
Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications.
At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity.
About the Role
Humanoid is seeking a motivated Product Manager (PM) professional or an individual eager to transition into Product Management from a technical, operational, or analytical background. This is a development-focused role offering mentorship, exposure, and increasing ownership over the product lifecycle for AI-powered humanoid robotics.
You will work cross-functionally with Engineering, Operations and Commercial teams to learn and execute on core product responsibilities:
Strategy & Planning: Assist with the product roadmap, conduct industry research (robotics, AI), and support business case analysis.
Requirements: Gather and communicate requirements by working closely with customers, engineering, and operations teams.
Execution: Coordinate between product, engineering, and operations; prioritise, track milestones; and participate in product reviews, testing, PoCs and pilot deployments
Launch & Iteration: Support launch preparation, training materials, and gather post-launch feedback for improvement cycles.
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Humanoid is a London-based robotics company creating commercially scalable humanoid robots for industrial automation. Founded by serial entrepreneur Artem Sokolov, the company has built the HMND 01 platform featuring 29 active degrees of freedom and AI-driven end-to-end reasoning. Its robots target warehouses, logistics hubs, and retail facilities through a robotics-as-a-service (RaaS) model. The company conducted a landmark trial at the Siemens Electronics Factory in Erlangen achieving 60 tote moves per hour with over 90% autonomous success rate. The team of 200+ includes alumni from Apple, Tesla, and Boston Dynamics. Preparing for a Series A round.