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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. About the Role We are hiring a AI Platform Engineer to build the execution layer for Supabase's internal AI systems. Supabase is building an AI-native internal operating system: a common way of working across the company where AI carries a meaningful share of the operational load rather than sitting alongside it as an assistant. We are standing up a new central team to build those systems, enable the teams, and embed AI operations throughout the organization. You are the engineer on that team. The execution layer is yours. You will build the platform that actually runs agents: an event-triggered queue, a headless model-agnostic runtime, durable state so work survives a restart, a human review gate, atomic rollback, and full logging of every prompt, tool call and decision so any run can be reconstructed. You will build the evaluation layer that makes any of it trustworthy, because an agent that cannot be measured cannot be trusted with anything beyond reading. And you will build the agents themselves, across everything from executive reporting down to a layer of agents that watch the platform and improve it. This is a governance-heavy environment by design, and that is the interesting part of the problem. Agents are risk-tiered from read-only internal data through to external-facing output, with review depth, evaluation requirements and human approval scaling by tier. Some capabilities are permanently off limits: an agent may read and report, it may carry a human-authored update into a system of record once a human consents, and it may initiate contact within a strict budget, but it may never autonomously write a commitment (an owner, a due date, a status) into a shared work system. Your job is to make that structurally impossible rather than merely forbidden. You will be the only engineer on this platform. You will close open architecture decisions yourself, own the infrastructure end to end, and instrument the system so it reports its own return. What You'll Be Responsible For In this role, you'll: Ship the agent platform to production. An event-triggered queue, a headless model-agnostic runtime (choosing the runtime is an open decision you will close), durable state that survives a failed run, a human review gate, atomic rollback, and complete run logging in the warehouse. Own the evaluation layer, and switch on the gate that depends on it. Golden suites with behavioral assertions rather than intuition, judge criteria with a written rubric, safety cases that must pass on every run, and a CI gate that blocks a regression from merging. This is the precondition for every agent that does anything beyond read internal data. Build and register the agent portfolio. Reporting, drafting, linting, triage and question-answering agents across the executive, team-lead and individual-contributor layers, plus a meta layer that observes the platform and improves it. Enforce governance in code. Risk tiers the pipeline actually enforces, least-privilege credentials per agent, tool-permission gates, a decision audit log, and autonomy classes where the dangerous class has no code path rather than a warning label. Nothing runs without a registered owner, tier, tool grant and human gate. Design how the system contacts people. A hard interruption budget per person, message bundling instead of a stream of pings, and a structure that gives something useful before it asks for anything. Adoption depends on this more than on any other single design choice. Own the platform tooling. The compiler and validator, inventory integrity, and the paths that distribute context and capabilities into the repositories and chat surfaces where work happens. Compute the operating measures from production data. A pipeline from raw system activity through to a computed maturity grade per team, defensible enough that a team can dispute the result and be answered with the query rather than an opinion. Instrument the platform's own return. A ledger that logs the work each agent absorbs and computes the monthly figure, so the value of the system is a measurement rather than a claim. How You'll Think Recursive Thinking You build the generator, not the artifact. When you need thirty agents, you do not write thirty agents; you build the inventory, the compiler and the distribution path that makes the thirty-first cost an afternoon, then a meta layer whose job is to watch the platform, find its drift and file the fix. The evaluation layer is the same move applied to trust. You are not checking whether one agent is correct today. You are building the machine that decides whether every future agent is allowed to ship, which means the suite has to be right in a way the agent does not, and the thing that grades has to be graded too. Inversion Thinking You start from the failure and work backward to the design. The rule is that an agent may never autonomously write a commitment into a shared work system. The weak implementation is an instruction in a prompt. The strong one is that the credential in the agent's tool grant physically cannot set an owner, a due date or a status, so no amount of clever input, prompt injection or model error produces the forbidden write. You reach for the second one first. Same for evaluation. Before writing a suite you enumerate how the agent can be wrong: an update that invents progress that did not happen, one that quotes a private channel into a public digest, one that is accurate and reads as an accusation, one that credits the wrong person. Then the suite is that list, each case caught before the agent ships rather than after it embarrasses someone. AI-Native Execution You use agentic tools on real work, in files and repositories, with the same rigor you apply to anything else you ship. You have a setup of your own and can describe it mechanically: what triggers it, what it is allowed to touch, where the human approves, what it logs, and how you found out the one time it went wrong. That experience is this job, generalized. You are building for async engineers across 40+ countries who will judge the platform by whether it saves them an hour or costs them one, so you are your own first user and your own harshest reviewer. You Might Be a Good Fit If You Must Have Have shipped production LLM agent systems that other people depended on. Not demos, not internal showcases. Systems with operational history, real users and at least one incident you can talk through. Prompt engineering on its own does not clear this bar. Design evaluations, not spot checks. You build golden sets, write behavioral assertions, define judge rubrics, set pass thresholds and gate CI on the result. You can explain why "we reviewed a bunch of outputs and they looked good" is not evaluation. Have done deep API work against the systems work actually lives in , and have authored MCP servers. You know the specific failure modes of those APIs, not just that they exist. Own infrastructure end to end in Python on GCP, with a cloud warehouse and infrastructure as code. You provision, deploy, monitor and roll back your own systems, and you close architecture decisions rather than routing them onward. Have taste about how software contacts humans. You treat every notification as spending a limited amount of trust. Strong Signal Public work in this space. An open-source agent framework, an MCP server, an evaluation harness, or writing on agent reliability that other practitioners cite. LLM observability and cost instrumentation. Tracing agent runs, attributing spend per run, and building the queries that turn raw logs into a report someone acts on. You have built an internal platform that non-engineers adopted voluntarily , and can describe what you changed after watching them use it. What Success Looks Like The platform is boring. Agents run on a schedule and on events, state survives restarts, failed runs roll back cleanly, and every run can be reconstructed from its log. Nothing ships unevaluated. Every registered agent has a real suite with safety cases, the gate blocks regressions, and when someone challenges an output the answer is a test case rather than an argument. The dangerous action is impossible, not discouraged. An audit of any agent's credentials shows it cannot perform the writes it is not allowed to perform, and the audit log makes every consequential decision traceable. Teams pull the platform instead of being pushed. Agents get adopted because the reports are useful and the contact is rare and well-timed, and each team ends up with at least one workflow that runs automatically. The platform reports its own value. The work absorbed is measured and published, so the case for expanding it is made with data rather than enthusiasm. 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 Industrial Compute team is responsible for building the physical infrastructure that powers OpenAI’s largest-scale AI systems. We design, deploy, and operate next-generation compute infrastructure across a rapidly expanding global footprint, combining OpenAI-owned infrastructure with strategic cloud and infrastructure partners to support frontier AI workloads. As our infrastructure footprint grows, operational excellence across third-party providers becomes increasingly critical. Our team ensures external infrastructure partners consistently deliver the reliability, performance, and operational maturity required to support OpenAI’s rapidly expanding compute environment. About the Role We are seeking a Hardware Technical Program Manager, Infrastructure Partner Operations to lead operational delivery across OpenAI’s third-party infrastructure partners, including major cloud service providers and strategic compute vendors. In this role, you will serve as the primary operational program manager for external infrastructure partners, driving accountability for service delivery, operational readiness, incident management, performance reporting, and continuous operational improvement. You will work closely with partner engineering and operations teams while coordinating internally across Hardware Engineering, Infrastructure Operations, Capacity Planning, Networking, Supply Chain, Deployment, Reliability Engineering, and executive leadership. Success in this role requires someone who understands how hyperscale infrastructure organizations operate, can establish strong operational governance with external partners, and is comfortable driving complex technical programs without direct ownership of the underlying infrastructure. Key Responsibilities Own operational engagement with third-party infrastructure providers, ensuring consistent execution against operational commitments, service-level agreements (SLAs), and performance expectations. Develop operational governance frameworks with strategic partners, including business reviews, operational scorecards, escalation processes, executive reporting, and performance improvement plans. Define, track, and continuously improve key operational metrics related to infrastructure availability, deployment execution, incident response, operational health, service quality, and partner performance. Build dashboards and reporting mechanisms that provide clear visibility into partner operational performance, risks, trends, and areas requiring executive attention. Drive cross-functional coordination between OpenAI teams and external infrastructure providers to resolve operational issues, remove execution blockers, and improve delivery outcomes. Lead operational escalations involving infrastructure availability, deployment execution, hardware operations, capacity delivery, or service performance, ensuring timely resolution and clear executive communication. Establish repeatable operating rhythms with external partners, including weekly operational reviews, executive business reviews, service reviews, action tracking, and long-term improvement initiatives. Partner with Capacity Planning, Hardware Operations, Networking, Deployment, Reliability Engineering, and Supply Chain teams to ensure external infrastructure providers remain aligned with OpenAI’s operational priorities. Identify systemic operational risks across partner organizations and proactively drive corrective actions that improve long-term operational effectiveness. Qualifications 7+ years of experience in Technical Program Management, Infrastructure Operations, Cloud Operations, Service Delivery, or Technical Account Management within large-scale infrastructure environments. Experience managing operational relationships with external infrastructure providers, cloud service providers, hardware vendors, or strategic technology partners. Strong understanding of hyperscale cloud infrastructure, data center operations, infrastructure delivery, or large-scale distributed systems. Experience developing operational KPIs, SLAs, service health metrics, dashboards, and executive reporting for complex technical organizations. Demonstrated success leading cross-functional operational programs involving both internal stakeholders and external partners. Strong program management skills with the ability to drive accountability across organizations without direct authority. Excellent written and verbal communication skills with experience presenting operational performance to senior technical and executive leadership. Bachelor's degree in Engineering, Computer Science, Information Systems, Operations, or equivalent practical experience. Preferred Skills Experience managing cloud infrastructure operations within organizations such as Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), Oracle Cloud Infrastructure (OCI), or other hyperscale cloud providers. Experience leading operational governance, service delivery, customer success engineering, technical account management, or infrastructure operations for enterprise cloud customers. Strong understanding of service-level agreements (SLAs), operational KPIs, incident management, escalation processes, root cause analysis, and continuous service improvement methodologies. Experience building executive dashboards, operational scorecards, business review frameworks, and data-driven performance reporting. Familiarity with infrastructure operations supporting GPU infrastructure, AI infrastructure, high-performance computing (HPC), or hyperscale data center environments. Experience managing complex cross-company technical relationships while balancing customer priorities, engineering constraints, and operational execution. Proven ability to influence senior stakeholders across both internal teams and external partner organizations without direct authority. Experience driving continuous operational improvements through metrics, process optimization, and structured governance. 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’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing together world-class scientists, engineers, and business leaders to translate frontier research into real-world impact. Within OpenAI, the Go-to-Market organization helps customers understand, adopt, and scale our products across their businesses. The team includes Sales, Solutions, Support, Marketing, Partnerships, and Strategic Pursuits professionals who work together to bring the benefits of AI to organizations globally. About the role We are hiring a Senior Specialist Seller to join the Strategic Pursuits team and lead priority opportunities generated through the joint AWS and OpenAI co-sell motion. You will partner closely with Account Directors, AWS field teams, and cross-functional stakeholders to identify, shape, advance, and close high-value strategic enterprise engagements. This role is ideal for a senior seller with deep experience in enterprise technology, AI, cloud, or complex transformation sales motions. You should be comfortable operating in executive-facing environments, aligning multiple stakeholders, and turning customer priorities into commercially compelling and technically credible opportunities. This role is based in San Francisco, Seattle, or New York. We operate on a hybrid model of 3 days per week in office and offer relocation support. We are also open to remote candidates based in the United States. In this role, you will: Lead commercial execution of priority AWS/OpenAI co-sell opportunities across strategic enterprise accounts. Identify and qualify high-potential opportunities focused on GenAI adoption, frontier platform use cases, and enterprise-wide transformation. Partner with AWS and OpenAI field teams to align account strategy, messaging, stakeholder mapping, and execution plans. Develop customer-facing value propositions that connect OpenAI capabilities with business priorities and AWS infrastructure strategies. Drive executive-level engagement including customer meetings, business case development, negotiations, and account reviews. Coordinate cross-functionally with Sales, Partnerships, Solutions Architecture, Product, Legal, Finance, and Deal Desk teams to progress complex opportunities. Build repeatable co-sell playbooks, qualification frameworks, account planning processes, and sales assets to scale the joint motion. Manage pipeline health, forecasting inputs, deal risks, blockers, and escalation needs across assigned pursuits. Serve as a trusted advisor to Account Directors by bringing strategic selling expertise and deal-structuring judgment. Maintain awareness of competitive dynamics across hyperscalers, GenAI platforms, and enterprise AI vendors. You might thrive in this role if you: Have 15+ years of experience in enterprise sales, strategic business development, cloud partnerships, or complex technology go-to-market roles. Have a strong track record of shaping and closing large-scale enterprise technology deals. Bring experience in AI, GenAI, cloud, data, enterprise software, or professional services sales. Have worked in overlay sales, specialist seller, strategic pursuits, or partner-led co-sell environments. Understand AWS commercial models, enterprise account planning, cloud commitments, and partner operating rhythms. Can engage credibly with CIOs, CTOs, CDOs, business leaders, procurement teams, and partner executives. Demonstrate strong commercial judgment in opportunity qualification, deal strategy, and escalation management. Thrive in ambiguity and can build new operating motions from the ground up. Communicate clearly and synthesize technical, customer, and commercial inputs into actionable recommendations. Have prior experience at AWS, another major cloud provider, a leading enterprise software company, or a high-growth AI company. Understand partner-led sales motions involving hyperscalers, GSIs, or strategic technology partners. Bring familiarity with enterprise AI use cases across industries such as financial services, healthcare, retail, manufacturing, technology, energy, or public sector. 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's mission is to ensure that artificial general intelligence benefits all of humanity. The U.S. Policy and Partnerships team sits within Global Affairs and helps translate that mission into trusted, practical engagement with civil society, community leaders, researchers, and other external stakeholders across the United States. Our current operating model is built around disciplined, cross-functional campaigns: moving from abstract persuasion to local proof, pairing policy expertise with real-world use cases, and working with trusted validators who can help communities understand, shape, and benefit from AI. The team works closely with colleagues across Global Affairs, Legal, Safety, Communications, Product, Research, and other functions to build relationships that are substantive, durable, and grounded in two-way learning. About the Role As U.S. External Affairs Associate, you will work with the team leads to help advance OpenAI's engagement with civil rights organizations, civil society groups, researchers, community-based organizations, and other external stakeholders shaping the AI policy debate in the United States. This role is central to the team's partnership and outreach operating model. You will help identify priority stakeholders, design engagement strategies, and build the external relationships and feedback loops. The work is not about one-way education; it is about co-design, listening, product and policy learning, and creating concrete proof points that can strengthen public trust. Reporting to the External Affairs Lead, you will work across the U.S. Policy and Partnerships team and in close coordination with State and Local Policy, Federal Affairs, Communications, Safety, Legal, Product, and Research. OpenAI is evolving quickly as we release new research, products, and tools. Day-to-day work may include representing OpenAI at convenings, designing a stakeholder strategy around a fast-moving policy issue, organizing partner briefings, preparing product and policy explainers, supporting local proof-point campaigns, coordinating quarterly partner reviews, or translating feedback from civil society into actionable insights for internal teams. This role is based in Washington, DC and may require frequent travel to meet with key stakeholders. We offer relocation assistance to new employees. In This Role, You Will Build and maintain trusted relationships with civil rights, civil society, research, community, labor, education, accessibility and other stakeholder organizations relevant to OpenAI's U.S. policy priorities. Help execute a repeatable engagement operating model grounded in co-design, localized benefits, trusted validators, cross-functional planning, and regular partner reviews. Develop stakeholder maps, engagement plans, briefing materials, and follow-up systems for priority policy campaigns and rapid-response moments. Support federal and state engagement strategies by identifying credible third-party voices, local proof points, and community feedback that can inform policy positions and advocacy. Prepare OpenAI executives and subject-matter experts for external meetings, convenings, roundtables, and public events. Translate complex AI product, safety, and policy topics into clear materials for external audiences, including standing content packs and deeper product briefings for technology policy stakeholders. Surface external concerns and opportunities related to data and trust, deepfakes, child safety, job displacement, energy costs, copyright, civil and human rights, mental health, and other areas of public concern. Coordinate closely with Global Affairs, Communications, Legal, Safety, Product, Research, and other internal teams to ensure stakeholder engagement is accurate, thoughtful, and useful to the business. Track relationship health, engagement outcomes, commitments, risks, and follow-ups so the team can operate with accountability and continuity. You Might Thrive In This Role If You Are deeply familiar with the civil society, civil rights, and technology policy landscape in the United States. Are an effective coalition builder who can earn trust with a wide range of stakeholders, including groups that may be skeptical of OpenAI or AI more broadly. Enjoy working in fast-moving, ambiguous environments where strategy, execution, and judgment all matter. Can move easily between external relationship-building and internal cross-functional coordination. Are comfortable translating technical and policy complexity into clear, useful materials for non-technical audiences. Have strong instincts for where public trust, policy risk, and product reality intersect. Are energized by the promise of AI while taking seriously its potential harms and uneven impacts. We’re looking for someone with: Established network and credibility with civil society, civil rights, research, community, and other stakeholder organizations, including groups representing underrepresented communities. Deep experience in technology policy, public policy, public affairs, civil society engagement, advocacy, campaigns, or a related field. Strong understanding of the federal, state, and local policy institutions, processes, and debates shaping AI governance in the United States. Demonstrated ability to design and execute stakeholder engagement strategies tied to concrete policy, partnership, or public trust objectives. Excellent communication, presentation, briefing, and interpersonal skills, with the ability to convey complex technical and policy concepts to diverse audiences. Strong project management skills, including the ability to manage shared resources, timelines, follow-ups, and cross-functional workstreams. Sound judgment, high integrity, and the ability to operate thoughtfully on sensitive or high-salience issues. Proven ability to work with cross-functional teams, especially policy, communications, legal, safety, product, research, and technical teams. Genuine care for the impact of technology on society and a demonstrated ability to listen carefully to external concerns. 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 Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role Trusted Computing and Cryptography is a core security team at OpenAI focused on deploying high-performance cryptography at scale, secure key management, and trusted hardware enclaves—from boot measurements to GPU confidential computation. As a Hardware Platform Security Architect, you’ll own hardware platform security at OpenAI. In this role, you will: Co-Architect Secure Silicon: Collaborate with cross-functional silicon teams (Silicon Design, DV, FW) and silicon partners (silicon test facilities, foundries) to develop secure silicon that meets the end-to-end system requirements. Co-Architect Secure Hardware: Collaborate with hardware vendors and cross-functional teams (kernel, compiler, infra) to design secure hardware that meets performance and security needs. Co-Architect Secure Systems: Architect and deploy systems using TPM2, Secure Boot, Nitro Enclaves, Intel SGX, AMD-SEV, and other secure hardware technologies. Drive Innovation: Engage with internal and external partners to align hardware innovations with OpenAI’s trusted computing and cryptographic requirements. You might thrive in this role if you have: 10+ years of industry experience in hardware security or hardware–software co-design. Proven expertise in deploying secure hardware systems at scale and integrating secure hardware primitives. Strong coding skills in Rust and/or C/C++, with proficiency in Python. Proven ability to collaborate across teams, architect solutions, and debug complex production systems. A proactive, ownership-driven mindset with a focus on end-to-end problem solving. Nice to Have Advanced degree in Computer Architecture, Electrical Engineering, or related fields. Familiarity with HPC, low-precision computing, and SIMD architectures. 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 Role OpenAI's ads platform is experiencing rapid global scale. As the Lead Data Scientist for SMB Ads Growth, you will architect the analytics function end-to-end—driving strategy across targeting, funnel optimization, and performance forecasting. You will work directly with the SMB Ads Marketing team and your insights will be the primary catalyst for high-stakes decisions across marketing, product, and sales engineering. What You'll Do Full-Funnel Analytics Establish the foundational growth metrics and North Star KPIs for the SMB Ads ecosystem, optimizing the journey from lead acquisition to long-term retention. Diagnose funnel friction points through advanced behavioral analysis and quantify the incremental revenue impact of proposed optimizations. Partner cross-functionally to transform complex data findings into actionable, high-priority roadmaps for product and marketing stakeholders. Targeting, Segmentation & Propensity Modeling Engineer sophisticated propensity models and look-alike frameworks to identify and capture high-LTV SMB advertisers. Own the lifecycle of target list construction, including advanced data enrichment, multi-dimensional prioritization, and granular performance tracking. Develop robust segmentation architectures that power hyper-personalized outreach across paid, partnership, and outsourced (BPO) channels. Synthesize market signals to refine our value proposition, ensuring OpenAI remains a key platform for SMB business growth. Campaign Analytics & Measurement Design and implement rigorous multi-touch attribution and incrementality frameworks to evaluate channel efficacy. Lead the experimental roadmap: formulate hypotheses, execute A/B and multivariate tests, and communicate results to executive leadership. Automate business-critical reporting and dashboards to provide real-time visibility during weekly operating reviews. Forecasting & Planning Build high-fidelity revenue and advertiser growth models to project performance against quarterly and annual targets. Simulate the impact of various growth levers—such as regional expansion and channel activation—to drive strategic resource allocation. What We're Looking For Required 5+ years of experience in data science or growth analytics within an ads platform, marketplace, or high-growth B2B environment. Proven track record of deploying machine learning models (propensity, LTV) that significantly moved business metrics. Strong SQL; proficient in Python or R. Experience thriving in ambiguous "0-to-1" environments, with a hands-on approach to building data infrastructure and processes. Strongly Preferred Prior experience at a major scaled ads platform (e.g., Meta, Google, LinkedIn). Experience working in 0-1 environments A deep passion for artificial intelligence and proficiency in leveraging AI tools to accelerate modeling and insight generation. 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 Role OpenAI's ads business is scaling quickly. As the Data Scientist for Ads Demand, you will build the measurement and insight foundation for understanding demand health and advertiser value across the marketplace. You will partner closely with Ads Sales leadership and Ads Product leadership—along with Marketing Science and product and sales teams—to diagnose advertiser performance, define benchmarks, identify growth opportunities, and turn advertiser feedback into product priorities. Your work will shape demand strategy, improve advertiser outcomes, and help OpenAI build for its most valuable advertisers. What You'll Do Demand Health & Measurement Define the North Star metrics, diagnostic framework, and measurement strategy for demand health across the ads system. Build the operating view of demand across spend, active advertisers, retention, budget utilization, delivery, concentration, and mix; identify emerging risks and opportunities. Diagnose changes in demand through cohort analysis, decomposition, experimentation, and causal methods, translating findings into clear actions for Sales and Product leadership. Advertiser Performance & Benchmarks Own the end-to-end view of advertiser outcomes—including delivery, ROAS, conversion performance, retention, and budget efficiency—for individual advertisers and key cohorts. Establish actionable benchmarks by objective, vertical, advertiser size, geography, maturity, and product adoption, with statistically sound peer comparisons. Develop early-warning signals and opportunity scoring that help sales teams surface under-delivery, performance risk, and advertiser growth potential. Set standards for metric definitions, data quality, and interpretation so leaders can separate real marketplace changes from seasonality, selection effects, and measurement artifacts. Insights, Adoption & Advertiser Feedback Partner with Marketing Science, Sales, and Product to translate analysis into credible advertiser-facing insights, benchmarks, and best practices. Design measurement plans and experiments that quantify how best-practice and product adoption affect delivery, ROAS, retention, and long-term advertiser value. Build a systematic feedback loop that converts advertiser input into quantified themes and prioritized product opportunities, then measures whether shipped changes improve outcomes. Strategy, Forecasting & Business Impact Partner with Ads Sales leadership to segment demand, size opportunities, forecast outcomes, and inform demand strategies, sales plays, and investments. Partner with Ads Product leadership to estimate advertiser value, prioritize the roadmap, and measure the business impact of product launches. What We're Looking For Required 7+ years of experience in data science or analytics within an ads platform, marketplace, or performance-oriented B2B business. Demonstrated business impact through advertiser demand growth, improved delivery or ROAS, stronger retention, or decisions that changed product and sales strategy. Strong SQL and Python or R, with depth in measurement, experimentation, causal inference, segmentation, benchmarking, and forecasting. Exceptional cross-functional communication and influence with both sales and product leaders, plus a hands-on approach to ambiguous, 0-to-1 problems. Strongly Preferred Experience at a high-performing ads business where data scientists work broadly across Sales, Marketing Science, and Product rather than in a narrow silo. Hands-on familiarity with ad delivery, auctions, measurement, attribution, conversion signals, and the advertiser lifecycle. Experience turning customer feedback into product priorities and evidence-backed best practices that improve advertiser outcomes. 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’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role As an Account Director, Large Enterprise, you will own executive-level relationships with leading life sciences organizations, including global pharmaceutical manufacturers, medical device companies, and contract research organizations. You’ll help these companies safely and effectively deploy OpenAI’s technology to transform R&D productivity, automate documentation, enhance regulatory workflows, and personalize patient and provider engagement. This role blends scientific literacy, technical depth, business acumen, and relationship-driven enterprise sales. You will collaborate closely with researchers, engineers, and healthcare-focused solution strategists to design secure, compliant, and high-impact AI deployments. This role is based in London. In this role, you’ll: Manage a focused portfolio of large pharmaceutical and life sciences accounts, developing long-term strategic account plans Lead complex, multi-stakeholder sales cycles spanning R&D, medical, regulatory, and commercial functions Partner with solutions and research engineering to design pilots that demonstrate measurable business and scientific impact Collaborate with compliance, privacy, and security teams to ensure responsible deployment of AI in regulated environments Own a revenue and consumption target; manage forecasts and pipeline reporting Monitor industry and regulatory trends (FDA, EMA, etc.) to guide customer and product strategy Represent OpenAI at industry conferences and thought-leadership events Partner cross-functionally with marketing, partnerships, and communications to build the LS go-to-market motion We’re seeking someone with experience including: 10+ years selling complex enterprise software or platform-as-a-service solutions to life sciences customers Proven success achieving annual revenue targets >$2M+ in regulated industries Experience managing C-suite relationships across R&D, IT, medical, and commercial teams Strong understanding of healthcare and life sciences workflows (e.g., drug discovery, clinical trials, regulatory submissions, market access) Familiarity with data privacy and compliance (HIPAA, GxP) Demonstrated ability to design and execute complex deal and partnership strategies You might thrive in this role if you: Are customer-centric and can translate complex scientific and business needs into transformative AI solutions Are passionate about advancing human health through the safe and ethical use of AI Are a builder who enjoys designing scalable systems and repeatable sales motions from the ground up Are a strategist who anticipates industry shifts and guides enterprise customers through them Are energized by ambiguity and motivated to create structure and clarity across complex, cross-functional engagements 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’s Legal team plays a crucial role in advancing our mission by tackling novel and consequential legal issues in AI. The commercial infrastructure legal team supports the systems and facilities that make advanced AI possible, including compute, first-party silicon, colocation, and first-party data center development. About the Role We’re seeking a senior commercial infrastructure lawyer to lead legal work across our rapidly growing data center development and colocation portfolio. You will advise on complex, high-value transactions involving new data center sites, power, construction, colocation, and related infrastructure arrangements. This role is designed for a lawyer who understands how data centers are developed and operated—not a general real estate practitioner. You will work closely with infrastructure, finance, procurement, and operations teams, while coordinating outside counsel where appropriate, to help projects move quickly and responsibly. San Francisco is preferred, and occasional travel may be required. In this role, you will: Lead commercial legal strategy and risk management for data center development and colocation transactions. Draft, negotiate, and advise on colocation agreements, construction agreements, power-related arrangements, and other contracts supporting data center development. Support first-party projects involving raw land, site and power rights, design and construction, EPC models, third-party build-to-suit structures, and leasebacks. Partner cross-functionally with infrastructure, finance, procurement, operations, and other stakeholders on fast-moving, complex projects. Manage and collaborate effectively with outside counsel across a high volume of infrastructure matters. Develop scalable legal playbooks and contracting approaches for a growing portfolio of data center sites. You might thrive in this role if you have: 12+ years of legal experience, primarily in commercial legal roles. Deep, hands-on experience drafting, negotiating, and advising on colocation and data center agreements. Experience with one or more of the following: first-party data center builds, construction and EPC agreements, power arrangements, raw-land development, build-to-suit projects, or leasebacks. A track record leading sophisticated, high-value commercial infrastructure transactions. Experience at a hyperscaler, cloud or compute provider, data center developer, major colocation company, or law firm practice focused on comparable commercial infrastructure matters. A mix of in-house and top-tier law firm experience. Excellent judgment and the ability to operate autonomously in a highly technical, fast-paced environment. Strong communication skills and an ability to translate complex legal issues into practical, business-aligned guidance. A JD and license or qualification to practice in California. 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’s Real Estate & Workplace (REW) team creates and operates the spaces, programs, and services that enable employees to do their best work. The team’s work spans real estate, workplace operations, design and construction, workplace experience, food programs, employee services, analytics, and global programs. As OpenAI’s presence in India grows, REW is building flexible, scalable, AI-native, people-centered workplaces that combine a consistent employee experience with strong operational and financial discipline and thoughtful adaptation to each location. Workplace & Location The location for this role is Mumbai or Bangalore . The role requires to be onsite 5 days per week, with regular travel among Mumbai, New Delhi, and Bangalore. About the Role We are looking for an experienced Senior Workplace Operations Manager to set the operational direction, define the workplace operating model, and lead workplace operations and employee experience across OpenAI’s locations in India, including but not limited to Mumbai, New Delhi, and Bangalore. This hands-on, country-level role combines strategic planning, senior stakeholder partnership, and day-to-day execution in a fast-changing environment. As OpenAI’s senior workplace operations owner in India, you will translate business and employee needs into a scalable, AI-native operating model and define the standards, priorities, and service outcomes that support the country’s growth. You will remain accountable for delivery through integrated facilities-management partners, contractors, and specialist vendors, while partnering closely with India business leaders, regional REW leadership, and colleagues across REW, Workplace Experience, Leasing, Design & Construction, Food, Corporate Security, IT, Finance, People, and Procurement. This is a senior individual-contributor role reporting to the Head of Workplace, JAPAC. You’ll be responsible for: Set and own the country-wide workplace operating model, service quality, operational readiness, employee experience, and escalations across India, including but not limited to Mumbai, New Delhi, and Bangalore. Keep India workplaces safe, reliable, welcoming, and ready for employees, visitors, and business priorities. Own integrated facilities-management governance, service standards, SLAs, KPIs, commercial accountability, and escalation paths for facilities-management partners, contractors, and specialist vendors. Serve as a strategic workplace partner to India business leaders and regional REW leadership, anticipate emerging needs, and align country priorities with regional REW strategy. Own country-level operating budgets, forecasting, resource prioritization, purchasing discipline, and vendor spend in partnership with Finance and Procurement. Lead operational readiness and cross-functional handover for office openings, expansions, renovations, moves, commissioning, and post-occupancy stabilization. Own the governance and escalation of workplace safety, facilities-related compliance, emergency preparedness, incident response, corrective actions, and business continuity in partnership with the appropriate experts. Define and continuously improve scalable playbooks, standard operating procedures, service standards, documentation, and reporting across sites. Define service KPIs and use workplace data, employee feedback, operational metrics, and financial insights to inform leadership decisions and measure improvement. Coordinate with Workplace Experience, Food, Corporate Security, IT, People, Finance, and Procurement on programs, executive visits, events, and office changes. Provide senior operational leadership during incidents, communicate clearly with business and regional stakeholders, and drive timely resolution and corrective actions. Advance an AI-native workplace through practical use of AI, automation, and lightweight tools to improve visibility, reduce manual work, and strengthen operational controls We’re looking for someone with: 8+ years of experience in workplace, facilities, corporate real estate, hospitality operations, or a related field, including complex or multi-site environments. Demonstrated independent leadership of workplace or facilities operations across multiple locations in India, including experience building or scaling operating models in Mumbai, New Delhi, and Bangalore. Proven management of integrated facilities-management providers, contractors, and specialist vendors, including SLAs, performance reviews, escalations, and commercial accountability. Ownership of country-level operating budgets, forecasting, procurement, invoice processes, and vendor spend. Working knowledge of workplace safety, emergency preparedness, business continuity, and India facilities-related compliance, with sound judgment about when to involve specialists. A strong track record of partnering with India business leaders, regional stakeholders, executives, landlords, vendors, and cross-functional partners without formal authority. Strong project and change-management skills across concurrent workstreams, dependencies, and deadlines. A systems mindset and experience turning recurring problems into clear processes, standards, reporting, and operating rhythms. Clear, proactive communication of operational risks, priorities, decisions, and trade-offs. Senior-level independent ownership, sound risk and escalation judgment, and the ability to move confidently between country strategy and hands-on execution. The ability to thrive as the operating model evolves in a high-growth, fast-changing environment. Preferred: experience in a high-growth global technology company or similarly complex, service-intensive organization. Preferred: direct involvement in opening, expanding, relocating, or stabilizing offices in India. 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's Professional Services team helps organizations move from AI ambition to durable production outcomes. We partner with customers on complex deployments and build the strategy, commercial models, operating mechanisms, and delivery capacity needed to realize value from OpenAI's models and products. The team works across Go-to-Market, Forward Deployed Engineering, Technical Success, Finance, Product, Legal, Data, Systems, and delivery partners. We are building a services motion that is customer-centered, commercially rigorous, operationally scalable, and deliberately connected to product adoption. About the Role We are seeking a senior GTM Strategy & Operations professional to build and scale the operating system for OpenAI's Professional Services business. This is a foundational, hands-on individual contributor role at the intersection of business strategy, finance, go-to-market, and delivery. You will turn ambiguous questions—what we offer, how we price and package it, how we plan capacity, and how we measure performance—into clear decisions and repeatable mechanisms. You will own business planning, pricing and packaging, forecasting and modeling, management reporting, and cross-functional strategic initiatives. You will build integrated views of demand, staffing, revenue, margin, and delivery performance; replace one-off analyses with durable processes; and create operating cadences that help leaders act early. You will be a trusted partner to Professional Services, GTM, FDE, Technical Success, Finance, Product, Legal, Revenue Operations, and Data leaders. The right person combines direct Professional Services judgment with rigorous analytics, executive communication, and the willingness to build the model, process, or dashboard themselves. You’ll be responsible for: Define and drive the business and GTM strategy for Professional Services, including target customer needs, offer portfolio, positioning, pricing and packaging, partner motions, and where to standardize versus tailor delivery. Own long-range, annual, and quarterly planning for the services business, translating goals into bookings, revenue, margin, capacity, utilization, role mix, geography, hiring, and investment assumptions. Build and maintain integrated demand, capacity, staffing, and revenue models; develop scenarios and sensitivities; improve bottom-up forecast accuracy; and turn the output into clear executive recommendations. Design the management system for the business: KPIs, source-of-truth reporting, dashboards, pipeline and staffing reviews, and monthly and quarterly operating cadences. Improve the end-to-end services lifecycle from opportunity intake and scoping through commercial design, contracting, staffing, delivery, and expansion, partnering with Revenue Operations and Systems rather than duplicating their ownership. Partner with Finance, Legal, GTM, FDE, Technical Success, and delivery leaders on business cases, services economics, deal tradeoffs, resource allocation, and investment decisions. Lead ambiguous cross-functional initiatives from problem definition through implementation, creating clear decision rights, mechanisms, and accountability. Translate recurring customer and delivery patterns into inputs for product strategy, enablement, partner strategy, and more repeatable product-plus-services offerings that accelerate durable product adoption. We’re looking for someone with: 8+ years of experience in GTM Strategy & Operations, Business Operations, Strategic Finance, management consulting, or a comparable role, including direct experience in a technology Professional Services, implementation, systems-integration, consulting, or managed-services business. Deep command of services economics and operating levers such as pipeline, bookings, backlog, revenue timing, gross margin, utilization, capacity, staffing mix, delivery quality, and customer outcomes. Exceptional quantitative modeling skills: you can build auditable demand, staffing, revenue, and scenario models; work fluently in spreadsheets; and use SQL, BI, or other data tools to test assumptions and improve decisions. Strong commercial and GTM judgment across pricing and packaging, offer design, forecasting, resource allocation, and complex enterprise delivery motions. A record of turning ambiguous strategy into repeatable operating mechanisms, decision frameworks, reporting rhythms, and measurable results. Excellent executive communication and influence; you can frame choices, surface assumptions, and drive alignment across technical and non-technical leaders. Demonstrated leadership of complex cross-functional programs and teams. People-management experience is helpful, but this role is initially scoped as a senior individual contributor. A low-ego, high-ownership working style, comfort with rapid change, and genuine interest in how frontier AI can create durable customer 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.