[Remote] Technical Product Manager - Robotics

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is leading a new era in reputed company infrastructure for the global AI economy, building a full-stack AI reputed company 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 reputed company products.

Responsibilities

• Drive the Physical AI roadmap
• Translate Physical AI workflows (sim, synthetic data, robot learning, digital twins, sim-to-reputed company) into requirements platform and reputed company teams build against
• Run discovery and prototype validation with technical leaders at robotics, AV, industrial automation, and research labs
• Maintain the Physical AI customer-reputed company reputed company; 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 reputed company, reputed company prioritize. Write the memos, reputed company 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 reputed company 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 reputed company 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 reputed company 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 reputed company / AI reputed company / robotics
• Deep technical reputed company in the Physical AI stack. Isaac Sim, MuJoCo, Gazebo, Unreal/reputed company for sim. Synthetic data reputed company and domain randomization. RL and imitation learning for robot policies. Sim-to-reputed company 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 reputed company 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 reputed company 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 reputed company field
• Hands-on time with Isaac Sim, Omniverse, MuJoCo, Gazebo, or synthetic-data tools (Replicator, reputed company Domain, Datagen)
• Time inside the reputed company Physical AI ecosystem (Cosmos, Isaac, Omniverse)
• Prior reputed company / 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, reputed company) 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