Director of Product Strategy, Physical AI

Responsibilities

• Own the robotics AI roadmap and data strategy, including collection priorities, hardware and robot embodiments, and internal versus marketplace sourcing.
• Set product direction for robotics training environments and data products, coordinating execution across engineering, operations, and go-to-market teams.
• Partner with frontier physical AI research teams to identify robot-policy gaps, shape product lines, and develop competitive strategy.
• Build relationships with robotics startups and industry leaders; launch joint benchmarks and strengthen the company’s physical AI presence.
• Design and scale robotics data products, including teleoperated demonstrations, real-world collection pipelines, annotation tooling, simulated tasks, and evaluation frameworks.
• Support robot-based collection involving humanoids and robotic arms, as well as robot-less collection using wearable cameras for human demonstrations.
• Translate research requirements into training products meeting quality, throughput, and cost targets.
• Collaborate with research, operations, engineering, and customers; travel approximately 10–15% for customer meetings, conferences, and operations visits.

Requirements

• 4+ years of direct experience in robotics or physical AI, such as robot learning or manipulation research, teleoperation and data collection systems, robotics software or hardware engineering, or robotics product work.
• Strong familiarity with robot policies, vision-language-action models, and language-conditioned imitation learning.
• Product ownership, roadmap development, or customer-facing experience with technical stakeholders; formal product management experience is helpful but not required.
• Understanding of machine-learning training and evaluation, including what makes datasets and environments useful for training.
• Operational rigor and comfort evaluating quality, throughput, and unit economics across hardware, labor, and annotation costs.
• Bachelor's degree in robotics or a related quantitative field such as computer science, mechanical engineering, or electrical engineering.
• Ability to work effectively in ambiguous, fast-moving environments and create products from the ground up.

Nice to Have

• PhD in robotics or a related quantitative field.
• Master's degree with 3+ years of equivalent professional experience in an applied research setting.
• Software engineering background.
• Entrepreneurial and go-to-market mindset.

Compensation

• Base salary: $240,000–$300,000 USD.
• Eligible roles may include equity, comprehensive health, dental and vision coverage, retirement benefits, learning and development stipend, generous paid time off, and potentially a commuter stipend.