Technical Product Manager - Robotics

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 product management process for Physical AI cloud products, collaborating closely with the Field CTO and engaging with robotics and industrial automation customers.

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

Requirements:

• 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