Technical Program Manager, Enterprise

Details

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. The 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 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, California. OpenAI uses a hybrid work model of three days in the office per week.

Responsibilities

• 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 go-to-market teams, 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.

Requirements

• A strong track record leading complex technical programs across enterprise software, cloud platforms, developer products, or AI systems.
• 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.
• Understanding of enterprise requirements such as SSO, SCIM, role-based access control, audit logging, data residency, compliance, and administrative controls.
• Understanding of how enterprises evaluate, buy, deploy, and govern software, including the different priorities of buyers, administrators, security teams, developers, and end users.
• Ability to connect technical architecture, hands-on problem-solving, customer conversations, and strategic decisions, linking implementation details to product direction and business outcomes.
• Strong product judgment across modern AI systems, including agents, connectors, tool use, retrieval or context, evaluations, and tradeoffs across reliability, latency, cost, safety, and user experience.
• Sound judgment in ambiguous environments and the ability to bring structure to complex work without slowing teams down.
• Experience leading enterprise software launches involving security, identity, compliance, or deployment readiness is preferred.
• Clear communication skills, the ability to build trust across functions, and the ability to influence decisions without relying on formal authority.

Benefits

• Base salary of $257,000–$445,000 per year, plus equity.
• Medical, dental, and vision insurance for employees and their families, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental leave, medical leave, and caregiver leave.
• Paid time off, paid company holidays, office closures, and paid sick or safe time as required by applicable law.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily meals in offices and meal delivery credits as eligible.
• Relocation support for eligible employees.
• Additional taxable fringe benefits may be provided, including charitable donation matching and wellness stipends.

OpenAI is an equal opportunity employer and is committed to providing reasonable accommodations to applicants with disabilities.