Staff Product Manager, Model Lifecycle & Management

As a Senior Product Manager for Signal Lifecycle within Trust & Safety, you’ll own the product strategy for the ML platform that powers how Pinterest trains, evaluates, deploys, and measures content safety models at scale. You’ll lead the development of ML Signal Management — making ML signals first-class entities with unified metadata and identity across systems. Partnering deeply with ML engineering, data science, content safety, and enforcement systems, you’ll drive a platform whose scope is expanding from T&S into content quality, ads safety, and beyond.

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.