Drive Strategy and Roadmap: Own the execution of a unified robotics roadmap, ensuring technical and product alignment across internal Engine, Platforms, Cloud, and AI teams.
Engineering & Cross-Functional Leadership: Cultivate strong relationships with Engineering counterparts to lead product areas hand-in-hand. You will drive feature delivery across disparate teams, clearing roadblocks and aligning priorities.
Data-Driven Decision Making: Lead with an analytics-first mindset. You will use data to validate product-market fit, prioritize the backlog, and measure the success of industrial offerings.
Partnership & Ecosystem Exploration: Lead technical discovery with external partners. You will identify synergies and work closely with Business Development to understand and influence how collaborative contracts and partnerships are structured.
End-to-End Delivery: Act as a hands-on lead from ideation to launch. This includes defining detailed requirements that guide engineering teams and navigating the "Design, Build, Train, Operate, and Monitor" robotics lifecycle.
Executive & Customer Influence: Distill complex technical milestones into clear strategic updates for Unity leadership. You will also manage high-level relationships with key industrial partners to ensure their feedback drives our product evolution.

Robotics & Industrial Domain Expertise: Comprehensive understanding of the robotics landscape, including the integration of hardware/software and common industry standards (ROS/ROS2).
Autonomous Execution: A proven track record of working independently to drive complex, multi-disciplinary initiatives to completion in a matrixed environment.
Analytical Mindset: Demonstrated ability to use data and analytics to inform product strategy and drive organizational alignment.
Technical Communication: Exceptional ability to simplify and articulate complex technical concepts, such as simulation, autonomous navigation, or sensor fusion to both engineers and executives.
Commercial Awareness: Experience working alongside Sales or BD teams to support growth and navigate the fundamentals of strategic technology partnerships.
Simulation Software Tooling: Experience with simulation software, Synthetic Data Generation (SDG), or Digital Twins.
AI & Machine Learning Foundations: Familiarity with modern AI training techniques (Reinforcement Learning or Imitation Learning) and their application in robotics.
RT3D Engine Knowledge: Proficiency with Unity is ideal; experience with other 3D engines or simulation environments is needed.
XR & Emerging Tech: Knowledge of how XR and spatial computing integrate into industrial "operate and monitor" phases of the robotics industry.

Principal Product Manager – Robotics, Industry

Key skills