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About the Team The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings—such as ChatGPT, our API platform, and new enterprise capabilities—to a global and diverse customer base. These systems must perform at scale and deliver exceptional experiences to developers, consumers, and businesses alike. The ChatGPT infrastructure team is responsible for ensuring that our products can serve rapidly growing demand with the performance, reliability, and quality our users expect. This work sits at the intersection of product demand, model deployment, inference, research, fleet, and capacity. The team translates changing product and model needs into clear capacity decisions and safe, scalable launches. About the Role We are seeking a Technical Program Manager to lead the operating system for Chat capacity and model deployment. You will connect demand forecasting and capacity allocation with model readiness, rollout planning, launch coordination, and post-deployment learning. You will also own mode deployment beyond capacity by working with cross functional teams across research, post-training, inference and product to own mainline model deployment. You will bring structure to constrained-capacity decisions, improve the tooling and mechanisms teams use to prioritize demand, and help new models reach users safely and efficiently. Success requires technical depth, sound judgment under ambiguity, and crisp execution across product, research, infrastructure, and operations teams. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Own cross-functional programs for Chat capacity forecasting, allocation, headroom planning, and constrained-capacity operations. Build durable intake, prioritization, and decision mechanisms that connect product demand and model requirements to available serving capacity. Partner with product, research, inference, fleet, and capacity teams to develop scenarios, surface tradeoffs, and drive timely allocation decisions. Lead model deployment readiness and rollout planning, including serving-capacity allocation, launch sequencing, validation, and operational handoffs. Establish clear readiness gates, risk reviews, rollback criteria, and escalation paths for model deployments. Drive launch coordination through deployment and post-launch learning, turning recurring gaps and manual work into scalable tooling and operating practices. Define and operationalize metrics for forecast accuracy, capacity utilization and headroom, deployment velocity, reliability, latency, quality, and user impact. Create concise, decision-ready communications that make dependencies, risks, capacity constraints, and launch choices clear to technical and product leaders. You might thrive in this role if you: Have led complex technical programs in infrastructure, distributed systems, capacity planning, model serving, or large-scale deployment environments. Can reason credibly about demand, supply, headroom, reliability, latency, and quality tradeoffs, and translate them into executable plans. Have built operating mechanisms or tooling that replaced fragmented, manual workflows with scalable systems and clear ownership. Are effective in high-ambiguity, constrained environments where priorities change and decisions require explicit tradeoffs. Build alignment across research, engineering, product, finance or capacity planning, and operations without relying on direct authority. Use metrics to guide decisions, identify bottlenecks, and demonstrate measurable improvements in throughput, predictability, or reliability. Communicate with precision and can move comfortably between technical detail, operational execution, and executive-level decisions. Thrive in ambiguous, scaling environments and can bring order to complex cross-functional work without losing pace. Care about OpenAI's mission and about expanding responsible access to advanced AI 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.
About the Team We are building the Defense Factory to help enterprises find and fix security vulnerabilities with AI. We build infrastructure that enables AI agents to work in secure, customer-controlled cloud environments, with the context, tools, and controls they need to investigate security findings, carry out approved actions, and verify results. Our focus is turning AI capabilities into reliable security outcomes, starting with finding and fixing vulnerabilities and expanding into investigation, detection, and response. That means solving challenging problems in cloud environments, orchestration, security, and collaboration, while making the experience straightforward for the people directing and reviewing the work. We’re a team that values initiative, close relationships with customers, and exceptional engineering craft. We take ownership, learn quickly, and communicate directly and kindly. About the Role We’re hiring backend-focused Product Engineers across our platform and security product teams. You’ll build infrastructure and customer-facing workflows that let developers and AI agents work reliably in parallel. You’ll work primarily in Go on APIs, complex networking, development environments, and orchestration for long-running tasks. You’ll own outcomes from understanding a user’s problem and choosing an approach through shipping, operating, and improving the solution, working closely with frontend, infrastructure, and security engineers. In this role, you will: Work directly with customers to build developer and security workflows, from getting a project running to investigating findings, reviewing agent-generated changes, and verifying fixes. Build Go services and APIs for provisioning cloud environments, running agents in customer infrastructure, and integrating with source control, CI, and other developer tools. Design reliable orchestration for long-running, parallel work, including durable state, retries, cancellation, and recovery. Build security into execution workflows through clear permissions, credential handling, isolation, and auditability. Own production quality: testing, safe rollouts, observability, performance, and operational reliability. Partner with frontend and design colleagues to make complex backend capabilities straightforward to use. You might thrive in this role if you: Have strong Go skills and experience building and operating production backend systems. Understand distributed systems, concurrency, and state, and can reason about failures and recovery. Have practical experience with Linux, containers, cloud infrastructure, and networking, including routing, DNS, and secure connectivity. Can design clear APIs and data models that simplify complex workflows. Are product-minded and want to stay close to customers, understand their needs, and own solutions from problem discovery through launch and iteration. Communicate technical decisions clearly and work effectively across disciplines and locations. Experience building on AWS, GCP, or Azure is a plus. Depth in one or more of developer platforms, workflow engines, Kubernetes, networking, sandboxing, identity systems, security products, or AI-agent workflows would be useful; we don’t expect expertise across all of them. Frontend experience is welcome but not required. 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.
About the Team OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. The Technical Accounting, Accounting Policy, and Financial Reporting organization partners across Finance to assess complex corporate matters and develop well-supported U.S. GAAP conclusions. The team supports non-routine business activities requiring thoughtful technical judgment, scalable accounting policies, financial statement disclosures, processes, and controls. About the Role You will partner closely with Technical Accounting, Financial Reporting and Controllership to translate complex accounting conclusions into scalable operational procedures. You will build processes for non-standard transactions, including warrants, equity-method investments, debt and equity securities, non-controlling interests, hypothetical liquidation at book value allocations, business combinations, and other complex financing, investment, and capital arrangements. You will advise stakeholders across Corporate Accounting, Financial Reporting, Treasury, Legal, Tax, Strategic Finance, FP&A, Equity, Internal Controls, valuation specialists, and external auditors. You will help resolve complex accounting questions, align leaders on material judgments and risks, and translate conclusions into audit-ready memoranda, close entries, disclosures, processes, and controls. This is a highly visible role for an accounting professional who can turn technical conclusions into practical execution, support non-routine transactions through recurring close processes, and strengthen operational accounting across Finance. In this role, you will: Own operational accounting for complex financing, investment, equity, and capital arrangements, including classification, measurement, presentation, disclosure, and recurring close processes. In partnership with technical accounting, lead day-one and recurring accounting for non-standard transactions, including fair-value measurements, equity-method investments, debt and equity securities, warrants, noncontrolling interests, and hypothetical liquidation at book value allocations. Perform reconciliations for assigned accounts, investigate discrepancies, and drive issues to resolution. Support the resolution of complex accounting matters during monthly and quarterly close. Ensure conclusions are reflected in financial statement presentation, footnote disclosures, journal entries, reconciliations, ownership, and controls. Build operational processes to assess impairment indicators and asset recoverability for goodwill, intangible assets, long-lived asset groups, equity-method investments, nonmarketable equity investments, and debt securities, as applicable. Coordinate valuations for non-standard transactions with Technical Accounting and valuation specialists. Lead audit support for assigned investments and other complex accounting areas. Prepare evidence-backed schedules, memoranda, reconciliations, valuation support, and financial statement tie-outs. Analyze significant equity and other compensation awards, and partner with Equity Administration and Controllership to ensure accurate, timely accounting and booking. Coordinate with Tax on downstream impacts without owning tax conclusions. Partner with Financial Reporting and Internal Controls to strengthen controls, SOX/ICFR readiness, impairment monitoring, audit trails, tie-outs, and subsequent-event procedures. Monitor emerging accounting standards and translate new guidance into policies, implementation plans, disclosures, reporting calendars, and scalable processes. Participate in cross-functional initiatives involving accounting-policy implementation, operating-model changes, legal-entity matters, and systems or process improvements. Develop pragmatic accounting policies, playbooks, decision frameworks, and automation that improve consistency, strengthen capability, preserve judgment, reflect economic substance, and escalate unresolved issues. You might thrive in this role if you: Hold a CPA, CA, or equivalent accounting qualification, or bring comparable demonstrated technical-accounting expertise. Bring 5+ years of progressive experience in technical accounting, accounting advisory, public accounting, corporate controllership, or complex financial reporting, with meaningful industry or transaction experience. Demonstrate broad U.S. GAAP expertise across corporate accounting, financial instruments, consolidation, business combinations, equity-method investments, debt and equity securities, impairment, fair value, financial statement presentation, and complex ownership structures. Apply relevant guidance across ASC 320, 321, 323 326, 350, 360, 470, 480, 718, 805, 810, 815, and 820; and other applicable guidance as the facts require. Have developed or reviewed audit-ready technical memoranda, implemented conclusions in recurring operations, worked constructively with external auditors, and grounded conclusions in evidence, economic substance, and authoritative guidance. Have experience with significant aspects of close and reporting, acquisitions or investments, complex ownership structures, consolidation, or impairment assessments. Understand how technical decisions affect journal entries, reconciliations, disclosures, and controls. Understand how accounting policies and judgments flow into close, financial statements, disclosures, reconciliations, significant estimates, treasury activity, and external-reporting readiness. Set priorities across consequential workstreams and raise the bar for inclusive, scalable accounting practices while protecting financial reporting integrity. Have experience with Oracle Fusion Accounting Hub, accounting rules engines, automated subledgers, ERP implementations, or similar source-to-general-ledger 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.
About the Team The Codex Deployment Engineering team helps customers adopt OpenAI's coding tools throughout their software development lifecycle. We act as trusted technical partners, guiding engineering teams as they integrate Codex into their projects and workflows. Our customers span digital-native companies to global enterprises, and we work side-by-side to accelerate how they plan, build, and deliver software. About the Role We are seeking a technically deep, creativity-driven AI Deployment Engineer who is already a power user of AI coding tools and passionate about pushing the boundaries of developer productivity. You will partner directly with engineering leaders and hands-on builders to design, validate, and scale advanced AI workflows, often using Codex to prototype and build the very demos, integrations, and automations customers ultimately adopt. This is a highly cross-functional role that blends technical architecture, product strategy, and customer-facing leadership. You’ll work closely with Sales, Solutions Engineering, Product, Applied Engineering, and the broader Codex organization to advocate for customer needs, shape product direction, and accelerate the successful deployment of intelligent coding systems across some of the world’s most influential companies. This role will be based in our São Paulo, Brazil office three days per week. We require candidates to be fluent in Portuguese, Spanish, and English . In this role, you will: Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows. Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout. Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process. Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely. Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex. Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams. Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows. Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption. You might thrive in this role if you: Have 5+ years of technical consulting, post-sales engineering, solutions architecture, or similar experience working directly with customers. Are an active power user of AI coding tools and have deeply customized your own developer workflow; you have a point of view on what makes engineers more productive. Enjoy building scrappy, high-signal demos, integrations, and prototypes that clearly articulate what Codex can enable, often using Codex to accelerate your own development process. Have experience delivering large, high-impact workshops or technical training to engineering teams and know how to craft sessions that are engaging, hands-on, and outcomes-driven. Have contributed technical guides, patterns, or examples publicly and care about clarity, pedagogy, and community impact. Ability to communicate complex technical concepts in clear, persuasive written and verbal form especially when helping customers make strategic decisions about where and how to apply AI. Are excited by ambiguous, rapidly evolving problem spaces and enjoy iterating toward novel solutions hand-in-hand with customers. Care about customer success, reliability, safety, and operational excellence as much as you care about technical ingenuity. 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.
About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. Start in minutes with a fully managed, scalable Postgres database and a suite of tools that eliminate the complexity of backend development. Use one or use all—Supabase gives teams the flexibility of open source with the speed and simplicity of a modern platform, so they can move fast without sacrificing control. What Are We Looking For We’re looking for a Platform Security Engineer to join our team and help strengthen the security of Supabase’s infrastructure, cloud platform, Kubernetes environments, and containerized workloads as we continue to scale. You’ll work closely with infrastructure, platform, SRE, product engineering, and technical leadership , helping us proactively reduce risk across the systems that run Supabase. This role is ideal for someone who has deep hands-on experience with AWS, Kubernetes, containers, Linux, and large cloud environments and is excited about securing developer infrastructure without slowing teams down. Success in this role means improving the security posture of the platform through pragmatic engineering, clear technical judgment, and scalable guardrails. What You’ll Be Responsible for In this role, you’ll: Identify and reduce security risk across AWS, Kubernetes, containerized workloads, and platform infrastructure. Conduct threat modeling, architecture reviews, and technical risk assessments for platform and infrastructure systems. Partner closely with infrastructure, platform, and SRE teams to design practical controls and secure-by-default patterns. Improve Kubernetes and container security across areas like workload isolation, RBAC, admission control, secrets, network policy, and runtime hardening. Assess container runtime and Linux isolation risks, including capabilities, seccomp/AppArmor, namespaces, cgroups, and container escape scenarios. Strengthen AWS security posture across IAM, account boundaries, network controls, logging, detection, encryption, and service configuration. Build scalable mechanisms such as automation, guardrails, paved paths, detection, secure defaults, and review frameworks. Distinguish between theoretical risk and material platform risk to prioritize security efforts effectively. You Might Be a Good Fit If You Have senior-level experience in platform security, cloud security, infrastructure security, container security, or security engineering . Have deep practical experience with AWS, Kubernetes, containers, and Linux security fundamentals . Have worked in large cloud environments , multi-cluster Kubernetes setups, developer platforms, SaaS platforms, or high-scale infrastructure teams. Can reason clearly about identity, networking, workload isolation, runtime security, secrets, supply chain, and blast radius . Communicate clearly across both technical and non-technical audiences, especially in a written, asynchronous environment . Are able to manage security efforts across complex projects with various stakeholders Are energized by solving real-world infrastructure security problems and navigating ambiguity while moving quickly. Prefer building guardrails, automation, and secure defaults over creating unnecessary process or bottlenecks. What We Offer Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. About the Team Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. ~400 team members 60+ countries 20+ languages spoken Over $1B raised (including our $500M Series F) 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
About the Team The Enablement Lead (EL) team enables organizations to turn OpenAI products into real, sustained impact through world-class enablement and training execution. Our mission is to help customers successfully adopt and operationalize AI across their organizations. We partner with enterprises to translate the potential of OpenAI’s technology into durable capability—through structured training, technical enablement, and scalable deployment programs. By helping customers move from experimentation to production, the EL team accelerates time-to-value, deepens product adoption, and helps make OpenAI indispensable to how organizations work. About the Role The Enablement Lead, Knowledge Work is a specialist post-sales enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. This role is responsible for designing and delivering enablement experiences that support a repeatable adoption framework, driving sustained activation, expanding breadth and depth of usage, and measurable business value across OpenAI’s product suite, including ChatGPT Enterprise and Agents. This role blends strong product fluency, instructional design, and customer advisory. You will lead live workshops, deliver services, and design adoption interventions for audiences ranging from everyday business users to technical practitioners and executive leaders, helping customers understand not just what OpenAI’s products can do, but how to apply them effectively in real world workflows. Success in this role means accelerating customer confidence, increasing product adoption, supporting successful launches of new product capabilities, and helping customers translate product features into tangible outcomes across teams and business functions. You will own outcomes related to activation and sustained usage by shaping how enablement drives measurable customer impact. This role is based in London/Dublin. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: Own the enablement of OpenAI products, including ChatGPT Enterprise and Agents, helping define effective enablement patterns that support adoption across business and technical teams within enterprise organizations. Serve as a Subject Matter Expert (SME) for designated product areas, building deep expertise, supporting internal enablement, identifying emerging customer use cases for new product surfaces, and aggregating customer feedback to inform product development. Lead customer enablement across the full customer lifecycle, from initial onboarding through expansion, optimization, and long-term adoption. Design and deliver high-impact engagements, including onboarding sessions, advanced capability trainings, executive briefings, hackathons, and hands-on workshops for audiences ranging from senior leaders to working teams. Drive customer activation, sustained usage, and measurable business value through structured enablement programs designed for durable, organization-wide adoption. Partner closely with Sales, Solution Architects, Delivery Leads to drive adoption across our core product suite. Develop and refine reusable training assets, playbooks, and best practices based on patterns observed across customers and regions. Gather customer feedback from training and enablement engagements, synthesize themes across accounts, and relay insights to internal stakeholders to inform product and program improvements. Serve as a Subject Matter Expert (SME) for designated product areas, building deep expertise, supporting internal enablement, identifying emerging customer use cases for new product surfaces, and aggregating customer feedback to inform product development. You might thrive in this role if you: Have 6+ years of experience in customer facing, enablement, or instructional roles, engaging C-level, business, and technical audiences in complex enterprise environments. Possess exceptional presentation and communication skills, particularly when translating AI capabilities into clear, practical value for senior and executive level audiences. Have strong product fluency across ChatGPT, Agents, and the broader OpenAI ecosystem, with a practical understanding of how AI capabilities can be applied to real world workflows and enterprise use cases. Have experience leading workshops and enablement programs, with the ability to design learning journeys, facilitate live sessions, and respond to questions in real time. Can identify patterns across customers and translate them into scalable approaches that improve adoption across the broader customer base Can connect product capabilities to concrete business outcomes such as productivity gains, operational efficiency, cost reduction, risk mitigation, or revenue impact. Are comfortable thinking on your feet in live customer environments, adapting quickly to new information, shifting priorities, and real time questions while maintaining clarity, ownership, and momentum. Bring a humble attitude, an eagerness to help others succeed, and a strong curiosity to continuously learn and deepen your understanding of emerging AI capabilities. Are personally committed to fostering the safe and responsible evolution of AI. 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.
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 services partner ecosystem is a critical channel for bringing Claude to enterprise customers worldwide. This ecosystem spans the full spectrum of services firms — from global system integrators and the world's largest consultancies, to specialist and regional SIs, to our growing cohort of AI-native boutique partners. Together, their reach, vertical depth, and delivery capacity are essential to scaling Claude's enterprise footprint. Managing this breadth well requires rigor, repeatability, and a team that can drive meaningful joint outcomes across a portfolio of partners that differ widely in scale, operating model, and maturity. We're looking for a Head of Partner Management & Ecosystem BD to lead the team of Partner Account Managers responsible for the full range of our services partnerships and to develop and execute commercial strategies for the ecosystem in partnership with Sales. You'll coach and develop a team of PAMs, shape the operating model for how we engage each segment of the ecosystem, and build the programs, playbooks, and measurement systems that let us scale with quality. You'll work closely with partnerships leadership, sales, product, and customer success to ensure our partners are equipped to win and deliver transformative AI solutions for their clients. The commercial side of this role is as important as the team-leadership side. Working hand in hand with Sales leadership, you'll define where and how partners create revenue for Anthropic — which partners we co-sell with in which accounts and industries, how partner-sourced and partner-influenced pipeline is built and forecast, and what a joint account plan looks like when both sides own the number. You'll develop new ways of going to market, while also managing the tri-party motion with our cloud service partners and tech company partnerships, so that a services partner, a cloud platform, and Anthropic show up to a customer as one coordinated offer rather than three separate conversations. This role sits at the intersection of team leadership, partner strategy, and operational execution. You'll stay close enough to the work to engage directly with partner leadership when it matters, while investing most of your time in making your team and the broader ecosystem more effective over time. Key responsibilities Lead, coach, and develop a team of Partner Account Managers covering Anthropic's services partners, from global SIs and consultancies through to AI-native boutique partners Set clear expectations, goals, and operating standards; hold the team accountable to partner revenue, pipeline, and program outcomes Hire and retain exceptional talent; build a team culture grounded in rigor, partnership, and care for Anthropic's mission Develop and execute commercial strategies for the partner ecosystem in partnership with Sales — defining joint account plans, co-sell priorities by segment and industry, and pipeline and revenue targets that both organizations own Develop new ways of going to market, while also managing the tri-party motion with our cloud service partners and tech company partnerships Build the rules of engagement between PAMs and account teams: how partners are brought into deals, how sourced and influenced pipeline is attributed and forecast, and how conflicts are resolved Identify and launch new partner-led routes to market — industry solutions, packaged offerings, marketplace transactions — and prove them out with a small set of partners before scaling across the portfolio Own the ecosystem's contribution to the revenue plan; report on partner-sourced and partner-influenced pipeline, bookings, and consumption to partnerships and sales leadership Shape the operating model for each segment of the ecosystem: how PAMs plan with partners, run QBRs, forecast, track partner health, and prioritize their time across a portfolio Design engagement models that fit the partner — executive-level, multi-threaded relationships with global SIs alongside scalable, programmatic coverage for boutique and regional partners Partner with the broader SI program to adapt tier structure, benefits, and requirements to partner dynamics Build and evolve playbooks that help PAMs recruit, onboard, activate, and grow partners consistently Work with enablement, product, and solutions teams to ensure partners have the training, certifications, and technical resources they need to build and deliver production-grade Claude solutions Identify gaps in partner readiness, drive cross-functional investment to close them, and ensure consistent quality of partner engagement across the team Collaborate with sales, partner operations, marketing, legal, and finance to remove friction and accelerate joint outcomes Surface partner, market, and product insights to inform Anthropic's broader partner strategy and roadmap, and represent the business in partnership leadership forums Minimum qualifications Experience leading partner sales, channel sales, alliances, or partner management at a technology company, including ownership of a revenue number Experience managing partner-facing teams, including senior individual contributors A track record of driving revenue through SI or consulting partner channels, consistently meeting or exceeding targets Executive-level relationships with C-level and partner-level stakeholders at major consulting and services firms Experience developing and executing commercial strategy jointly with a Sales organization, including co-sell motions, joint account planning, and partner-sourced pipeline that shows up in the revenue plan Strong commercial acumen and comfort coaching a team through complex deals, partner negotiations, and multi-stakeholder enterprise sales cycles Fluency with partner KPIs, pipeline forecasting, and dashboards, and experience using data to drive team and program decisions Excellent communication and relationship-building skills, from partner practitioners to senior executives, both externally and internally Willingness to travel to support partner relationships and joint customer engagements Interest in AI and a commitment to Anthropic's mission of building safe, beneficial AI systems Preferred qualifications A track record of building and scaling a commercially focused partnerships organization, from early stage to mature operations — defining the strategy, hiring the team, establishing the operating cadence, and delivering measurable revenue outcomes Experience running multi-party go-to-market motions with cloud service providers and technology partners, and a clear view on how to keep those motions aligned when incentives diverge Familiarity with hyperscaler co-sell programs and marketplace-led transactions, and experience launching a new partner route to market from concept to repeatable motion Experience building or scaling partner programs — tier structures, enablement, playbooks, and operating cadences — in a fast-growing environment Experience managing a portfolio that spans both a small number of top-tier strategic accounts and a broad base of smaller partners, and a view on how to drive leverage across both Direct experience working with or at global SIs or consultancies, and/or with specialist, regional, or AI-native boutique services firms Experience in AI, cloud platforms, or other high-growth technology categories where partner enablement and technical differentiation are critical Experience managing partner teams across multiple geographies and cultures A background that spans partner management and adjacent disciplines such as direct enterprise sales, partner sales, or alliances strategy Comfort with ambiguity and a track record of creating structure in emerging programs A point of view on how AI is reshaping the SI ecosystem and how Anthropic should engage global SIs, specialist partners, and AI-native boutiques differently 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: $425,000 — $580,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As an Applied AI team member at Anthropic, you will be a cybersecurity specialist working alongside our enterprise account teams to help the world’s largest organizations use Claude to secure the systems and software they build and run. You’ll combine deep security expertise with customer-facing skills to help customers along their cybersecurity journey with Claude, wherever they are starting from, and wherever they want to go. Enterprise security teams are at very different stages with AI: some are running their first experiments, others are ready to put Claude to work across their security program. They also span every kind of organization, each with its own priorities: regulated industries like financial services, insurance, and healthcare; strategic accounts like semiconductors, focused on protecting IP, securing industrial control systems, and handling export controls; and digital natives and public sector agencies with their own threat models. You’ll meet customers where they are, help identify where Claude can take on meaningful security work, and guide them from early pilots to lasting, production security workloads. Along the way, you’ll help security leaders explain the value of this work in terms their executives care about. Working closely with our Sales, Product, Research and Engineering teams, you’ll guide customers from technical discovery through deployment, and you’ll work with the partners in the security ecosystem — ISVs, systems integrators, and managed security providers — that already serve these customers, enabling them where they own the engagement rather than competing with them. Responsibilities: Partner with account executives and account architects to understand a customer’s security program, identify where Claude can take on real security work, and translate that into a technical plan and a business case Serve as the primary security-domain technical advisor to large enterprise customers, from discovery and initial evaluation through deployment, coordinating internally across multiple teams and stakeholders to drive customer success Move customers from one-time code scanning to sustained security workloads: application security embedded in the software development lifecycle, continuous automated penetration testing, alert triage and investigation, and threat intelligence that answers “does this new vulnerability affect us, and where” Build and maintain the reference implementations, harnesses, and evaluation approaches customers use to run these workloads with Claude, and help customers adapt them to their own environments and controls Design and run workshops and hands-on sessions where customer security teams engage directly with Claude on their own code and workflows Work with security industry partners on shared accounts, enabling them to deliver Claude-powered security outcomes and drawing a clear line between what Anthropic delivers directly and what partners deliver Deliver technical content across the full range of audiences: deep dives with security engineers and appsec teams, and value- and risk-focused conversations with CISOs and executives Define and track how deeply each security workload is adopted across your accounts, and work with our Product and Engineering teams on the telemetry needed to measure it Write the playbooks and best practices for each security workload that the rest of the field can reuse, including how Claude complements the security tooling customers already own Identify common patterns and feature gaps and contribute insights back to our Product and Engineering teams Develop reference customers who can speak to the value they are realizing Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and in the security landscape, including the new classes of vulnerabilities and attacks that frontier models surface You may be a good fit if you have: 5+ years of experience in security roles, with hands-on depth in at least two of: application security and secure SDLC, offensive security and penetration testing, detection and response, or threat intelligence and vulnerability management Experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, security consultant, or Technical Account Manager, or in a security team where you had to win investment from leadership Experience working with large enterprise customers, navigating complex buying cycles involving multiple stakeholders, and working alongside the vendors and partners already in the account The ability to explain the value and risk of security work to CISOs and executives, and to translate between security teams, engineering teams, and the business Comfort with Python and with CI/CD and cloud environments, and direct experience integrating tooling into an engineering workflow Familiarity with common LLM frameworks and tools, and practical experience using LLMs for security work — code review, vulnerability discovery, triage, or investigation Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Strong candidates may also have: Experience building or operating security automation at scale — scanning pipelines, triage systems, or detection engineering Experience serving a broad range of customers and the security priorities that come with each: regulated industries such as financial services, insurance, or healthcare; strategic accounts such as semiconductors, where the concerns are protecting IP, securing industrial control systems, and handling export controls; and digital-native and public sector organizations Experience working with or at a security ISV, systems integrator, or managed security provider Contributions to open-source security tooling, published research, or CVEs to your name 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 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma’s Business Development & Partnerships team accelerates our company goals by working with partners to enhance product experiences, expand our ecosystem, and drive user and revenue growth. As Figma’s product portfolio and user base continue to evolve, the team plays a critical role in connecting our platform to a broader network of builders, developers, and solution partners. As Figma expands how AI is embedded across products like Figma Make and Agent, partnerships with leading and emerging AI providers are becoming increasingly important to our product strategy. We’re looking for an AI Product Partner Manager to identify, develop, and manage relationships with AI model and technology providers, translate product priorities into partnership opportunities, and bring integrations and go-to-market programs to life. In this role, you’ll work closely with Product, Engineering, AI Research, Marketing, Communications, Legal, Strategic Finance, and executive stakeholders to deliver meaningful impact for Figma, our partners, and our users. If you’re excited about working at the intersection of AI, product, and partnerships, and you enjoy bringing clarity and momentum to complex opportunities, this may be the role for you! This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Develop and own partnership strategies for emerging AI model providers and other strategic technology partners, monitoring the evolving AI landscape and evaluating where new models, technologies, or capabilities could advance Figma’s product and company priorities. Work closely with Product, Engineering, and AI Research to understand roadmap priorities, coordinate access to promising technologies, support technical and product evaluations, and translate findings into partnership recommendations. Evaluate inbound opportunities from AI providers, existing partners, and strategic customers, developing clear recommendations and briefs for product leaders and executive stakeholders. Lead new partnership opportunities with existing and prospective partners, including integrations, product collaborations, and go-to-market programs in partnership with Marketing, Communications, and Sales Enablement. Align internal stakeholders around partnership structures and terms, lead negotiations, and execute agreements in collaboration with Legal, Strategic Finance, and other cross-functional teams. Manage the day-to-day health of partner relationships and multiple concurrent workstreams, defining success metrics, measuring impact, and proactively addressing risks and open questions. Collaborate with Product, Engineering, and partner technical teams to scope integrations and extensibility opportunities involving APIs, MCP, and other technical platforms. Prepare and facilitate executive briefings, strategic partner meetings, and internal updates while helping strengthen the operating foundation for Figma’s growing AI partner program. We'd love to hear from you if you have: 5+ years of experience in product or technology partnerships, business development, ecosystem management, or strategic partner management, with a track record of driving multifaceted partnerships from strategy through execution. Experience working in AI or strong familiarity with the AI model landscape preferred. A history of leading end-to-end deals, including developing the business case, aligning stakeholders, negotiating terms, and executing agreements while balancing the needs of Figma, our partners, and our users. Experience working with Product, Engineering, Research, Marketing, Operations, Legal, Finance, and other internal teams around technical concepts including APIs, MCP, extensibility platforms, and AI model integrations. Excellent written, verbal, presentation, and executive communication skills. Strong analytical, organizational, and prioritization skills, along with the strategic judgment, curiosity, and initiative allowing you to thrive in a fast-moving and ambiguous environment. While not required, it’s an added plus if you also have: Direct experience managing partnerships with AI model providers, frontier AI companies, or open-weight model ecosystems. Experience coordinating early access programs or product and technical evaluations with AI providers. At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $140,000 — $296,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice .
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Safeguards team is responsible for ensuring our models and products are developed and deployed safely. We're looking for an Engineering Manager to lead our Review Tooling team, which builds the systems that humans — and increasingly Claude — use to investigate potential harms and take enforcement actions across Anthropic's first-party products and third-party cloud platforms. This is a foundational role: you'll own the tools our safety investigators rely on to understand what's happening on our platforms and act on it, as well as the platform underneath those tools. That platform includes analytics capabilities, privacy-preserving primitives that keep review workflows compatible with our data retention commitments, and a sandbox environment where new review interfaces and workflows can be built and iterated quickly. As model capabilities and usage grow, you'll also drive how we scale review through automation — building systems where Claude meaningfully extends what human reviewers can do, while keeping people in the loop where their judgment matters most. You'll partner closely with policy, operations, data science, and legal teams to ensure our enforcement systems are effective, accurate, and trustworthy. Key responsibilities Lead, grow, and develop a team of engineers building investigation, review, and enforcement tooling for both first-party and third-party platform surfaces Define the vision and roadmap for our review tooling platform, including analytics, privacy-compatible data access primitives, and a sandbox for rapidly developing new review interfaces Drive the team's strategy for scaling review through automation, including enabling reviewers to use Claude effectively and building toward Claude-assisted and Claude-driven review workflows Partner with policy, operations, legal, privacy, and data science stakeholders to translate enforcement and investigation needs into reliable, well-designed systems Ensure review tooling evolves alongside new privacy primitives and data retention commitments, so reviewers can do their work without compromising user trust Create clarity for the team and stakeholders in an ambiguous and evolving environment Take an inclusive, equitable approach to hiring and coaching top technical talent, and maintain a high-performing team Contribute to engineering-wide initiatives as a member of Anthropic's engineering management community Minimum qualifications Experience managing software engineering teams, including hiring, coaching, and developing engineers A technical background in full-stack or platform engineering, with the ability to engage deeply in architecture and design discussions Experience shipping internal tools or platforms with demanding operational users, and a track record of improving their workflows measurably Experience working cross-functionally with non-engineering partners such as operations, policy, or legal teams Excellent communication skills, including the ability to explain technical tradeoffs to non-technical stakeholders Care about the societal impacts of AI and want your work to make powerful systems safer Preferred qualifications 4+ years of management experience, 10+ years of industry software engineering experience Experience building trust and safety, integrity, fraud, or abuse-prevention tooling, or other systems supporting human review at scale Experience designing systems under strict privacy, compliance, or data governance constraints, such as zero data retention environments Experience integrating LLMs or agentic systems into operational workflows, or building human-in-the-loop automation Experience building developer platforms or extensible tooling frameworks that other teams build on top of Experience supporting enforcement or moderation systems across multiple product surfaces, including enterprise or cloud platform contexts The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000 — £390,000 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.