Technical Product Manager - Robotics

• You've talked to 20+ Physical AI companies and research labs and built the customer-evidence base that you and the Field CTO use to refine the Physical AI strategy.
• You've shipped the first Physical AI-specific solution packages alongside engineering — running real customer workloads, with measurable usage.
• You've stood up the Physical AI product cadence — planning, prioritization, customer review — and it's running.
• You've translated complex Physical AI workflows (simulation → training → eval → deploy) into a prioritized backlog and concrete requirements the platform and infrastructure teams are executing against.
• You're the senior product partner the Field CTO works with on strategy refinement, technical collateral, reference architectures, and demo material — co-authoring the docs, jointly carrying the customer narrative.
• 2–3 strategic partnership / co-development opportunities have been identified, qualified, and handed off to the Field CTO and BD for closing.

• 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.

• 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.

About Nebius

Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. 

Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).  

Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. 

Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. 

If you’re up to the challenge and are excited about AI and ML as much as we are, join us!