As Product Manager, you will help lead the R&D and development of a humanoid that performs useful work reliably and at a viable cost. You will help turn customer needs into clear product requirements and carry decisions through development, validation, mass production and deployment.
You will work with customers and engineering teams to identify valuable applications, recreate workflows and measure performance under representative conditions. Your analysis will guide priorities, product trade-offs and realistic customer commitments.
Working with the Head of Product and engineering leads, you will shape the roadmap and connect hardware development with software and learned capabilities. The role combines technical judgement, quantitative research and practical follow-through.
Key Responsibilities
Customer and market research. Lead customer discovery and measure task times, operating conditions and costs. Assess market opportunities and customer payback, recommend applications, and agree measurable performance targets and development stages with customers and engineering.
Competitor gap analysis. Compare competing robots and alternative automation through research, teardowns and repeatable benchmarks. Separate published claims from measured results, quantify performance and cost gaps, and translate findings into product priorities.
Roadmap and product requirements. Turn customer needs into a prioritised roadmap and measurable targets for payload, reach, runtime, durability and serviceability. Challenge unnecessary requirements and work with engineering to resolve conflicts between customer value and technical feasibility.
Cost and product trade-offs. Develop subsystem and unit cost targets with engineering, finance and supply chain. Quantify how performance, reliability and service choices affect production cost, margins and customer economics across planned volumes. Turn the analysis into cost and performance improvements with engineering.
Use case replication. Recreate customer workflows with engineering and operations, including representative objects, layouts, equipment and operating conditions. Develop repeatable trials, investigate failures and use the evidence to refine requirements before customer deployment.
Robot capabilities and experience. Define task and skill priorities with AI, software and engineering leads. Set targets for task success rate, cycle time, human assistance, downtime and recovery. Shape appearance, operation and service so people can use the robot confidently.
Development process and documentation. Maintain clear product requirements, acceptance criteria and decision records. Work with systems engineering to link requirements to test evidence and assess changes. Improve documentation and review practices so teams can make timely, informed decisions.
Product lifecycle and new product introduction (NPI). Help lead development from prototype through production and improvements in use. With leadership, engineering, safety, quality and project management, agree measurable product exit criteria for engineering, design and production validation; review evidence at each gate and track gaps through closure.
