Sr. Technical Program Manager, Ads Performance

Solid technical background with the ability to understand system design, technical challenges, and risks, and to break down complex problems to drive decisions.

Proven ability to influence teams and drive alignment across multiple stakeholders and organizations.

Experience building scalable processes and operating mechanisms in cross-functional environments.

Preferred: experience in the ads space, especially across ads ecosystems, measurement, APIs, data pipelines, integrations, or data products.

Demonstrated AI-first execution mindset, including the ability to use GenAI to accelerate planning, communications, workflows, and decision-making, while applying strong judgment and operating within governance expectations.

Information regarding the culture at Pinterest and benefits available for this position can be found

Own end-to-end program delivery for complex Ads Performance initiatives, driving planning, execution, and launch across multiple teams with clear goals, milestones, and success metrics aligned to monetization outcomes and company OKRs.

Turn ambiguous problem spaces into clear program charters, roadmaps, and decision points, while proactively identifying and resolving gaps in ownership, requirements, resourcing, and data readiness.

Partner closely with Engineering, Product, Data Science, Design, Analytics, Sales, Business Development, Research, and Product Marketing to align stakeholders and turn opportunities into actionable outcomes.

Drive development of new performance capabilities across ads delivery and modeling, including initiatives related to bidding, ranking, optimization, and other strategies that improve ROI and user experience.

Help scale existing systems to support new surfaces, formats, markets, and use cases while maintaining reliability, latency, and cost efficiency.

Influence technical direction and tradeoff decisions by facilitating alignment on architecture, surfacing risks and uncertainties early, and helping teams navigate decisions across accuracy, latency, experimentation rigor, privacy, and measurement needs.