Job description

ABOUT THE TEAM OpenAI's Enterprise team builds AI-powered enterprise products and shared platform capabilities that help organizations put advanced AI to work securely and at scale. Our work spans enterprise workflows, agent experiences, integrations, identity, administration, security, governance, and deployment. ABOUT THE ROLE As a Technical Program Manager on Enterprise, you will lead the technical strategy and execution behind the products and shared capabilities that make ChatGPT, Codex, and future OpenAI products useful, secure, and scalable for organizations. You will translate customer needs, competitive dynamics, and product priorities into actionable plans, influence architectural direction, and deliver durable capabilities across application, platform, and infrastructure layers. The role requires deep technical fluency, strong product judgment, and the ability to move between hands-on execution and broader enterprise strategy. 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: - Drive technical strategy and execution for enterprise product and AI workflow initiatives, from design through implementation, launch, customer rollout, and iteration. - Partner with engineering teams to influence architectural direction, interface definitions, and implementation tradeoffs across full-stack products, APIs, integrations, and shared platform systems. - Translate enterprise customer requirements into actionable product priorities across AI-powered workflows, agent experiences, integrations, permissions, data access, evaluations, identity, security, governance, and deployment readiness. - Represent the needs of enterprise buyers, IT administrators, security teams, business leaders, developers, and end users in product and technical decisions. - Identify adoption barriers, competitive gaps, and opportunities to make OpenAI products easier for organizations to evaluate, purchase, deploy, manage, and scale. - Balance near-term customer needs and delivery commitments with long-term platform direction, technical quality, and responsible deployment. - Coordinate enterprise launch readiness, including security and operational requirements, customer-facing dependencies, escalation paths, and post-launch follow-through. - Drive alignment across Product, Engineering, Security, Safety, Legal, Design, and GTM, with clear ownership, milestones, sequencing, and decision-making. - Work directly with enterprise customers, design partners, and customer-facing teams to identify high-value workflows, understand deployment friction, and turn recurring customer needs into scalable product and platform improvements. - Define success through measurable improvements in enterprise activation, workflow quality, production readiness, sustained adoption, customer trust, and business impact. - Improve execution through practical operating mechanisms, scalable tooling, and data- or AI-assisted workflows. - Communicate program health, technical risks, recommendations, and consequential tradeoffs clearly to engineering teams and senior leadership. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have a strong track record leading complex technical programs across enterprise software, cloud platforms, developer products, or AI systems. - Bring strong technical acumen across several of the following areas: full-stack product systems, client technologies, API development, scalable architecture, and enterprise integrations, with a track record of influencing architectural direction and technical decisions. - Understand enterprise requirements such as SSO, SCIM, role-based access control, audit logging, data residency, compliance, and administrative controls. - Understand how enterprises evaluate, buy, deploy, and govern software, including the different priorities of buyers, administrators, security teams, developers, and end users. - Can connect technical architecture, hands-on problem-solving, customer conversations, and strategic decisions, connecting implementation details to product direction and business outcomes. - Bring strong product judgment across modern AI systems, including agents, connectors, tool use, retrieval or context, evaluations, and the tradeoffs across reliability, latency, cost, safety, and user experience. - Exercise sound judgment in ambiguous environments and can bring structure to complex work without slowing teams down. - Experience leading enterprise software launches involving security, identity, compliance, or deployment readiness is preferred. - Communicate clearly, build trust across functions, and influence decisions without relying on formal authority. 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 cdn.openai.com. 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 form.asana.com. 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 form.asana.com. OpenAI Global Applicant Privacy Policy cdn.openai.com 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.

Requirements

Must-haves

Drive technical strategy and execution for enterprise product and AI workflow initiatives, from design through implementation, launch, customer rollout, and iteration.
Partner with engineering teams to influence architectural direction, interface definitions, and implementation tradeoffs across full-stack products, APIs, integrations, and shared platform systems.
Represent the needs of enterprise buyers, IT administrators, security teams, business leaders, developers, and end users in product and technical decisions.
Identify adoption barriers, competitive gaps, and opportunities to make OpenAI products easier for organizations to evaluate, purchase, deploy, manage, and scale.
Balance near-term customer needs and delivery commitments with long-term platform direction, technical quality, and responsible deployment.
Coordinate enterprise launch readiness, including security and operational requirements, customer-facing dependencies, escalation paths, and post-launch follow-through.
Drive alignment across Product, Engineering, Security, Safety, Legal, Design, and GTM, with clear ownership, milestones, sequencing, and decision-making.
Define success through measurable improvements in enterprise activation, workflow quality, production readiness, sustained adoption, customer trust, and business impact.
Improve execution through practical operating mechanisms, scalable tooling, and data- or AI-assisted workflows.
Communicate program health, technical risks, recommendations, and consequential tradeoffs clearly to engineering teams and senior leadership.
YOU MIGHT THRIVE IN THIS ROLE IF YOU:
Have a strong track record leading complex technical programs across enterprise software, cloud platforms, developer products, or AI systems.
Understand enterprise requirements such as SSO, SCIM, role-based access control, audit logging, data residency, compliance, and administrative controls.
Understand how enterprises evaluate, buy, deploy, and govern software, including the different priorities of buyers, administrators, security teams, developers, and end users.
Can connect technical architecture, hands-on problem-solving, customer conversations, and strategic decisions, connecting implementation details to product direction and business outcomes.
Bring strong product judgment across modern AI systems, including agents, connectors, tool use, retrieval or context, evaluations, and the tradeoffs across reliability, latency, cost, safety, and user experience.
Exercise sound judgment in ambiguous environments and can bring structure to complex work without slowing teams down.
Communicate clearly, build trust across functions, and influence decisions without relying on formal authority.

Nice-to-haves

Experience leading enterprise software launches involving security, identity, compliance, or deployment readiness is preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiapi

Platform: ashby
Effort: quick