Technical Product Manager - Robotics

Навыки

• Работа с бэклогом
• Google Tag Manager
• Лидерство
• Machine Learning
• MLOps
• Роадмап
• Unity

О компании и продукте

• Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
• Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
• Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
• 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.

Задачи

• Product execution (yours to lead)
• 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
• Customer discovery
• 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
• Strategy partnership
• 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
• GTM enablement
• 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
• Cross-functional leadership
• 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

Требования

• 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
• What your background probably looks like
• 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 (nice to have, not required)
• 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

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