What are the responsibilities and job description for the Product Manager position at Physical Intelligence?
Physical Intelligence is bringing general-purpose AI into the physical world. We are a group of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future.
The team
This role sits on Research Operations. In Operations, Research Operations directs the work, Production Operations owns the people and scaled execution, and the Product Managers owns the systems that make execution scalable. Product Managers partner closely with Strategic Project Leads, prototypers/Research Associates, engineers, and Production Operations leaders to design and improve the operating systems that power Data Operations.
In this role you will
The team
This role sits on Research Operations. In Operations, Research Operations directs the work, Production Operations owns the people and scaled execution, and the Product Managers owns the systems that make execution scalable. Product Managers partner closely with Strategic Project Leads, prototypers/Research Associates, engineers, and Production Operations leaders to design and improve the operating systems that power Data Operations.
In this role you will
- Own the roadmap for one or more Research Operations product areas.
- Define and improve the systems that govern intake, prioritization, resource allocation, execution visibility, quality management, and operational planning to create a world-class researcher experience.
- Partner with engineers to design, build, and launch tools that increase operational efficiency and improve user experience.
- Work closely with Strategic Project Leads to identify recurring execution bottlenecks and convert manual workflows into scalable systems.
- Establish operational metrics, dashboards, and reporting mechanisms that improve decision-making and visibility.
- Drive process standardization where appropriate while preserving flexibility for research work.
- Partner with Production Operations to improve throughput, staffing visibility, training systems, and execution quality.
- Collaborate with researchers to understand workflow pain points and operational needs.
- Translate ambiguous operational challenges into clear product requirements and measurable outcomes.
- Continuously evaluate operational performance and prioritize investments that create the greatest organizational leverage.