Staff Product Manager, Model Lifecycle & Management

What you'll do

• Own and drive the Signal Lifecycle product roadmap, including ML Flywheel infrastructure, auto-deployment, model onboarding, golden dataset management, and signal performance measurement
• Define and ship ML Signal Management — a unified backbone that elevates ML signals into first-class entities with comprehensive metadata, cross-system naming, and API access
• Partner with ML Engineering to reduce model iteration time through automated retraining, evaluation, and deployment pipelines
• Own measurement infrastructure — golden dataset strategy, prevalence measurement, model performance dashboards, and experimentation frameworks
• Lead cross-functional signal strategy with Content Safety, Enforcement Systems, Data Science, and Operations

What we're looking for

• 5+ years product management experience
• Experience owning or managing ML platforms, model lifecycle infrastructure, or ML tooling
• Strong data fluency — comfortable with precision/recall/FPR, evaluation methodology, and model performance measurement
• SQL proficiency — able to self-serve data investigation and analysis
• Demonstrated systems thinking — experience with complex interconnected infrastructure serving multiple teams
• Strong cross-functional leadership — proven ability to drive decisions across ML engineering, data science, and product stakeholders
• Excellent written and verbal communication of complex ML and infrastructure concepts
• Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience

Relocation Statement

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement

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We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.

• 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.

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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.