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.
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.
Skills Required
- Track record of shipping technical products where primary challenge was managing complex tradeoffs
- Deep technical understanding to interpret policy evaluations, sim-to-real gaps, and participate in complex debug sessions without coding
- Strong bias toward field evaluation over synthetic benchmarks
- Exceptional written communication skills for specs and decision logs
- Comfort operating with incomplete information in a fast-moving, pre-paradigm field
- Prior experience in robotics, autonomy, or similar (works in lab vs works in world)
What We Do
Genesis AI is a global full-stack robotics company developing general-purpose robots with human-level intelligence and capabilities. It aims to build foundational AI models that automate repetitive tasks across applications such as lab work and housekeeping. The company uses a proprietary physics engine to generate synthetic physical-world data, helping train robotics models for diverse real-world environments, and operates across Paris and Silicon Valley.
