campaigns, built durable relationships with elected officials and community leaders, supported legislative and regulatory outcomes, and executed with accountability and focus in fast-moving environments. Anthropic is equal parts research lab, policy think-tank, and technology startup. We care deeply about safe development of AI systems, and build partnership with governments through proactive, opinionated, substantive policy conversations. We recognize that our approach to AI policy is distinctive—grounded in honest assessment of technological trajectories and authentic concern for safe scaling—and we need a regional lead who can bring that positioning to life at the state and local level. This role offers an opportunity to be part of building a high-impact state affairs operation at a critical moment for AI policy. You will be responsible for executing on strategic priorities across your region, building relationships with government stakeholders, and contributing to the broader state affairs function. Key responsibilities - Serve as Anthropic's lead for state and local government affairs across many Western states, working in close coordination with the Head of Western States and other Regional State and Local Affairs Leads - Build and maintain relationships with state legislators, legislative staff, governors' offices, attorneys general, and state agency leaders across your region - Engage directly with local officials whose decisions affect Anthropic's work—mayors, city councils, county commissions, and economic development boards - Track state and local legislation and regulatory proceedings affecting AI and the technology sector, provide analysis and intelligence to inform company strategy, and represent Anthropic's positions - Build durable partnerships with local and regional organizations, including chambers of commerce, economic development groups, labor organizations, universities, and school districts - Represent Anthropic at legislative hearings, regional events, and public forums, including with audiences who are skeptical of AI - Work with the Communications team to develop clear, accurate messaging for regional policy campaigns - Translate Anthropic's technical research and policy positions into engagement strategies tailored to Western state political environments - Manage the outside advisors and registered lobbyists who support Anthropic's work in your region - Coordinate with Anthropic's policy, communications, legal, and executive teams to ensure that regional activity aligns with company-wide positioning Minimum qualifications - Align with our mission and embrace the imperative of policy impact and change - Have experience in state and local government affairs, political strategy, or legislative roles, with demonstrated success contributing to legislative and regulatory outcomes - Have existing relationships with state and local leaders in the West, including legislators, governors' offices, attorneys general, or county and municipal officials - Understand how state legislatures and executive branches work—committee processes, legislative and regulatory procedures, and how to move policy forward—and understand where local authority begins and ends - Have a track record of executing on strategic objectives and delivering measurable outcomes in government affairs roles - Are prepared to travel regularly across the region Preferred qualifications - Have 8+ years of experience in state and local government affairs, political strategy, or legislative roles - Have experience building partnerships with external organizations including chambers of commerce, economic development groups, labor organizations, and universities - Have exposure to technology policy or emerging technology regulation; you understand the unique challenges of navigating policy for rapidly evolving technologies - Demonstrate understanding of how to build coalitions and identify aligned constituencies to advance shared objectives - Can manage multiple priorities and stakeholder relationships across different states and adapt to different political environments - Can work well under time pressure and manage competing demands - Can translate complex technical topics into clear, accessible language for policymakers and residents alike - Have experience working with communications teams to develop effective messaging for policy campaigns - Are comfortable being honest about tradeoffs, including in rooms where people disagree with us - Are drawn to working with an organization that approaches AI policy with intensity and intellectual honesty The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 - $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
State and Local Affairs Lead, Midwest
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a State and Local Affairs Lead to lead Anthropic's engagement with state and local governments across the Midwestern United States, advancing AI policy, legislation, and regulation that supports Anthropic's mission of ensuring that the world safely makes the transition through transformative AI. In this role, you will work closely with Anthropic's other Regional State and Local Affairs Leads, as well as coordinate with our Policy leadership, Communications, and Legal teams. You will own Anthropic's relationships and legislative and regulatory work across the Midwest — engagement with state legislatures, governors' offices, attorneys general, state agencies, and local governments. You will travel regularly across the region. Successful candidates will demonstrate a track record of political strategy and execution — with specific examples of how you have contributed to complex policy campaigns, built durable relationships with elected officials and community leaders, supported legislative and regulatory outcomes, and executed with accountability and focus in fast-moving environments. Anthropic is equal parts research lab, policy think-tank, and technology startup. We care deeply about safe development of AI systems, and build partnership with governments through proactive, opinionated, substantive policy conversations. We recognize that our approach to AI policy is distinctive — grounded in honest assessment of technological trajectories and authentic concern for safe scaling — and we need a regional lead who can bring that positioning to life at the state and local level. This role offers an opportunity to be part of building a high-impact state affairs operation at a critical moment for AI policy. You will be responsible for executing on strategic priorities across your region, building relationships with government stakeholders, and contributing to the broader state affairs function. Key responsibilities - Serve as Anthropic's lead for state and local government affairs across the Midwestern United States, working in close coordination with the other Regional State and Local Affairs Leads - Build and maintain relationships with state legislators, legislative staff, governors' offices, attorneys general, and state agency leaders across your region - Engage directly with local officials whose decisions affect Anthropic's work — mayors, city councils, county commissions, and economic development boards - Track state and local legislation and regulatory proceedings affecting AI and the technology sector, provide analysis and intelligence to inform company strategy, and represent Anthropic's positions - Build durable partnerships with local and regional organizations, including chambers of commerce, economic development groups, labor organizations, universities, and school districts - Represent Anthropic at legislative hearings, regional events, and public forums, including with audiences who are skeptical of AI - Work with the Communications team to develop clear, accurate messaging for regional policy campaigns - Translate Anthropic's technical research and policy positions into engagement strategies tailored to Midwestern state political environments - Manage the outside advisors and registered lobbyists who support Anthropic's work in your region - Coordinate with Anthropic's policy, communications, legal, and executive teams to ensure that regional activity aligns with company-wide positioning Minimum qualifications - Align with our mission and embrace the imperative of policy impact and change - Have experience in state and local government affairs, political strategy, or legislative roles, with demonstrated success contributing to legislative and regulatory outcomes - Have existing relationships with state and local leaders in the Midwest, including legislators, governors' offices, attorneys general, or county and municipal officials - Understand how state legislatures and executive branches work — committee processes, legislative and regulatory procedures, and how to move policy forward — and understand where local authority begins and ends - Have a track record of executing on strategic objectives and delivering measurable outcomes in government affairs roles - Are prepared to travel regularly across the region Preferred qualifications - Have 8+ years of experience in state and local government affairs, political strategy, or legislative roles - Have experience building partnerships with external organizations including chambers of commerce, economic development groups, labor organizations, and universities - Have exposure to technology policy or emerging technology regulation; understand the unique challenges of navigating policy for rapidly evolving technologies - Demonstrate understanding of how to build coalitions and identify aligned constituencies to advance shared objectives - Can manage multiple priorities and stakeholder relationships across different states and adapt to different political environments - Can work well under time pressure and manage competing demands - Can translate complex technical topics into clear, accessible language for policymakers and residents alike - Have experience working with communications teams to develop effective messaging for policy campaigns - Are comfortable being honest about tradeoffs, including in rooms where people disagree with us - Are drawn to working with an organization that approaches AI policy with intensity and intellectual honesty The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 - $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Staff Security Engineer, Detection & Response
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Anthropic's models grow more capable, so does the interest of people who want to attack or misuse them. The Detection and Response (D&R) team spots those threats and responds to incidents across every layer of Anthropic's technology stack. The team is early-stage, so you'll help build our detection and response capabilities from the ground up and work closely with our security and research teams. Key responsibilities - Lead incident response across a range of domains, from external attacks to insider threats, spanning all layers of Anthropic's technology stack - Build and deploy tooling, including tools that use large language models, to improve how we detect and respond to threats - Create and tune detections, playbooks, and workflows to catch and respond to incidents quickly - Review incident response metrics and procedures, and drive improvements - Work across security and engineering teams - Take part in an on-call rotation Minimum qualifications - Experience handling security incidents and investigating anomalies as part of a team - Working knowledge of EDR, SIEM, SOAR, or similar security tooling - A solid understanding of cloud environments and operations - Experience working with engineering teams in a SaaS environment - Proficiency with a scripting language such as Python and query languages such as SQL - Strong communication and collaboration skills - Able to lead projects with little guidance - Able to pick up new languages and technologies quickly Preferred qualifications - 7+ years of software engineering experience, or 7+ years of detection engineering, incident response, or threat hunting experience - Security operations or investigations involving large-scale Kubernetes environments - Experience analyzing attack behavior and prototyping high-quality detections - Experience with threat intelligence, malware analysis, infrastructure as code, or forensics - Experience contributing to a high-growth startup environment Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Recruiter, Go-To-Market (GTM)
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is seeking an experienced GTM Recruiter to join our recruiting team. In this role, you'll partner closely with GTM leaders to hire the people who will shape how Anthropic operates, grows, and delivers on its mission. This role requires someone who can assess not just functional expertise, but also alignment with our values and the adaptability required to thrive in a fast-paced, high-growth environment. Responsibilities: - Lead end to end recruiting for GTM roles - Develop and execute strategic recruiting plans, including competitive mapping, targeted sourcing, and building long-term talent pipelines - Build trusted partnerships with GTM leadership to understand business priorities, team structures, ideal candidate profiles, and required competencies across different functions - Create exceptional candidate experiences that showcase Anthropic's mission, growth trajectory, and unique growth opportunity for GTM professionals - Design and implement scalable recruiting processes that effectively assess functional expertise, business acumen, and cultural alignment - Track recruiting metrics and use data to identify bottlenecks, optimize processes, and maintain a high-quality hiring bar - Coach hiring managers on recruiting best practices, interview techniques, and strategies for building diverse, high-performing teams You may be a good fit if you: - Have 5+ years of full-cycle recruiting experience with meaningful exposure to GTM functions - Are comfortable working in ambiguous environments and help hiring teams build structure and excellent recruiting practices - Have strong stakeholder management skills - you can share examples of frameworks you've built that drive hiring while coaching teams to improve their recruiting - Are highly organized with strong attention to detail - you stay on top of data integrity and maintain regular touchpoints with candidates and hiring managers - Are comfortable analyzing recruiting data and can connect key metrics to monitor recruiting health and maintain a great hiring experience - Are passionate about AI's potential to positively impact the world while understanding its risks and limitations Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Recruiter, Communications
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for a Recruiter to partner with our Communications team. This team tells Anthropic's story across corporate, product, executive, and internal communications. In this role, you will be the team's primary recruiter. You will own searches from intake through offer, and you will advise leaders on where the talent is, what it costs, and how to win it. The best communicators are rarely looking, so finding them is the job. As the team grows, you may also support hiring for Brand and Marketing. Key responsibilities - Have a passion for AI's potential to positively impact the world, and a realistic view of its risks and limitations - Have recruited for communications, PR or adjacent roles, and understand what great looks like in that craft - Know how to find and engage candidates who are passive through a variety of creative channels - Build trust with senior leaders, and have the confidence to push back with data - Write clearly and pay close attention to detail, because candidates and comms leaders will notice both - Run a tight, high-touch process that respects candidates' time and helps hiring managers decide quickly - Turn hiring data into clear recommendations, not just status updates - Thrive in a fast-paced environment and handle executive and confidential searches with discretion Preferred qualifications - Have 10+ years of full-lifecycle recruiting experience, with a track record of closing senior, hard-to-fill roles - Experience hiring for a high-growth technology company whose public narrative matters - A network across media, agency, and in-house communications talent - Experience supporting executive hiring - Experience using AI tools in your daily work, and are curious about where they can take recruiting next The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $240,000 - $295,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Member of Technical Staff (New Grad)
Welcome! This is the general application portal for university students and recent graduates who wish to be considered for full-time Member of Technical Staff positions at Perplexity. Our elite new grad cohorts enjoy unparalleled mentorship, top-of-market compensation, and the chance to tackle some of the deepest, thorniest challenges in frontier intelligence https://www.perplexity.ai/hub/blog/category/research. NOTE: if you attend one of our focus schools listed below, please do not apply via this portal as it is infrequently monitored due to high volume. Apply instead via the school-specific application portal below to ensure your application receives priority attention. FOCUS SCHOOLS (UNITED STATES) - APPLICATION PORTALS Caltech https://pplx.ai/2026Caltech | Columbia https://pplx.ai/2026Columbia | Cornell https://pplx.ai/2026Cornell | CMU https://pplx.ai/2026CMU | Duke https://pplx.ai/2026Duke | Georgia Tech https://pplx.ai/2026GATech Harvard https://pplx.ai/2026Harvard | MIT https://pplx.ai/2026MIT | Michigan https://pplx.ai/2026Michigan | Northwestern https://pplx.ai/2026Northwestern | NYU https://pplx.ai/2026NYU | Penn https://pplx.ai/2026Penn Princeton https://pplx.ai/2026Princeton | Purdue https://pplx.ai/2026Purdue | Stanford https://pplx.ai/2026Stanford | UC Berkeley https://pplx.ai/2026Berkeley | UChicago https://pplx.ai/2026UChicago UCLA https://pplx.ai/2026UCLA | UIUC https://pplx.ai/2026UIUC | UNC Chapel Hill https://pplx.ai/2026UNC | UT Austin https://pplx.ai/2026UTAustin UWashington https://pplx.ai/2026UW | Yale https://pplx.ai/2026Yale FOCUS SCHOOLS (CANADA) - APPLICATION PORTALS McGill https://pplx.ai/2026McGill | UBC https://pplx.ai/2026UBC | UToronto https://pplx.ai/2026UToronto | Waterloo https://pplx.ai/2026Waterloo EARLY CAREER TALENT @ PERPLEXITY Perplexity believes that exceptionally talented individuals at any stage can thrive in our high-velocity, high-ownership culture. Our early career talent program revolves around: - Breadth: New grads at Perplexity work across the stack, from Perplexity's agent harnesses to our AI inference and training systems. Many of our most beloved features and most important systems were shipped by individuals fresh out of school. - Depth: New grads are entrusted (and expected) to dive deep into whatever problem domains you work on. Often, your work will require you to become a world expert in some problem space that few others in the world have encountered. - Mentorship & Growth: We keep the size of our entering new grad cohorts at well below 10% of our technical team. Each individual enjoys a rich network of mentors to help them grow, and our new grads have a track record of becoming some of Perplexity's most senior and prolific team members. - Recognition: We select for the best and we recognize them accordingly. We set our early career compensation to rise well above that of top tech companies and startups. Post-hire, we aggressively recognize and reward growth in role. - Mission: Perplexity is AI for people who expect more. Our mission is to build frontier intelligence for the world's most discerning users, and each contribution you make will directly advance that mission. ACADEMIC REQUIREMENTS If you're not applying from a focus school listed above, we typically require you to possess the following qualifications: 1. GPA of ≥3.92, averaged across all CS and Math classes; and 2. Grade of A or A+ in your school's upper-level algorithms course. Additional advanced coursework in areas such as systems, AI/ML, advanced math, and other rigorous subjects is highly welcome. NON-QUALIFYING APPLICATIONS - EVIDENCE OF EXCEPTIONAL ABILITY While you're welcome to submit your application if you don't meet these criteria, we will be looking for other evidence of exceptional ability. You are encouraged to briefly describe this evidence in response to the "Anything Else" question at the bottom of the application form. NOTE ON FELLOWSHIP OPPORTUNITIES This portal accepts applications for full-time roles at Perplexity. Internship applications are not accepted via this portal. If you're interested in short-term opportunities with our team, you may instead be interested in the Perplexity Research Fellowship. The Fellowship has a separate application process detailed here https://pplx.ai/fellowship. Note that Fellowship applications are extremely competitive; in particular, we don't expect to admit any undergraduate students to the Fellowship before their final year of study.
Technical Program Manager, Global Programs — Appli...
About the Team OpenAI’s Applied AI Engineering (AIE) team helps customers around the world build and deploy AI solutions that deliver measurable business value. We combine technical expertise and hands-on engineering to identify high-impact use cases, develop and evaluate solutions, and guide customers from experimentation to production—bringing deployment insights back to OpenAI’s product and research teams. About the Role We are seeking a Technical Program Manager to lead the planning, execution, and ongoing operations of programs across OpenAI’s global Applied AI Engineering team. You will turn customer, field, and leadership priorities into actionable programs spanning regions and customer segments, managing milestones, dependencies, risks, and delivery in collaboration with AIE, Sales, Product, and partner teams. Alongside execution, you will own and improve AIE’s internal operating mechanisms and tooling, and work with leadership to resolve adoption and delivery bottlenecks. This role combines hands-on program ownership with the opportunity to inform AIE priorities and industry strategy, improve how the team operates, and scale successful approaches globally. This role is based in San Francisco, California in the United States. In This Role, You Will - Own end-to-end delivery and operations for a prioritized portfolio of global AIE initiatives, including project plans, milestones, dependencies, risks, regional rollout, leadership updates, and performance tracking. - Co-own industry strategy with AIE and GTM leaders across regions: synthesize customer and field feedback, identify recurring workflows and adoption barriers, and prioritize use cases and investments. - Partner with AIEs across regions and customer segments to identify recurring adoption, delivery, and operational bottlenecks and root causes; work with leadership to prioritize actions, align resources, and drive resolution. - Lead the design of reusable technical industry workshops—including agendas, demos, materials, and actionable next steps—that regional teams can adapt, with delivery led by AIE and other technical teams. - Work with hyperscaler and ecosystem partners to jointly develop industry use cases and coordinate technical readiness, launches, and go-to-market execution. - Own the roadmap, quality, and lifecycle of API and industry demos, technical blueprints, and field enablement playbooks, partnering with technical teams to keep assets current, reusable across regions and customer segments, and aligned with customer needs and product capabilities. - Design and run field-wide technical campaigns in collaboration with AIE, Sales, Product, and partner teams, tailoring regional execution to move customers from discovery and evaluation toward adoption. - Own and improve AIE’s internal operating mechanisms and tooling—including intake, prioritization, operating reviews, and reporting. Establish feedback loops, shared success metrics, and dashboards for delivery, field and customer adoption, API usage, and business impact across regions; use automation and insights to improve team effectiveness and inform AIE, industry, and product priorities. You Might Thrive in This Role If You - Bring at least 10+ years of technology-industry experience, with a track record in technical program management, technical strategy, technical GTM, industry programs, or technology consulting. Experience at hyperscalers, independent software vendors (ISVs), or consulting firms is preferred. - Have driven technical sales motions and field-wide campaigns with measurable customer adoption or business results. - Bring strong technical fluency in AI, APIs, cloud platforms, and enterprise deployment tradeoffs, with experience scoping use cases and shaping technical demos, prototypes, workshops, or reference implementations with engineers. - Can turn customer and field signals into a clear industry point of view, distinguish repeatable needs from one-off requests, and prioritize investments. - Have experience partnering with hyperscalers or technology ecosystems on joint solutions, technical enablement, or go-to-market programs. - Have built and managed internal workflows or tooling that teams use day to day. Use automation and AI-powered business intelligence (BI) tools to reduce manual work, build dashboards, define success metrics, and turn adoption and program-performance data into decisions. - Have led large-scale global initiatives from initial design through multi-region rollout and ongoing operations, balancing shared standards with local needs. You navigate ambiguity, influence without formal authority, and communicate clearly with technical, field, partner, and executive audiences across regions and functions. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Treasury, Liquidity & Capital Planning
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking an experienced leader for our Treasury, Liquidity & Capital Planning team. In this foundational role, you will own the forward view of the company's cash and balance sheet as Anthropic manages one of the fastest-growing balance sheets in technology alongside some of the largest infrastructure commitments any company is making. You will report to the Head of Investments & Market Risk and work closely with FP&A, Accounts Payable, Collections, Controllership, Legal and Infrastructure Finance. This is a rare opportunity to build a liquidity and capital planning function from the ground up at a high-growth AI company. You bring a strong background across multiple pillars of Treasury and a track record of driving complex, cross-functional initiatives through to completion with limited direction and full accountability. You are proficient in using AI tools to drive automation and process optimization, and you will use Claude to build much of the tooling that makes Treasury faster and more precise. Key responsibilities - Build, own and continuously improve a direct cash flow model and forecast by legal entity and currency, tied to bank data at the front end and to FP&A's operating plan, so the company sees liquidity needs well before decisions have to be made - Establish a disciplined forecasting cadence across monthly, quarterly and annual cycles, with forecast-to-actual variance analysis built on bank transaction data - Partner with FP&A and Strategic Finance to support capital allocation decisions with scenario and sensitivity analysis and clear liquidity trade-offs - Monitor and manage working capital drivers, including receivables, payables and DSO/DPO, to anticipate cash flow impacts and improve liquidity - Prepare cash flow analyses and executive-level materials for the Treasurer, CFO and senior leadership, highlighting key drivers, risks and opportunities - Partner with FP&A, Accounting, Tax and business teams to understand forecast movements, challenge assumptions and improve accuracy, while strengthening processes, reporting and controls so the framework scales - Serve as back-up for the investments desk (in-house portfolio, money market funds, deposits and separately managed account instructions) and for the FX, commodities, rates and credit desk Minimum qualifications - Have built and owned a direct cash flow model and forecast across multiple legal entities and currencies - Can project a balance sheet, leverage and covenant metrics as comfortably as cash, and explain the trade-offs clearly to a CFO and other non-Treasury stakeholders - Understand how a forecast turns into an investment ladder, a hedge program and a compliance test, not just a report - Have stood up models, reporting and controls where none existed, and are comfortable being the whole team - Work directly with data, including bank feeds, ERP cash flows and portfolio reports - Understand money market funds, deposits, short-duration securities and basic hedging mechanics well enough to cover a trading desk - Exercise strong judgment in ambiguous situations and build effective relationships across Finance, Legal and the business Preferred qualifications - 10+ years of relevant experience in treasury or corporate finance - Have led a cash flow forecasting or liquidity planning function inside a large corporate Treasury - Have supported a revolving credit facility, debt issuance or rating agency process with forecasts and covenant models - Have worked in Treasury through hypergrowth, large financings or an IPO - Have used Claude or similar AI tools to automate Treasury workflows and reporting - Are familiar with a treasury management system, Clearwater, planning tools or a data warehouse such as BigQuery - Have executed trades under a Treasury policy, including direct securities, money market funds, deposits, and FX spot and forwards - Hold a CFA, CTP or CPA - Are excited by Anthropic's mission to build safe, transformative AI systems, and by Treasury work that directly supports it The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 - $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior+ Software Engineer, Legal Tech
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Legal Tech engineers play a specialized and critical role in keeping Claude at the frontier. Partnering closely with counsel, we provide custom infrastructure and guidance for complex, novel technical matters, empowering teams across the company to continue meeting our legal obligations as we innovate. As a Senior+ Software Engineer on our Legal Tech team, you'll build dedicated, highly secure, and reliable cloud environments and data processing and storage capabilities at speed and scale. You will own your scope end to end: from raw requirements all the way through to large-scale production systems that satisfy legal invariants and unlock new possibilities. The systems you build won't just be dependable and scalable; they'll be interpretable and auditable, demonstrating to skeptical audiences exactly how they worked and why results can be trusted. You'll be an essential member of a collaborative team, working together to solve difficult problems against fixed deadlines. You will own internal customer relationships as well: you'll gather, prioritize, and coordinate needs from colleagues on Privacy, Security, Research, and/or Infra as well as Legal, to ship the right capabilities on the right timelines. You'll act as a trusted advisor: clearly explaining technical concepts and constraints to inform legal decisions, and proactively designing new approaches to prevent classes of problems. Your infrastructure expertise will directly empower our business to calibrate and manage risk, innovating faster thanks to systems that build in legal considerations. Key responsibilities - Build and operate dedicated cloud infrastructure, storage, and data pipelines for specialized workloads that can't run on general-purpose systems - Design architectures with excellent security, privacy, reliability, scalability, and auditability baked in - Partner with a wide range of internal customer teams to translate requirements into sound approaches and realistic ETAs - Deliver against fixed deadlines - Support complex and novel legal requests on controlled infrastructure, with verifiable chain of custody - Pair with engineering teams across the company to extend existing infrastructure to support new workflows and/or legal requests - Work with nontechnical stakeholders to clarify their needs through responsive, easy-to-follow dialogue Minimum qualifications - Experience designing, building, and operating highly trusted infrastructure and data systems in production, including owning architectural decisions - Experience working across large, complex, multi-team environments, including in stacks and code you don't own - Ability to take ownership of a cloud account and secure it end to end (networking, storage, identity, encryption, least-privilege provisioning, etc.) on AWS and/or GCP - Ability to translate legal and privacy requirements into sound technical designs and implementations that teams are excited to adopt - A habit of verifying rather than assuming: designing checks for invariants and plainly naming what isn't proved - Self-directed in a high-change environment, and comfortable resequencing quickly when new needs emerge - Clear communication with nontechnical stakeholders, and an understanding of their needs Preferred qualifications - Software engineering experience with an infrastructure, data, privacy, and/or security focus - Proficiency with large-scale data tooling, such as distributed processing, lakehouse table formats, and/or query engines - Understanding of data processing pipelines, LLM training, and/or provenance and lineage - Experience with secure enclaves, confidential computing, clean rooms, or other purpose-built environments for sensitive data - Background in eDiscovery, litigation support, or records retention at scale, including chain of custody and verifiable integrity The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Head of Customer Success, APAC
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Head of Customer Success, APAC at Anthropic, you will build and lead our Customer Success function across Asia Pacific. You will scale a team of managers and CSMs who help our most strategic APAC customers realize the full value of Claude. This is a foundational leadership role: you will establish how we run CS in the region, hire and develop a multi-market team of managers, and partner closely with your global counterparts to deliver a globally consistent customer experience while localising where it matters. APAC is not one market. You will lead across India, Japan, Korea, ASEAN, and Australia and New Zealand (ANZ), each with its own buying culture, regulatory context, language needs and pace of AI adoption. You will work hand-in-hand with global GTM, Product and Engineering leaders to shape our APAC CS strategy, take APAC customer priorities back into the business, and drive adoption, retention and growth across some of the most exciting markets in the world. Key responsibilities - Build and lead a multi-layered Customer Success organisation across APAC, managing managers and scaling the team responsibly as our APAC business grows. - Define and execute the APAC CS strategy in close partnership with global CS leadership, aligning with the global agenda while localising approach, motion and programmes for APAC market dynamics. - Own CS business outcomes including customer health, retention, expansion and satisfaction across APAC accounts. - Hire, develop and coach a high-performing team of CS managers and individual contributors, building a culture that reflects Anthropic's values across Asia's diverse geographies, languages and working cultures. - Partner with global CS, Sales, Product and Engineering teams so the voice of APAC customers reaches decision-making forums. - Establish scalable processes, playbooks and operating cadences that work across APAC time zones (India to Japan, Korea and ANZ) and overlap responsibly with global teams. - Represent Anthropic with senior customer stakeholders across APAC, leading executive engagements, QBRs and strategic account conversations with enterprises, digital natives, startups and public sector bodies. - Build strong working relationships with APAC channel and cloud partners, and with systems integrators and consulting firms that shape enterprise AI adoption in the region. - Contribute to global CS strategy as a senior leader, bringing an APAC perspective to team planning, segmentation and prioritisation. - Help shape how we deploy AI responsibly with customers across APAC's varied regulatory environments, including data residency, privacy and sector rules in markets such as India, Japan, Korea, Singapore and Australia. Minimum qualifications - 15+ years of experience in management consulting, technology consulting, professional services or customer-facing advisory roles, with a track record of advising senior client executives on complex transformation programmes. - Experience building and leading multi-market Customer Success or Technical Success organisations, including managing managers - Track record of scaling CS teams across APAC at enterprise software, SaaS or AI/ML companies - Demonstrated ability to balance global alignment with regional localisation across multiple APAC markets and cultures. - Strong people leadership: a clear philosophy on hiring, coaching and developing managers and senior ICs. - Experience owning enterprise customer relationships and driving measurable business outcomes (retention, expansion, adoption) in APAC markets. - Strong executive presence and the ability to represent a company credibly with C-suite stakeholders across APAC. - Excellent cross-functional partnership skills, particularly working across time zones with global leadership teams. Preferred qualifications - Experience leading Customer Success across APAC - Working fluency in an APAC language (for example Japanese, Korean or an ASEAN language) or a strong record of leading teams that operate in those languages - Experience standing up a CS function in a new APAC market from the ground up - Background in API products, developer platforms or consumption-based business models - Familiarity with AI/ML technologies and the ability to explain complex technical concepts to business audiences - Experience working with APAC hyperscaler, channel and SI partners on joint customer delivery - Track record of influencing global product roadmaps through structured customer feedback from APAC markets - Passion for responsible AI development and deployment Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Enterprise Account Executive, Industries - BFSI
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking an Enterprise Account Executive, Industries - BFSI to pioneer Anthropic's enterprise AI adoption across India's banking, financial services, and insurance sector. You will build our presence from the ground up, securing transformative deals with leading banks, NBFCs, insurers, and fintechs, and establishing Anthropic as their trusted AI partner for digital transformation. You will navigate the complex, regulated environment of Indian financial institutions and position Claude as the AI solution that drives both efficiency and innovation while maintaining the highest standards of safety and reliability. As one of our first industry specialists in India, you will shape our BFSI go-to-market strategy and build the playbook for how Anthropic serves financial institutions, working closely with global teams while adapting our approach to local market dynamics. This position is based in Bangalore, Mumbai, or NCR, with travel across India. Key responsibilities - Establish Anthropic's enterprise presence across India's BFSI sector, including public and private sector banks, NBFCs, insurers, asset managers, and fintechs - Develop BFSI-specific strategies that account for RBI, IRDAI, and SEBI requirements, data localization needs, and sector compliance standards - Build relationships with key stakeholders, including CXOs, Chief Risk and Compliance Officers, digital transformation leaders, and innovation heads at India's top financial institutions - Create the India BFSI playbook for enterprise AI adoption, documenting successful approaches that can scale across the region - Own end-to-end sales cycles for complex, multi-stakeholder enterprise deals, often involving board-level decisions - Drive strategic expansion within lighthouse accounts that can serve as references for the entire BFSI industry - Navigate procurement processes unique to Indian financial institutions, including vendor risk assessments, rate contracts, empanelment procedures, and multi-year agreements - Collaborate with system integrators and consulting partners who often influence technology decisions at banks and insurers - Co-innovate with customers to develop BFSI use cases, from vernacular customer service and fraud detection to credit underwriting and automated compliance reporting - Understand sector-specific challenges such as financial inclusion, legacy core banking modernization, and data security in regulated environments - Position AI strategically within the context of Digital India initiatives and financial sector modernization programs - Ensure successful deployments that can scale from proof-of-concept to enterprise-wide implementation - Partner with global product teams to prioritize features critical for Indian financial institutions, such as multi-language support, data residency, auditability, and integration with local systems - Collaborate with legal and compliance teams to navigate India's evolving AI and data protection regulations - Provide market intelligence on competitive dynamics, pricing expectations, and emerging BFSI use cases unique to India - Build internal alignment between Anthropic's global strategy and India's market requirements Minimum qualifications - 15+ years of enterprise sales experience in the Indian market, with a proven track record of closing large, complex deals, ideally across BFSI sector - Deep understanding of how Indian financial institutions operate, including decision-making processes, budget cycles, and stakeholder dynamics - Experience selling transformational technology (Cloud, AI/ML, Digital Transformation platforms) to Indian enterprises - Established relationships with senior executives across banks, NBFCs, insurers, or fintechs - Understanding of the Indian regulatory landscape, including RBI, NSE, IRDAI, and SEBI requirements, data protection laws, and sector-specific compliance - Consultative selling expertise, with the ability to position AI as a strategic business driver rather than just a technology solution - Complex deal structuring experience, including multi-year contracts, phased deployments, and outcome-based pricing - Technical acumen to engage credibly with CTOs, architects, and data science teams - Cross-cultural communication skills to work effectively with both Indian stakeholders and global teams - Entrepreneurial mindset and the ability to build a market from scratch with limited local resources initially - Patient yet persistent approach to long enterprise sales cycles, while maintaining momentum Preferred qualifications - Experience selling directly into large Indian banks, insurers, or financial conglomerates - Relationships with Indian system integrators such as TCS, Infosys, Wipro, and HCL, particularly their BFSI practices - Familiarity with Indian business groups and conglomerates, and how decisions flow within these complex organizations - Track record of first-in-market roles or launching new products in India - Domain expertise in areas critical to Indian financial services, such as UPI payments, core banking systems, KYC/AML compliance, Aadhaar integration, or insurance underwriting - Knowledge of government initiatives such as Digital India and their impact on financial sector technology adoption - Experience navigating public sector bank and PSU sales processes is a plus Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
RE/RS, Data Understanding - Foundations
About The Team The Data Understanding team is responsible for creating the high quality datasets and their quantized representation for OpenAI. This includes synthesizing data, building VQ representations, and processing, filtering, deduplication, quality control, and tokenization so it can be used effectively in big model training runs. About The Role We're looking to advance how OpenAI builds and understands pretraining data at scale. You'll treat data quality and curation as core research problems: developing new methods to select, combine, and transform data; creating datasets that improve model capabilities; and designing rigorous experiments to understand how data choices and interventions affect model learning and downstream behavior. You'll work closely with frontier models and web-scale data to build evidence for which approaches work and why, then translate successful research into scalable data processing pipelines We Expect You To - Have a strong track record of new or improved ML ideas, through publications, projects, or applied research. - Own and drive a research agenda, from choosing the right problems to carrying long-running work through to impact. - Be excited by OpenAI’s empirical, collaborative approach to research. Nice To Have - Thoughtfulness about AI’s impact, including privacy, provenance, and data quality. - Experience building high-performance deep learning or large-scale data processing systems. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Product Finance & Strategy, Monetization
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are hiring a Finance & Strategy team member to work across two areas: Model Monetization and Enterprise & Verticals. In Model Monetization, you will own the economics behind how we price and package our models, including list pricing, tiering, and consumption mechanics across model families. In Enterprise & Verticals, you will be the Finance & Strategy partner to the product teams, working on the business cases, product economics, and investment decisions behind what we build for enterprises and priority industries. Every model launch and most major enterprise product decisions run through this work. The role carries a high degree of ownership and autonomy. It suits someone who likes building models and working through ambiguous questions. You will connect token economics, inference and compute costs, and margin to pricing and packaging decisions, and apply the same approach to enterprise and vertical product investments. You will be expected to form a view, defend it with analysis, and drive it to a decision. You should follow AI closely and have a perspective on where the field is heading. If you want to work on the economics of frontier AI, join us in making AI safe and beneficial. Key responsibilities - Own model monetization end to end: build and maintain the financial models that connect token economics, inference and compute costs, and margin to pricing and packaging decisions across our model family and API - Serve as the Finance & Strategy partner to our Enterprise and Verticals product teams, owning the financial lens on what we build for enterprises and priority industries - Build the business cases behind enterprise and vertical product investments: size opportunities, model product economics and pricing, and evaluate the return on competing roadmap bets - Partner cross-functionally with product, go-to-market, and compute stakeholders to evaluate pricing and packaging changes, new model launches, and consumption-based offerings, translating analysis into clear, opinionated recommendations - Analyze the drivers of unit economics and gross margin, surfacing the trends, risks, and opportunities that should inform monetization and product strategy - Track the competitive and market landscape for AI monetization and enterprise adoption, bringing an outside-in view that sharpens our own strategy - Form and defend a point of view on monetization and product investment decisions, delivering clear, concise analyses that drive to resolution with executives and cross-functional partners - Collaborate with finance, FP&A, and accounting counterparts to ensure decisions are consistent with broader financial strategy and reporting - Establish and maintain reporting dashboards that track key pricing, margin, consumption, and product performance metrics Minimum qualifications - Advanced modeling: you can build and maintain a complex operating model from scratch, and you enjoy doing it - A record of owning a workstream and driving it independently from question to decision - The judgment to form an opinion and defend it, and the openness to update it as the analysis changes - You follow AI closely and have a view on where it is going - Ability to explain complex financial information clearly to non-finance audiences - Commitment to Anthropic's mission to build safe, transformative AI systems Preferred qualifications - 7+ years in strategic finance, product finance, pricing, investment banking, private equity, growth equity, or management consulting - Operating experience inside a company, not solely in an advisory or investing seat - Direct experience owning pricing, packaging, or monetization strategy, for example setting or revising list prices, designing tiering and packaging, running pricing research, or measuring the impact of pricing changes - Experience partnering with a product organization on business cases, investment decisions, or roadmap prioritization - Experience with usage-based, API, or developer platform pricing, or other consumption-based business models - Knowledge of and interest in cloud computing infrastructure and compute economics - Proficiency in SQL The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $190,000 - $240,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Product Designer, Claude Developer Platform
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Design at Anthropic sits at the intersection of craft, research, and product intuition. We're a small team working on products that millions of people use daily—and on interactions that don't have established conventions yet. Our work shapes how people experience AI: whether Claude feels like a tool or a collaborator, whether it earns trust or erodes it. We partner closely with engineers and researchers, often designing around capabilities that are emerging in real-time. That means staying close to the models, prototyping rapidly, and being comfortable with ambiguity. We care deeply about craft—the details that make something feel polished and trustworthy—but we ship fast and learn in the open. We'd rather get something in front of users and iterate than wait for perfection. We're looking for designers who ship fast and stay in motion—people who would rather get something in front of users this week than perfect it for a month. You're excited to question fundamental UI assumptions and invent patterns that feel native to AI, and you're already using tools like Claude Code to extend what you can build. You pay attention to where model capabilities are heading, not just what Claude can do today, and you find ways to keep caring about the pixels, the copy, and the edge cases while shipping quickly. Read more here for the type of features we build. Key responsibilities - Collaborate with product managers, engineers, AI researchers and other stakeholders to define product vision, strategy and roadmaps, and play an active role in shipping. - Understand the technical architecture of our products and define primitives for new capabilities. - Define feature areas with exceptional attention to detail and polish, identifying opportunities to improve quality and consistency of broader flows - Craft beautiful, polished, and delightful user interfaces that build trust and showcase the power of our AI technology - Comfortable in code, design, prototypes, and learning new ways to communicate ideas and concepts - Find creative ways to ship high-quality work in a fast-paced, often ambiguous, resource-constrained startup environment Minimum qualifications - Experience designing and shipping complex workflows, enterprise/B2B SaaS, developer tools, or API products end-to-end - Proven track record of executing end-to-end on large and complex products, or a series of products, in ambiguous environments - A portfolio demonstrating user-centered design thinking and polished UI craftsmanship - Proficiency with modern design and prototyping tools, such as Figma - Experience using AI tools such as Claude Code as a creative partner in your own design practice - Excellent collaboration and communication skills to work effectively with cross-functional teams and influence without authority Preferred qualifications - Experience prototyping with front-end code (e.g., HTML/CSS/JS) - Passion for crafting scaled, highly impactful, safe and beneficial artificial intelligence technologies to enable new possibilities The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Staff + Sr. Software Engineer, Scaling
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our Inference team is responsible for building and scaling the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities - Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide - Develop resilient, flexible systems that adapt in real time to real world events - Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators and multiple cloud providers - Maximize compute efficiency and optimize cost across the fleet by autoscaling and orchestrating production, research, and experimental workloads across multiple cloud providers - Build and operate production-grade deployment pipelines for releasing new models to users - Provide high-performance inference infrastructure that enables researchers to develop next-generation models - Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications - Significant software engineering experience, particularly with distributed systems - Results-oriented, with a bias towards flexibility and impact - Willingness to pick up slack, even if it goes outside your job description - Desire to learn more about machine learning systems and infrastructure - Thrive in environments where technical excellence directly drives both business results and research breakthroughs - Care about the societal impacts of your work Preferred qualifications - Experience with high-performance, large-scale distributed systems - Experience implementing and deploying machine learning systems at scale - Experience with load balancing, request routing, or traffic management systems - Familiarity with LLM inference optimization, batching, and caching strategies - Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure) - Proficiency in Python or Rust Representative projects - Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments - Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads - Building production-grade deployment pipelines for releasing new models to millions of users reliably - Contributing to new inference features - Supporting inference for new model architectures - Analyzing observability data to tune performance based on real-world production workloads - Managing multi-region deployments and geographic routing for global customers The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Applied AI Engineer, Enterprise
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Engineer on our Enterprise team, your role is to guide some of the UK's largest businesses to the frontier of AI and help them deploy Claude into their operations, their products, and their ways of working. You will become the go-to Claude Platform specialist and trusted technical advisor for your customers, advising their engineering teams on architecture, agent design, and evaluation, and working with the C-level and senior executives who sponsor these programmes to show the business value Claude can create and help them reach a confident decision to build on Claude. Enterprise deals are different. Procurement cycles are longer, more stakeholders are involved, and success depends on being able to connect the technical work to the outcomes the boardroom cares about. You will be as comfortable advising an engineering team on evaluation and architecture as you are presenting a value case to a CIO or CTO, and you will carry the technical thread across every stage of a multi-quarter engagement. You will partner closely with Enterprise Account Executives and Applied AI Architects to take each customer from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude. Once they have decided, you set their systems integration partner up to deliver, agreeing the target architecture and what good looks like, and you stay close as the customer's technical advisor on Claude throughout deployment, while the partner does the build. Working alongside Anthropic's Product and Engineering teams, you will use your knowledge of the Claude Platform to advise on evaluation, recommend architectures that meet enterprise security and scale requirements, and create the technical and business resources that help large organisations succeed with Claude. Responsibilities - Partner with Enterprise Account Executives and Applied AI Architects to take UK enterprise customers from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude - Lead the technical side of each opportunity, then remain the customer's technical advisor on Claude as they deploy - Set customers and their systems integration partners up to deliver: agree the target architecture, define what good looks like, and advise the delivery team as the build progresses - Help customer engineering teams see how they would build on Claude, covering architecture, agent design and evaluation - Build and present the business value case for Claude to C-level and senior executives, linking technical capabilities to measurable outcomes such as cost, revenue, risk, and time to market - Guide customers through long, multi-stakeholder procurement, including security and architecture reviews and a clear path to production, navigating security, compliance, data residency and governance requirements (including UK GDPR) - Feed patterns from enterprise engagements back to Product, Engineering, and the wider Applied AI team, and travel to customer sites across the UK You may be a good fit if you have - 6+ years of experience as a Software Engineer, Solutions Architect, Forward Deployed Engineer, or technical founder - Pre-sales or technical advisory experience selling into large enterprises, ideally in the UK, including owning the technical win (evaluations, proofs of concept, due diligence with security, legal and procurement) - Experience with value-based selling and presenting a business case to C-level and VP-level stakeholders - Production experience with LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale - Familiarity with enterprise security, compliance, and architecture requirements, ideally in regulated sectors - The ability to explain complex AI concepts clearly to both technical and executive audiences, and a passion for making powerful technology safe and beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £225,000 - £255,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Applied AI Engineer, DNB
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI Engineer on our Digital Native Business team, you'll help fast-growing, tech-forward companies build their products on Claude. You'll be the technical advisor their engineering teams turn to for architecture, agent design and evaluation, and you'll work alongside them, pair programming and reviewing architectures, to get from first prototype to production at scale. You'll partner with Account Executives and Applied AI Architects to take each customer from first conversation through technical evaluation and proof of value to a confident decision to build on Claude, then stay close as they ship and scale. These customers move quickly and expect you to have built things yourself, so you'll be at your best in the code and the architecture review, not just the meeting. Alongside Anthropic's Product and Engineering teams, you'll develop custom evaluation frameworks, prototypes and reference architectures, and turn what you learn across engagements into technical content and product feedback that helps other builders succeed with Claude. Responsibilities - Serve as a deep technical advisor to high-growth, tech-forward companies, working alongside them to build innovative use cases that push the boundaries of AI - Work hands-on with customer engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development - Develop prototypes and technical documentation—including evaluation suites, AI engineering techniques, and architecture diagrams—that enable customers to build and scale with Claude - Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements - Identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team - Create technical content for developer audiences including documentation, tutorials, and sample code - Foster community engagement through hackathons, webinars, technical office hours, and developer-focused events - Travel to customer sites for workshops, implementation support, and relationship building You may be a good fit if you have - 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder - Experience in a customer-facing or pre-sales technical role - partnering with customers to scope, design, and deliver solutions - Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale - Strong programming skills with proficiency in Python and experience building production applications - Experience working with high-growth, tech-forward companies - Ability to context-switch across industries (healthcare, fintech, etc.) and use cases - Builder credibility that earns trust with technical founders and engineering leaders - you've shipped products and can speak from experience - Strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans - Experience facilitating technical workshops, hackathons, or developer-focused events - Passion for making powerful technology safe and beneficial The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £225,000 - £255,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Staff + Sr. Software Engineer, Cloud Inference Lau...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact. This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource. Key responsibilities - Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform - Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production - Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds - Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production - Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability - Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications - Have a strong interest in LLM serving; prior inference or ML experience is not required - Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users - Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability - Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration - Thrive in cross-functional collaboration with both internal teams and external partners - Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems - Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications - LLM inference optimization, batching, and caching strategies - Capacity-constrained scheduling or shared-resource test infrastructure - Solid understanding of multi-region deployments, request routing, load balancing, global traffic management - Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service - Proficiency in Python or Rust The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Staff + Sr. Software Engineer, Cloud Inference
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale. Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards. Key responsibilities - Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models - Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps - Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions - Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity - Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region - Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications - Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users - Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration - Are curious about LLM serving; prior inference or ML experience is not required - Thrive in cross-functional collaboration with both internal teams and external partners - Have experience working with external partners to align goals and deliver impact - Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems - Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications - Direct experience working with CSPs to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings - Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments - Solid understanding of multi-region deployments, geographic routing, and global traffic management - Proficiency in Python or Rust The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
[London] Manager, Technical Deployment
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is building the Forward Deployed Engineering team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Technical Deployment Leads (TDLs) and Forward Deployed Engineers (FDEs) embed with strategic customers to ship production AI applications that solve real business problems. Our delivery model pairs two roles: FDEs own the technical artifact, and TDLs own the engagement end-to-end — from statement of work (SOW) through production deployment. As a Manager of Technical Deployment for Financial Services, you own engagement portfolio health across your vertical. You set the bar for delivery quality and build the playbooks and evaluation frameworks that let the practice scale. Your work will directly influence Anthropic's product direction and establish Anthropic as the trusted partner for AI transformation across the Fortune 100. This is a player-coach role. You need to be credible in architecture conversations with a customer's engineering leads and equally comfortable in sales conversations in front of executive sponsors, and you will lead the most complex engagements yourself when the stakes call for it. Most of your impact will come through the people you hire and the standard you hold them to. You won't write production code, but you will pressure-test the technical decisions your TDL team makes with FDEs. Responsibilities - Hire, develop, and retain a team of TDLs embedded in Financial Services engagements. Set a high bar for delivery judgment, technical fluency, and customer presence, and run the interviews that hold it. - Manage each TDL directly: regular 1:1s, clear expectations, direct feedback, and a growth plan. Build a bench that runs engagements well without you in the room. - Own portfolio health across the vertical. Track which engagements are on track, at risk, or closing out, and intervene early when delivery drifts. Run engagement quality reviews with your team. - Own customer outcomes across the portfolio. Hold the executive relationship with customer sponsors, run steering committees, and represent Anthropic's credibility with senior business, risk, and engineering leaders. - Make the staffing call for each engagement. Work with FDE managers to match TDLs and engineers to each customer, and adjust as scope changes. - Lead the most complex engagements yourself. Take the TDL seat when engagement size, regulatory exposure, or organizational complexity calls for it, from delivery plan through production. - Set the bar for delivery excellence — SOW quality, MVP scoping, and value measurement. Ensure every engagement has a defensible impact story. - Codify reusable solution patterns, evaluation frameworks, and technical playbooks across the team. Turn what works in the field into delivery infrastructure that lets the practice scale. - Partner with Sales to qualify engagements, shape scope, and inform SOWs. Partner with Marketing and Sales on Financial Services–specific go-to-market materials, reference cases, and positioning. - Run the team's operating rhythm: engagement reviews, knowledge-sharing, and escalation support, and report into the wider post-sales cadence and dashboards. Set team goals tied to customer outcomes. - Bring the field back to Anthropic. Surface delivery lessons and emerging Financial Services use cases to Product and Research, and represent the vertical in leadership discussions. - Consistently uphold Anthropic's values as you lead your team. TDLs should be strong representatives of Anthropic's culture as they work within customer environments. - Travel to customer sites (25–50% expected). You May Be a Good Fit If You - Have 8+ years leading enterprise AI/ML delivery, whether you came up as a founder, engineer, data scientist, or researcher who has moved into deployments, with at least 3 years directly managing people who owned delivery outcomes. - Have a track record of building and leading technical delivery teams in enterprise environments, ideally including embedded or forward-deployed teams working at client sites. - Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. - Bring depth in Financial Services. You have delivered technology programs inside banks, insurers, or asset managers, you understand how model risk, security, and compliance review shape what ships, and you can speak credibly with a CIO, a chief risk officer, and a head of engineering. - Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and judge whether a proposed agent design is realistic. You are accountable for the technical direction your team sets alongside FDEs. - Have experience with value-based scoping, including TCO/ROI quantification and post-deployment impact measurement. - Thrive in ambiguity and bring structure where none exists. You have built a team, practice, or function from an early stage. - Have executive presence: polished, credible, and concise with senior leaders in high-stakes settings, and just as effective in a hands-on engagement review with your team. - Have strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £255,000 - £325,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Staff+ Software Engineer, Account Abuse (Machine L...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Account Abuse team is tasked with ensuring Anthropic's computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build the machine learning systems that help us detect and stop abuse at scale. The ideal candidate can see things from opponents' perspectives, understand their means and motives, and anticipate their responses to countermeasures. We're looking for full stack machine learning engineers with experience across model training, productionization, and evaluation. You'll also look for ways to use Claude to speed up how these models get built and maintained. This is classical ML on structured and behavioral data. You do not need a deep learning background or knowledge of LLM internals. What matters is that you have trained and shipped models where the stakes are real, and that you care about building robust production systems as much as the model itself. A false positive here is a legitimate customer locked out, so measurement, precision, and safe rollout are part of the job. Key responsibilities - Build and operate a feature computation platform that serves both model training and real-time scoring, with point-in-time correct training data and low-latency online retrieval - Train, evaluate, and deploy models that detect account-level abuse and fraud, running them both offline and online - Build tooling that automates more of the model development lifecycle, including using Claude to speed up feature development, training, and evaluation - Make backtesting, shadow deployment, and staged rollout the default path to production, with monitoring for training / serving skew, drift, and adversarial adaptation - Work with our data scientists and our Policy & Enforcement team to improve label coverage and quality - Partner with product and platform teams to gather signals and integrate model decisions with minimal impact on their systems' latency, stability, or overall architecture Minimum qualifications - Proficiency in Python and SQL - Experience training machine learning models and deploying them to production - Experience building data pipelines with a batch processing engine (e.g., Spark, Beam) and a workflow scheduler (e.g., Airflow) - Working understanding of point-in-time correctness and training / serving skew, and how to prevent both - Strong communication skills and ability to explain technical tradeoffs to non-technical stakeholders Preferred qualifications - Experience building or operating a feature platform such as Chronon, Feast, or Tecton - Experience with stream processing engines such as Flink, Beam / Dataflow, or Kafka Streams - Experience training ML models in a production setting with demanding serving requirements, such as fraud, risk, or ranking - Experience with tree-based models on tabular data - Experience building unsupervised, clustering-based or graph-based detection systems to surface coordinated account abuse - Experience in integrity, spam, fraud, or abuse detection - Experience working with scarce, delayed, or noisy labels - Experience with AutoML or other approaches to automating the ML workflow - Care about the societal impacts of AI and want your work to make powerful systems safer The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Engineering Manager, (Multimodal)
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. The Multimodal team builds the experiences and infrastructure that move AI interaction beyond touch and text: realtime voice, vision, and the platform systems behind them. We own the full path from a user speaking into a device to an answer coming back: the realtime session infrastructure that connects clients to frontier audio models, the backend orchestration that routes, records, and supervises live sessions, and the SDK that powers voice and multimodal experiences across Perplexity's apps. As Engineering Manager for Multimodal, you will lead the team building realtime voice and multimodal experiences across Perplexity. You'll hire and develop engineers, set technical direction, and drive new products at the intersection of voice, vision, and agents. KEY RESPONSIBILITIES - Lead the team building realtime voice and multimodal experiences across Perplexity, taking new products from first prototype to production launch. - Own the team's roadmap, deciding which voice and vision experiences to build next and what infrastructure they need to succeed. - Hire and develop engineers, giving them ownership of meaningful technical problems and the feedback to grow. - Shape the architecture behind the full voice experience, from a user speaking into a device to models, tools, and agents responding. - Lead the systems that turn live conversations into action, connecting voice models to tools, agents, and long-running tasks. - Guide the team through the latency, reliability, and scaling challenges of live voice, including session recovery and performance under load. - Partner with SDK, client, infrastructure, and model teams to turn new audio and vision capabilities into experiences people can use across our apps. - Use user feedback and production performance to improve the experience after launch and decide where the team should invest next. QUALIFICATIONS - Experience managing engineering teams, including hiring, coaching, and performance management. - A strong software engineering background in backend or distributed systems. - Experience designing and operating production services in rapidly scaling environments on AWS or similar cloud infrastructure. - A track record of leading teams to ship complex projects in a fast-moving environment. - Strong product judgment and the ability to translate user problems into clear technical priorities. - Clear communication and the ability to work effectively across teams. - Experience with Rust, Python, Go, or similar languages. We work primarily in Rust and Python. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - Experience with realtime media systems: voice, audio streaming, WebRTC, or low-latency transport. - Experience integrating LLMs, speech models, or computer vision into production systems. - Experience with agent frameworks, tool-calling architectures, or sandboxed execution environments. - Experience leading projects across backend services, client SDKs, and user-facing applications. - Time spent leading a team at a fast-growing startup or in a high-ownership environment.
Forward Deployed Engineer - India
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. ABOUT THE ROLE Forward Deployed Engineers embed directly with customer engineering teams to ship production-grade Cursor workflows that measurably improve how they build software. You’ll figure out what’s actually slowing a team down, design a practical solution, and own it end-to-end, from first discovery call through launch, iteration, and post-production support. This is not a demo role. You are responsible for systems that work in the real world. This role will be based in all 3 cities: Bengaluru, New Delhi and Mumbai. WHAT YOU’LL DO - Lead discovery with customer engineers to identify the real bottleneck and define clear success metrics - Design and build Cursor-powered workflows (e.g., large-scale refactors, migrations, PR review loops, incident → fix pipelines, spec → implementation systems) - Ship a fast first version in days, then harden it into something reliable over weeks with proper rollout plans, monitoring, and iteration based on real usage - Own production quality: tracing, evals, metrics, debugging model behavior, latency/cost tradeoffs, and failure modes - Work directly with Staff+/Platform/Eng leaders — going deep in code while also communicating clearly about tradeoffs and results - Turn what you build into reusable patterns and push improvements back into the core Cursor product YOU MAY BE A FIT IF - You thrive in ambiguity and can turn fuzzy problems into clear scopes and shipped systems - You’ve built and owned AI-native workflows in production, not just prototypes, and have debugged real-world model failures - You’re comfortable leading discovery conversations and being accountable for customer outcomes - You build end-to-end - if it needs frontend, backend, infra, or prompt iteration, you’ll own it - You’ve handled production reliability before (metrics, alerts, safe rollouts, incident response) - You’re strong in Python and TypeScript/JavaScript and can ramp quickly on new stacks
Regional Director, Forward Deployed Engineering -...
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. ABOUT THE ROLE We're building a Forward Deployed Engineering team to close the gap between the value our enterprise customers expect from Cursor and the value they're actually getting. FDEs don't advise, they embed directly with customer engineering teams, build production-grade Cursor workflows, and transfer the habits and culture that compound long after the engagement ends. The measure of success is what's different at day 30, not what got shipped. We're looking for a Regional Director, Forward Deployed Engineering to lead and help scale this team. You'll manage a growing team of FDEs working across our most strategic enterprise accounts, own what makes a world-class FDE engagement, and stay close enough to the work to escalate, coach, and course-correct in real time. You will serve as the primary point of contact for customers, owning both project delivery and the day-to-day relationship, while also identifying and scoping new opportunities. You'll also build our partner FDE track — training and enabling GSI and consulting partners who extend this motion at scale. This is a hands-on leadership role for someone who combines deep technical credibility, strong people management, and the judgment to keep engagements scoped tight, delivered fast, and worth repeating. This role will be based in all 3 cities: Bengaluru, Mumbai and New Delhi. WHAT YOU’LL DO - Sell - Own the full arc from technical discovery to executive close — partnering with Sales and Account teams to qualify opportunities, leading architecture reviews, surfacing integration complexity and infrastructure constraints, and scoping engagements with enough precision to de-risk delivery before a line of code is written - Build and present proposals that translate ambiguous customer problems into concrete, time-boxed deliverables with clear ROI - Sell the vision and the plan to C-suite stakeholders who need to believe in both the outcome and the team delivering it - Drive deal strategy on strategic accounts; your technical credibility is a direct lever on close rates for six- and seven-figure engagements Deliver - Serve as executive technical sponsor on your region's highest-priority engagements and manage stakeholder relationships from IC engineers to C-suite - Ensure delivery quality across your team's projects: appropriate scoping, milestone tracking, technical standards, and clean handoffs to customer engineering teamsTranslate between business outcomes and technical implementation in both directions - Identify and escalate product gaps, integration friction, and recurring customer pain back to Product and Engineering with enough specificity to drive roadmap decisions - Manage active engagements: escalate on complex builds, coach FDEs on scoping and delivery decisions, and step in directly on accounts where the stakes are highest - Build reusable playbooks that make the broader FDE org more capable over time Manage People - Lead, develop, and scale a team of 6–8 Forward Deployed Engineers working strategic FDE projects - Hire top-tier FDE talent; set clear expectations, technical performance standards, and career growth paths for a team where "excellent" means actually shipping in production - Coach FDEs through the hardest problems in the field — scoping under deal pressure, building alongside senior technical stakeholders, and knowing when to protect scope vs. when to flex - Build and scale the partner FDE track — train, enable, and hold the quality bar for GSI and consulting partners who carry the FDE motion forward at volume YOU MAY BE A FIT IF - You have 8+ years of experience leading technical teams that build and ship in production — Forward Deployed Engineering, Solutions Engineering, or a similar function where writing and reviewing code is part of the job - You have experience with software development and coding in Python, Javascript/Typescript - You’ve built and owned AI-native workflows in production, not just prototypes, and have debugged real-world model failures - You can diagnose a complex enterprise engineering environment quickly, identify the highest-leverage intervention, and scope a meaningful engagement - You've built and scaled IC-level technical teams and know what excellence looks like in the field: sharp scoping, clean delivery, and knowledge that stays at the customer long after the engagement closes
[London] Applied AI Architect, Partnerships
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partners Solutions Architect on Anthropic's Applied AI team, you'll be a pre-sales architect focused on building technical relationships with our Global and Regional System Integrators (GSIs/RSIs) and cloud partners (AWS and GCP). You'll strengthen these relationships to accelerate indirect revenue, enable partners' AI practices, and execute our long-term go-to-market strategy. Responsibilities - Strategic technical partnership: Act as a technical thought partner to the Anthropic GTM partnerships team. Bring technical expertise to help us understand the partner landscape, drive key strategic programs, and find ways to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, and evangelize Anthropic in their developer communities. You'll also serve as an escalation point for complex technical issues. - Joint solution development: Work with partners to identify high-value, industry-specific GenAI applications, develop joint solutions, and codify reference architectures and best practices that speed time to deployment. - Customer deal support: Step in to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. - Partner ecosystem and events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. - Product feedback: Gather and validate feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns. Deliver it to the relevant Anthropic teams to inform the product roadmap and partner strategy. You may be a good fit if you have - 5+ years in technical customer-facing or partner-facing roles, such as Solutions Architect, Sales Engineer, Partner Sales Engineer, or Technical Account Manager - A track record of partnering successfully with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery - Exceptional ability to build relationships and communicate technical concepts to diverse stakeholders, including C-suite executives and engineering and IT teams - Strong presentation and technical communication skills, with the ability to translate requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Familiarity with common LLM frameworks and tools, or a background in machine learning or data science - Enthusiasm for cross-organizational collaboration, working through trade-offs, and balancing competing priorities - A love of teaching, mentoring, and helping others succeed - A passion for using technology in ways that are safe and beneficial, and that advance the goal of safe AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £150,000 - £190,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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