About the job
We're hiring a Senior Product Manager for Physical AI to own the PM craft end-to-end — customer discovery, requirements, roadmap, prioritization, launch, cross-functional execution — for the first generation of Physical AI cloud products on Nebius. You'll partner closely with our Field CTO, who leads the vertical strategic direction and external narrative, while you ship the product that puts that strategy into the world.
Responsibilities
Drive the Physical AI roadmap; Translate Physical AI workflows (sim, synthetic data, robot learning, digital twins, sim-to-real) into requirements platform and infra teams build against; Run discovery and prototype validation with technical leaders at robotics, AV, industrial automation, and research labs; Maintain the Physical AI customer-insight base; feed it into the roadmap and the strategy refresh you do with the Field CTO; Co-shape Physical AI strategy: where we play, how we segment, what we prioritize; Build the technical collateral, reference architectures, and demos that Sales, Solutions Engineering, and the Field CTO use in the field; Represent Nebius at Physical AI / robotics venues (GTC, ROSCon, ICRA, CoRL) as the senior product voice alongside the Field CTO; Drive alignment across engineering, Applied AI / SE, marketing, sales, and BD without direct authority; Coordinate with adjacent product teams (Serverless, MLOps, Marketplace) so Physical AI requirements show up in their roadmaps
Qualifications
Minimum
5+ years of product management, ideally with at least one stint owning a product area or major workstream end-to-end at a cloud provider, AI infrastructure company, GPU computing platform, or Physical AI / robotics company; Track record of shipping technical products in fast-moving, ambiguous environments — and of bringing a market evidence base back to leadership that shaped strategy; Strong written communication — strategy memos, PRDs, customer notes, executive updates
Preferred
Advanced degree in Robotics, Computer Science, Mechanical Engineering, AI/ML, or related field; Hands-on time with Isaac Sim, Omniverse, MuJoCo, Gazebo, or synthetic-data tools (Replicator, Parallel Domain, Datagen); Time inside the NVIDIA Physical AI ecosystem (Cosmos, Isaac, Omniverse); Prior cloud / GPU platform experience; Background in robotics engineering, controls, or perception — enough to hold your own with roboticists; Track record of building partnerships with hardware or software ecosystem players; Published work, talks, or visible work in Physical AI, robotics, or simulation; Willingness to travel internationally (US, Europe, APAC) for customer, partner, and event support