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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Staff Technical Program Manager - **Company:** Pinterest - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $163,639.0 - $336,903.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Machine Learning, Recommender Systems, Information Technology, Data Management, Marketplace - **Published:** July 24, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/87828003/1 ## About the Role * 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. ## Description * 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., * We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. * This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. ## Related Videos - [Launching a marketplace on-time: A lesson in taking shortcuts using spreadsheets!](https://www.wearedevelopers.com/videos/477-launching-a-marketplace-on-time-a-lesson-in-taking-shortcuts-using-spreadsheets) - [It's all about the Data](https://www.wearedevelopers.com/videos/425-it-s-all-about-the-data) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [The New Org Chart: When AI Joins the Workforce](https://www.wearedevelopers.com/videos/100036-the-new-org-chart-when-ai-joins-the-workforce) - [How to Monetize Your APIs](https://www.wearedevelopers.com/videos/749-how-to-monetize-your-apis) - [Developer Experience in the Age of AI](https://www.wearedevelopers.com/videos/1118-developer-experience-in-the-age-of-ai) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [The Best X (Twitter) Accounts for Developers](https://www.wearedevelopers.com/magazine/294-the-best-x-twitter-accounts-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 129 - Now that's what I call private data!](https://www.wearedevelopers.com/magazine/468-dev-digest-129-now-that-s-what-i-call-private-data)