Staff Product Manager, Physical AI Data & Robotics

<p>Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world's most important decisions.</p> <p>The next frontier for AI is the physical world. We're looking for an <strong>AI Product Manager</strong> to own the <strong>Robotics</strong> vertical within our Physical AI team. In this role, you'll own both the development of the <strong>data and training environments</strong> (the teleoperated demonstrations, real-world collections, simulated tasks, and annotation products that labs use to train and evaluate robot policies) and the <strong><em>"data as a product"</em></strong> <strong>strategy</strong> that powers them. You'll understand where physical AI is headed, decide what robot tasks and embodiments are worth collecting, how to source and structure the underlying data, and how to turn deep domain knowledge into a defensible product.</p> <p>The ideal candidate has lived inside robotics or physical AI research, and is able to pair that domain understanding with a sense for where current robot policies succeed and fail in real-world workflows.</p> <p>You'll translate that expertise into datasets, environments, and evaluation frameworks that teach robots to do real physical work, and you'll be the domain expert Scale's most important customers and their leading researchers turn to. A strong entrepreneurial &amp; go-to-market mindset will be necessary.</p> <h3><strong>What You'll Do</strong></h3> <ul> <li><strong>Own the Robotics AI roadmap &amp; data strategy:</strong> Set product direction for the robotics training stack and the data strategy behind it — what data we collect, on which hardware and embodiments, and what we source internally vs. through our marketplace. Establish a vision for where physical AI is heading, driving execution across engineering, operations,