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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Technical Program Manager, Data Science - **Company:** Pinterest - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $145,747.0 - $300,067.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Infrastructure, Machine Learning, Query Optimization, Large Language Models, Generative AI, Data Management, Machine Learning Operations, Presto - **Published:** August 20, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/87889571/1 ## About the Role * 5+ years of experience as a technical program manager, ideally driving broad, high-visibility portfolios. * A track record of building order out of ambiguity - leading complex, multi-team initiatives from the ground up. * Strong instincts for, or hunger to quickly learn, experimentation platforms, ML systems, LLM infrastructure, or data platforms. * A sharp sense for prioritization - comfortable making confident calls across competing initiatives with incomplete information. * Exceptional analytical and problem-solving skills, with a bias toward pragmatic, creative solutions. * A track record of earning trust with executive leadership and representing your program's interests at the highest levels. * Excellent written, verbal, and interpersonal communication skills - you know how to bring people along. * A genuine commitment to inclusion, sound judgment under pressure, and courageous, resilient leadership. * B.S degree in a technical field or a equivalent work experience ## Description 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. 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. What you'll do: * 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. * Drive Pinterest's experimentation roadmap - accelerating how confidently and quickly teams can test, learn, and ship new ideas at scale. * Own the program driving cost and compute efficiency across our ML systems, and help scale data science workflows into production-grade tooling. * Lead cost optimization and evaluation for our LLM and GenAI systems - building the measurement backbone that keeps them fast, affordable, and trustworthy. * Own Presto query optimization and support for our analytics agent, keeping the data infrastructure that powers company-wide decisions fast and reliable. * Own measurement of GenAI-driven productivity and evaluation frameworks for coding models - helping quantify the impact of AI on how we build. * Own cost attribution and usage understanding across shared infrastructure, bringing clarity to how the company invests in its platforms. * Own measurement and understanding of Shopping infrastructure, helping the team see clearly where to invest next. * Build repeatable prioritization frameworks that let the team move fast and confidently across a wide, fast-changing portfolio. * Build transparent communication channels that keep leadership and partner teams aligned on status, risk, and impact. * Mentor others and help set the standard for what great measurement program management looks like at Pinterest., * We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. * 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [It's all about the Data](https://www.wearedevelopers.com/videos/425-it-s-all-about-the-data) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [The shadows that follow the AI generative models](https://www.wearedevelopers.com/videos/624-the-shadows-that-follow-the-ai-generative-models) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)