Enterprise AI Program Lead

Rozgoo

United States

Hybrid

USD 150,000 - 190,000

Full time

14 days+

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Benefits offered by this job

hybrid work model 3 days in the office

relocation assistance to new employees

Job summary

OpenAI's Enterprise team seeks a Technical Program Manager to lead the technical strategy and execution of enterprise products and shared platform capabilities, translating customer needs and priorities into actionable plans while guiding architecture and delivery across applications, platform, and infrastructure.

This San Francisco-based role offers a hybrid schedule (3 days in the office) and relocation assistance.

Qualifications

Strong track record leading complex technical programs across enterprise software, cloud platforms, or AI systems.
Technical acumen across full-stack product systems, client technologies, API development, scalable architecture, and enterprise integrations.
Understanding enterprise requirements such as SSO, SCIM, RBAC, audit logging, data residency, compliance, and administrative controls.
Experience connecting architecture, problem-solving, customer conversations to product direction.
Knowledge of AI systems, agents, connectors, tool use, retrieval or context, evaluations, tradeoffs in reliability, latency, cost, safety, UX.
Clear communication and influence without formal authority.

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 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.