<div class="content-intro">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, we’re 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 other’s unique experiences and embrace the <a href="https://www.pinterestcareers.com/our-life/pinflex/">flexibility</a> to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn t just a feature, it s a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll 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 <a href="https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/">here</a>.</div>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: <ul> <li>Own and drive the Signal Lifecycle product roadmap, including ML Flywheel infrastructure, auto-deployment, model onboarding, golden dataset management, and signal performance measurement</li> <li>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</li> <li>Partner with ML Engineering to reduce model iteration time through automated retraining, evaluation, and deployment pipelines</li> <li>Own measurement infrastructure — golden dataset strategy, prevalence measurement, model performance dashboards, and experimentation frameworks</li> <li>Lead cross-functional signal strategy with Content Safety, Enforcement Systems, Data Science, and Operations</li> </ul>   What we re looking for: <ul> <li>5+ years product management experience</li> <li>Experience owning or managing ML platforms, model lifecycle infrastructure, or ML tooling</li> <li>Strong data fluency — comfortable with precision/recall/FPR, evaluation methodology, and model performance measurement</li> <li>SQL proficiency — able to self-serve data investigation and analysis</li> <li>Demonstrated systems thinking — experience with complex interconnected infrastructure serving multiple teams</li> <li>Strong cross-functional leadership — proven ability to drive decisions across ML engineering, data science, and product stakeholders</li> <li>Excellent written and verbal communication of complex ML and infrastructure concepts</li> <li>Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience</li> </ul>   Relocation Statement: <ul> <li>This position is not eligible for relocation assistance. Visit our<a href="https://www.pinterestcareers.com/pinflex/"> PinFlex</a> page to learn more about our working model.</li> </ul> <div class="p-rich_text_

Staff Product Manager, Model Lifecycle & Management

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