Hiring: Staff Product Manager, Physical AI Data & Robotics Company: Scale AI Location: San Francisco Bay Area Job Posted Time: 2026-09-13 10:22:27 Employment Type: Full-time Target Skills & Keywords : Foundry About the job Experience: •8 years of PM experience and 3 years of experience in robotics or physical AI in one or more of: robot learning or manipulation research, teleoperation and data collection systems, robotics software or hardware engineering, or a robotics product role, with real depth in how the work gets done. •3+ years of equivalent professional experience in an applied research setting. Required Skills: •Collaborate cross-functionally — influence business priorities and dive into the weeds of research, operations, and customer interactions to deliver mission-critical outcomes. Travel :10–15% to meet customers, attend conferences, and visit our global data operations. •8 years of PM experience and 3 years of experience in robotics or physical AI in one or more of: robot learning or manipulation research, teleoperation and data collection systems, robotics software or hardware engineering, or a robotics product role, with real depth in how the work gets done. •Physical AI Fluency: Immersed in current physical AI research — robot policies, vision-language-action models, language-conditioned imitation learning — and able to articulate how the field is moving, not just how classical robotics works. •A builder's mindset: excited by ambiguity and motivated to create new products from the ground up. •Product or customer-facing experience: A track record of owning outcomes, shaping roadmaps, or working closely with technical stakeholders (formal PM experience is a plus but not required if domain depth is strong). •ML Intuition & Technical Fluency: Enough intuition around how model training and evaluation works, and what makes a dataset or environment actually useful for training. A software background is a plus. •Operational rigor: Comfort going deep with Ops on quality and throughput, and reasoning about unit economics across hardware, labor, and annotation cost. •Bias for action: Comfort wearing multiple hats and operating in fast-moving environments. Qualifications: •Ph.D. in Robotics or a related quantitative field, OR a Master's degree with 3+ years of equivalent professional experience in an applied research setting. •Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. •Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. •We comply with the United States Department of Labor's Compensation: •$240,000 - $300,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!