Staff Product Manager, Ads Quality Ranking

Pinterest is a platform that helps people discover creative ideas and plan meaningful experiences. The Staff Product Manager will lead ads quality ranking and related back-end advertising capabilities, owning product vision, requirements, roadmaps, experimentation, and launches. The role partners with engineering, machine learning, data science, design, research, marketing, sales, and policy teams to improve advertiser and Pinner outcomes.

Responsibilities:

• Own a vision for new and existing capabilities that help match the right ad to the right Pinner at the right time, and translate problem statements into clear business and technical requirements through focused business requirements documents (BRDs) and product requirement documents (PRDs), including epics, user stories, and acceptance criteria, for your area. Create and maintain a clear, prioritized roadmap and requirements backlog, track requirement status from discovery through GA, and ensure traceability from business goals to shipped features. Plan and deliver a sequenced roadmap, aligning with partner teams on architecture, guardrails, and experimentation so launches drive measurable advertiser and Pinner outcomes. Coordinate changes to well-defined components within back-end ads delivery systems (e.g., parts of retrieval, ranking, pacing/budgeting, auction/bidding, quality/diversity guardrails, conversion visibility, forecasting, modeling, or measurement) to meet product requirements
• Partner day-to-day with engineering, ML, data science/analytics, design, and research to deliver high-quality features; collaborate with PMM, sales, and policy/integrity as needed for launches. Work closely with PM peers across Ads Quality (e.g., retrieval, ranking, pacing/budgeting, measurement/incrementality, integrity) and with PMs on front-end presentation/components (e.g., modules, formats, surfaces) to manage dependencies, define APIs/contracts for your area, align on experiment design and guardrails, and coordinate GTM and feedback loops. Facilitate roadmap and requirements reviews, keep shared artifacts (roadmap, PRDs, dependency trackers) up to date, and proactively surface risks, decisions, and changes
• Build features within our ads bidding and optimization solutions that help advertisers clearly express objectives and align budgets to their business needs, while maintaining a safe, delightful Pinner experience. Deliver scoped improvements from discovery through launch and adoption, instrumenting metrics, writing documentation, and incorporating learnings into subsequent iterations. Define success metrics and acceptance criteria up front, track requirement completion and quality signals post-launch, and use insights to update the roadmap and next set of requirements

Requirements:

• The ideal candidate has a passion for delighting our Pinners and strong intuition about what matters most to their experience
• In addition, they must possess a deep understanding of the back-end systems, have worked cross functionally with engineering, data teams, and PMM and understand  the interaction effects of introducing qualitatively different content onto the page, and tradeoff dynamics of the ads marketplace
• 6+ years of experience working as a Product Manager, Engineering Manager, Data Scientist, or related role
• Strong evidence of the ability to review and define new products and strategies with back-end products in an ambiguous space and to execute from ideation, roadmaps, to go-to-market
• Experience working with Engineering, data, or PMM cross functional teams and a strong ability to empathize with, anticipate the needs of, and effectively collaborate with a diverse set of stakeholders
• Deep understanding of business metrics and tradeoffs in the contexts of online marketplaces
• Bachelor's degree in a relevant field such as Computer Science, or equivalent experience
• Experience with Ads Marketplace and/or Ads Formats
• Direct experience with and fundamental understanding of ads delivery systems
• Design, run, or analyze marketplace experiments