Note: The job is a remote job and is open to candidates in USA. Nebius is leading a new era in cloud infrastructure for the global AI economy, building a full-stack AI cloud platform. They are seeking a Senior Product Manager for Physical AI to own the PM craft end-to-end, focusing on customer discovery, requirements, roadmap, and product execution for Physical AI cloud products.
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. Write the memos, segment analyses, and evidence packs that ground it
- Bring your own POV; align with the Field CTO as the final external voice
- 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
Skills
- Senior PM craft. You can run a product area as a senior IC: write a crisp PRD, build and defend a roadmap, run a clean prioritization meeting, ship to a deadline, and unblock a cross-functional team without escalating. You've done this before, ideally in cloud / AI infra / robotics
- Deep technical fluency in the Physical AI stack. Isaac Sim, MuJoCo, Gazebo, Unreal/Unity for sim. Synthetic data generation and domain randomization. RL and imitation learning for robot policies. Sim-to-real transfer. Sensor simulation (LiDAR, camera, IMU), annotation pipelines, dataset management at scale
- Working knowledge of GPU-accelerated training and simulation workloads — multi-node distributed training, MLOps, experiment tracking applied to robot learning
- Strong customer instinct. You can run a discovery call with a robotics CTO and walk out with the right requirements, not the requirements they asked for. You can read a market and tell us where we should be playing
- 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
- 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
Benefits
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
Company Overview