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OpenAIOpenAISan Francisco, CA

Technical Program Manager, Enterprise

Leads technical strategy and cross-functional execution for enterprise AI products, workflows, integrations, and platform capabilities. The role requires strong technical fluency, enterprise software experience, product judgment, and the ability to influence architecture and delivery across teams.

257k – 445k/yr
HybridTechnical Program Management

About the role

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 product priorities across AI-powered workflows, agent experiences, integrations, permissions, data access, evaluations, identity, security, governance, and deployment readiness.
  • Represent 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 improve evaluation, purchasing, deployment, management, and scaling of products.
  • Balance near-term customer needs 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 through clear ownership, milestones, sequencing, and decision-making.
  • Work with enterprise customers, design partners, and customer-facing teams to identify high-value workflows, deployment friction, and scalable product improvements.
  • Define success using 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 tradeoffs to engineering teams and senior leadership.

Requirements

  • Strong track record leading complex technical programs across enterprise software, cloud platforms, developer products, or AI systems.
  • Technical acumen across several areas including full-stack product systems, client technologies, API development, scalable architecture, and enterprise integrations.
  • Experience 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.
  • Ability to connect technical architecture, hands-on problem-solving, customer conversations, strategic decisions, product direction, and business outcomes.
  • Product judgment across AI systems, including agents, connectors, tool use, retrieval or context, evaluations, and tradeoffs involving reliability, latency, cost, safety, and user experience.
  • Ability to exercise sound judgment in ambiguous environments and structure complex work without slowing teams down.
  • Clear communication and ability to build trust and influence decisions without formal authority.

Nice-to-Haves

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

Compensation and Benefits

  • Annual salary range: $257,000–$445,000.
  • Hybrid work model of three days in the office per week.
  • Relocation assistance for new employees.

Skills

ai systemsFull-Stack DevelopmentAPI Developmentscalable architectureenterprise integrationsSSOSCIMrole-based access controlaudit loggingdata residencyComplianceAI Agentsretrievalevaluationscloud platforms
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