Palo Alto · On-site · Full-time
<div class="content-intro"><p><strong>About Pinterest:</strong></p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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>.</p></div><p>The Platforms TPM organization partners with Experimentation, ML, LLM/GenAI, and Data Infrastructure teams to shape how Pinterest measures everything that matters — from product experiments to AI systems to the platforms everyone builds on.</p> <p><strong>What you'll do:</strong></p> <ul> <li>As a Staff Technical Program Manager for Measurement, you'll have the rare opportunity to shape how a company the size of Pinterest measures itself — turning a portfolio spanning experimentation, machine learning, generative AI, and data infrastructure into one coherent, high-impact program.</li> <li>Drive Pinterest's experimentation roadmap — accelerating how confidently and quickly teams can test, learn, and ship new ideas at scale.</li> <li>Own the program driving cost and compute efficiency across our ML systems, and help scale data science workflows into production-grade tooling.</li> <li>Lead cost optimization and evaluation for our LLM and GenAI systems — building the measurement backbone that keeps them fast, affordable, and trustworthy.</li> <li>Own Presto query optimization and support for our analytics agent, keeping the data infrastructure that powers company-wide decisions fast and reliable.</li> <li>Own measurement of GenAI-driven productivity and evaluation frameworks for coding models — helping quantify the impact of AI on how we bu
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