Staff Product Manager, Model Lifecycle & Management

About Pinterest:

Millions of people around the world come to our platform to find creative ideas dream about new possibilities and plan for memories that will last a lifetime. At Pinterest were on a mission to bring everyone the inspiration to create a life they love and that starts with the people behind the product.

Discover a career where you ignite innovation for millions transform passion into growth opportunities celebrate each others unique experiences and embrace theflexibility to do your best work. Creating a career you love Its Possible.

At Pinterest AI isnt just a feature its a powerful partner that augments our creativity and amplifies our impact and were looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities well explore your foundational skills and how you collaborate with AI.

Through our interview process what matters most is that you can always explain your approach showing us not just what you know but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

As a Senior Product Manager for Signal Lifecycle within Trust & Safety youll own the product strategy for the ML platform that powers how Pinterest trains evaluates deploys and measures content safety models at scale. Youll 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 youll drive a platform whose scope is expanding from T&S into content quality ads safety and beyond.

What youll 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 were 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
• Bachelors 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.