Staff Product Manager, Applied AI/ML Platform (Equity)

Pinterest

San Francisco (CA)

Hybrid

USD 165,000 - 339,000

Full time

14 days+
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Benefits offered by this job

Equity

Job summary

Pinterest is seeking Staff Product Managers for its Applied Sciences group to shape the next chapter of the AI/ML platform. You will merge research ambition with product discipline to define the roadmap, abstractions, and strategy for personalized experiences on a leading discovery platform.

You will partner with science, engineering, research, and product teams to translate technical roadmaps into product bets with measurable success, while balancing innovation, adoption, scale, and long-term

Qualifications

  • 7+ years of Product Management experience or equivalent.
  • Experience owning a shared ML or AI platform for internal engineering and product teams.
  • Experience shipping AI/ML products into production on high-traffic consumer surfaces.
  • Strong platform product instincts and ecosystem thinking: balance foundation with surface needs.
  • Technical credibility with ML/AI teams on topics like representation learning & production readiness.
  • Strong cross-functional credibility and ability to build trust with demanding partners.
  • Governance and lifecycle discipline including deprecation, debt, and scaling costs.
  • Strong strategic judgment and executive communication.

Responsibilities

  • Shape the product vision and roadmap across Pinterest's Applied Sciences portfolio.
  • Partner with teams to ensure adoption and avoid silos.
  • Translate roadmaps into product bets with clear success criteria.
  • Define platform value metrics: adoption, quality, time to production, costs.
  • Evaluate modeling tradeoffs and support experimentation at scale across surfaces.

Skills

Product management
AI/ML platforms
Cross-functional collaboration
Executive communication
Strategy & roadmap
Technical credibility in ML/AI

Education

Bachelor's degree in Computer Science or related field

Job description

Pinterest is seeking Staff Product Managers for its Applied Sciences group to shape the next chapter of the AI/ML platform. You will merge research ambition with product discipline to define the roadmap, abstractions, and strategy for personalized experiences on a leading discovery platform.

You will partner with science, engineering, research, and product teams to translate technical roadmaps into product bets with measurable success, while balancing innovation, adoption, scale, and long-term

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