Technical Program Manager, People Innovation Labs

We Love AI Jobs; San Francisco (CA); Hybrid; USD 257,000 - 335,000; Full time

Job summary

We Love AI Jobs in San Francisco (hybrid) is seeking an experienced Technical Program Manager to lead execution for OpenAI’s People Innovation Labs. You will coordinate product, design, engineering, data, and operations, driving planning, delivery, launches, and adoption of AI-powered people-systems.

You will gather user feedback and usage signals to guide iteration, report progress to leadership, and ensure alignment across teams on priorities and timelines.

Qualifications

• 7+ years of experience leading technical programs.
• Proven ability to coordinate product, design, engineering, data, and operations teams.
• Experience turning user research and metrics into actionable plans.

Responsibilities

• Lead complex, high-priority programs from planning through launch, adoption, and iteration.
• Coordinate cross-functional teams around plans, dependencies, risks, and decisions.
• Gather user feedback and usage signals, translate insights into recommendations for product teams.
• Maintain visibility into priorities, progress, dependencies, risks, and outcomes across the portfolio.

Skills

Technical program management

Product launch

Program planning

Risk management

User research

Change management

Usage data analysis

Product iteration

Job description

# Technical Program Manager, People Innovation LabsOpenAISan Francisco (Hybrid)Full-time$257,000 – $335,000 / yearUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageThis role leads cross-functional execution for AI-powered products serving OpenAI’s People organization. You’ll coordinate planning, delivery, launches, and adoption, then gather user feedback and usage data to guide product iteration and report progress to leadership.* Permanent* Hybrid* 7+ years### Skills and expertiseTechnical program managementProduct launchProgram planningRisk managementUser researchChange managementUsage data analysisProduct iteration### Key responsibilities* Lead technical programs from planning through launch, adoption, and ongoing iteration.* Coordinate product, design, engineering, data, and operations teams around plans, dependencies, risks, and decisions.* Gather user feedback and usage signals, then turn findings into recommendations for product teams.## How this job comparesCompared with 577 open senior operations jobs on October 10, 2026.Pay: This job pays $257K to $335K a year. The 240 open senior operations jobs that publish US pay start at $143K on average, so this job starts about 80% higher.Similar open jobs: We Love AI Jobs lists 577 open senior operations jobs at 147 companies.Remote work: This job is hybrid. 88 of the 577 senior operations jobs (15%) are remote.AI in this role: Medium. The role uses AI tools and works with AI systems as a regular part of the job. The team builds AI-powered products using OpenAI’s latest models, and the role works closely with those products through launch and user feedback. The TPM coordinates delivery and adoption rather than building models directly.## Full descriptionAbout the TeamPeople Innovation Labs is a product, design, and engineering team embedded in the People organization. We build AI-powered products that improve how OpenAI finds and supports exceptional talent and helps employees do their best work.Our work spans recruiting, HR, learning, performance, culture, and company-wide knowledge. We build new products from the ground up and work closely with teams across OpenAI to rethink existing workflows using our latest models.About the RoleWe’re looking for an experienced Technical Program Manager to lead execution across a portfolio of complex, cross-functional initiatives.You’ll partner closely with product managers, designers, engineers, and teams across the People organization to turn product strategy into clear, coordinated execution. You’ll establish the plans and operating structures needed to move work forward, align technical and operational teams, drive decisions, manage dependencies and risks, and ensure stakeholders are prepared for launches.Because we build new products from the ground up, the work does not end when a product launches. You’ll own ongoing engagement with users, including onboarding, training, hands-on support, and creating clear ways for people to share feedback. You’ll develop a deep understanding of how our products fit into users’ day-to-day work, what is working, and where they are struggling. You’ll bring those insights back to product, design, and engineering so the team can iterate quickly toward product-market fit.You’ll also help keep the team aligned with its broader objectives. You’ll maintain a clear view of priorities, progress, dependencies, risks, and outcomes across the portfolio and provide clear updates and recommendations to team and company leadership.In this role, you will:• Independently lead complex, high-priority technical programs from early planning through launch, adoption, and ongoing iteration.• Partner with product and engineering leadership to translate strategy and team objectives into clear, executable plans.• Establish program structures, decision-making forums, operating cadences, and accountability across multiple teams.• Align product, design, engineering, data, operations, and other stakeholders around priorities, responsibilities, and delivery plans.• Partner closely with engineering leads to manage technical dependencies, sequencing, delivery risks, and launch readiness.• Identify gaps in strategy or execution, develop recommendations, and drive the decisions needed to move work forward.• Anticipate risks and blockers, clarify tradeoffs, resolve disagreements, and escalate decisions when needed.• Own communication, enablement, change management, and rollout strategies for new products and workflows.• Lead post-launch user engagement through onboarding, training, office hours, hands-on support, and other programs that drive adoption.• Build trusted relationships with users and create an environment where they provide frequent, candid feedback.• Observe how products fit into real workflows and identify points of confusion, friction, or unmet need.• Combine user feedback, usage data, and operational signals to understand what is working and what needs to change.• Translate user insights into clear themes and actionable recommendations for product, design, and engineering.• Create tight feedback loops that help the team test assumptions, learn quickly, and iterate toward product-market fit.• Define and track program health, adoption, user sentiment, and operational outcomes.• Maintain visibility into priorities, progress, dependencies, and risks across the team’s portfolio.• Prepare clear, decision-oriented updates and recommendations for senior leadership.• Improve the team’s planning and execution practices while keeping processes lightweight.