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Staff Product Manager, Applied Science

Leads product strategy and roadmap for Pinterest’s shared Applied Sciences platforms, spanning representation learning, signals, and recommender systems. The role requires 7+ years of product management experience, production AI/ML expertise, strong platform judgment, and technical credibility with science and engineering teams.

About the job

Responsibilities

  • Shape the product vision and roadmap for Pinterest’s Applied Sciences portfolio, including representation learning, signals, and recommender systems.
  • Partner across Pinterest to drive adoption of shared capabilities and prevent siloed development.
  • Translate science and engineering roadmaps into product bets with clear success criteria.
  • Define platform value metrics, including adoption, quality, time to production, and infrastructure cost.
  • Evaluate modeling tradeoffs, support experimentation, and ensure innovation scales sustainably across major surfaces.

Requirements

  • 7+ years of Product Management experience or equivalent.
  • Experience owning a shared ML or AI platform, such as feature stores, embedding platforms, representation learning infrastructure, or recommender systems, serving internal engineering and product teams.
  • Success shipping AI/ML products into production on high-traffic consumer surfaces, with involvement in retrieval, ranking, recommendation systems, or related areas.
  • Strong platform product judgment and ecosystem thinking across producers, consumers, and peer programs.
  • Technical credibility with ML/AI teams, including representation learning, experiment design, model architecture tradeoffs, production readiness, and infrastructure tradeoffs.
  • Cross-functional collaboration and alignment in technically demanding, ambiguous environments.
  • Governance and lifecycle experience, including deprecation, technical debt, signal or infrastructure cost tradeoffs, and scaling capabilities over time.
  • Strategic judgment and executive communication skills.
  • Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience.

Compensation and Benefits

  • Base salary range: $164,695–$339,078 USD.
  • Eligible for equity.
  • Benefits information is available through Pinterest.
  • US-based applicants only.
  • Requires in-office collaboration 1–2 times per quarter and can be situated anywhere in the country.
  • Not eligible for relocation assistance.

Skills

Product Management, Machine Learning, Artificial Intelligence, Feature Stores, Embedding Platforms, Representation Learning, Recommender Systems, Retrieval Systems, Ranking Systems, Experiment Design, Model Architecture, Infrastructure, Product Roadmapping, Technical Debt, Executive Communication

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