Sr. Staff Technical Program Manager
At a Glance
- Location
- San Francisco, CA, US; Remote, US
- Work Regime
- remote
- Experience
- 10+ years
- Department
- Engineering
- Posted
- 2026-07-23T13:53:05-04:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
- Legal
- Medical
Requirements
Minimum of 10 years of experience in technical program management or related experience leading company-level programs that directly impact business-critical objectives and revenue.
Demonstrated experience leading large-scale programs in ads, marketplace systems, machine learning/AI, ranking, recommendation systems, experimentation, measurement, data platforms, or similarly complex technical domains.
Expertise in building accountability systems across teams without a formal management structure: metric frameworks, roadmap tracking, launch governance, dependency management, and executive-level reporting.
Demonstrated experience using AI to improve speed and quality in day-to-day program work, with a clear approach to validating accuracy, protecting sensitive data, and maintaining accountability for final decisions.
Information regarding the culture at Pinterest and benefits available for this position can be found
Responsibilities
Lead company-level programs within Ads & Monetization — including areas such as Auction & Marketplace, Measurement & Attribution, Formats, and new surfaces — with direct impact on multiple company OKRs.
Identify opportunities to drive long-term business innovation and differentiation within Ads; anticipate business, technical, and regulatory issues that impact Pinterest’s monetization strategy.
Influence at the VP level: provide strategic input to leadership decision-making, drive alignment across orgs, and lead through technical credibility and communication — not through a management hierarchy.
Drive alignment across Product, Engineering, Data Science, Design, and Go-to-Market teams to deliver complex, vague, and strategically important Ads programs.
Own the metrics and accountability framework for your programs: connect delivery, performance, experimentation, and measurement signals into a clear source of truth for what shipped, what moved the metrics, and why.
Embed AI tools into program workflows to accelerate synthesis, planning, reporting, and repeatable workflows, applying appropriate judgment, verification, and privacy guardrails.