What You'll Do

• Own the product roadmap for our core Physical AI capabilities, translating research breakthroughs into deployable, customer-facing products.

• Sit at the intersection of research, robotics engineering, and field deployment to turn ambiguous technical tradeoffs into clear product decisions.

• Define what "ready for a customer site" actually means by setting success metrics, reliability thresholds, and scope boundaries for each release.

• Drive cross-functional alignment across distributed teams in research, engineering, and field operations.

What You'll Bring

• Track record of shipping technical products where the primary challenge was managing complex tradeoffs, not filling out roadmap slides.

• Deep enough technical understanding to read a policy evaluation, understand a sim-to-real gap, or participate in complex debug sessions and ask the right questions without needing to write the code yourself.

• Strong bias toward the field over the whiteboard, preferring to evaluate a failed pick on a live customer floor over reading ten synthetic benchmark reports.

• Exceptional written communication skills to write specs and decision logs that hold up when you're not in the room.

• Comfort operating with incomplete information in a fast-moving, pre-paradigm field where answers aren't obvious.

• Bonus: Prior experience in robotics, autonomy, or another domain where "works in the lab" and "works in the world" carry vastly different bars for success.