Sr. Staff Technical Program Manager

What you’ll do

• 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.
• Bring structure and decision velocity to ambiguous, high-stakes work by establishing decision frameworks, surfacing tradeoffs, managing dependencies, and increasing alignment speed across executive and cross-functional teams.
• Exercise technical judgment equivalent to an L16 SWE: evaluate complex technical approaches, anticipate failure modes, sequence risky elements to fail fast, and guide teams in solving complex technical challenges across orgs.
• Embed AI tools into program workflows to accelerate synthesis, planning, reporting, and repeatable workflows, applying appropriate judgment, verification, and privacy guardrails.
• Provide thought leadership and mentorship: share best practices, create reusable tools and methodologies for the broader TPM org, and mentor PgMs and ICs across the company.

What we’re looking for

• 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.
• Track record of influencing senior leaders (VP/SVP/estaff) and aligning multiple organizations on programs of notable risk, complexity, and ambiguity.
• Experience contributing to product or technology roadmaps at the company level, translating ambiguous business opportunities into clear priorities, measurable outcomes, and durable execution plans.
• Expertise in building accountability systems across teams without a formal management structure: metric frameworks, roadmap tracking, launch governance, dependency management, and executive-level reporting.
• Technical judgment and communication skills that allow you to guide engineering teams through complex tradeoffs, anticipate risks, and evaluate technical approaches without being the primary designer.
• 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.
• BS in Engineering, Computer Science, Data Science, or equivalent work experience.