Technical Product Manager - Robotics

Nebius

4h•$147,000 - $183,000•Hybrid

About The Position

Nebius is seeking a Senior Product Manager for Physical AI to lead the end-to-end product management lifecycle for their initial Physical AI cloud products. This role involves customer discovery, defining requirements, developing roadmaps, prioritization, launch, and cross-functional execution. The Product Manager will collaborate closely with the Field CTO, focusing on the Physical AI stack (simulation, synthetic data, robot learning, sim-to-real) and engaging with customers in robotics, AV, and industrial automation sectors.

Requirements

Senior PM craft: ability to manage a product area end-to-end, write PRDs, build and defend roadmaps, run prioritization meetings, ship to deadlines, and unblock cross-functional teams without escalation.
Deep technical fluency in the Physical AI stack, including simulation tools (Isaac Sim, MuJoCo, Gazebo, Unreal/Unity), synthetic data generation and domain randomization, RL and imitation learning for robot policies, sim-to-real transfer, sensor simulation (LiDAR, camera, IMU), annotation pipelines, and large-scale dataset management.
Working knowledge of GPU-accelerated training and simulation workloads, including multi-node distributed training, MLOps, and experiment tracking applied to robot learning.
Strong customer instinct to conduct discovery calls and derive accurate requirements.
Ability to read the market and identify strategic playing areas.
5+ years of product management experience, ideally with end-to-end ownership 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.
Proven ability to bring market evidence back to leadership to shape strategy.
Strong written communication skills for strategy memos, PRDs, customer notes, and executive updates.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

Nice To Haves

Advanced degree in Robotics, Computer Science, Mechanical Engineering, AI/ML, or related field.
Hands-on experience with Isaac Sim, Omniverse, MuJoCo, Gazebo, or synthetic-data tools (Replicator, Parallel Domain, Datagen).
Experience within the NVIDIA Physical AI ecosystem (Cosmos, Isaac, Omniverse).
Prior cloud/GPU platform experience.
Background in robotics engineering, controls, or perception.
Track record of building partnerships with hardware or software ecosystem players.
Published work, talks, or visible contributions in Physical AI, robotics, or simulation.
Willingness to travel internationally (US, Europe, APAC) for customer, partner, and event support.

Responsibilities

Drive the Physical AI roadmap.
Translate Physical AI workflows (simulation, synthetic data, robot learning, digital twins, sim-to-real) into requirements for platform and infrastructure teams.
Conduct customer discovery and prototype validation with technical leaders in robotics, AV, industrial automation, and research labs.
Maintain the Physical AI customer-insight base and feed it into roadmap and strategy refreshes with the Field CTO.
Co-shape the Physical AI strategy, including market segmentation and prioritization.
Develop technical collateral, reference architectures, and demos for Sales, Solutions Engineering, and the Field CTO.
Represent Nebius at Physical AI/robotics industry events.
Drive alignment across engineering, Applied AI/SE, marketing, sales, and BD.
Coordinate with adjacent product teams (Serverless, MLOps, Marketplace) to ensure Physical AI requirements are incorporated into their roadmaps.