Product Manager
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At a glance
Job overview
Physical Intelligence is hiring a Product Manager. The Product Manager develops systems and tools that support data, research, and deployment work, partnering across the company to understand pain points, set priorities, and build solutions that simplify complex operational planning and execution.
Key focus areas include Own the roadmap for one or more Research Operations product areas, Define and improve systems governing intake, prioritization, resource allocation, execution visibility, quality management, and operational planning, and Partner with engineers to design, build, and launch tools that increase operational efficiency and improve user experience.
Important skills include Product Management, Systems Design, User Experience, Data Analysis, Collaboration, and Resource Allocation.
Skills & qualifications
Skills
Full job description
The Product Manager develops the systems and tools that support our data, research, and deployment work. They partner with teams across the company to understand pain points, set priorities, and build solutions that make complex work easier to plan, carry out, and improve.
Who we are
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.
In this role you will
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Own the roadmap for one or more Research Operations product areas.
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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.
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Partner with engineers to design, build, and launch tools that increase operational efficiency and improve user experience.
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Work closely with Strategic Project Leads to identify recurring execution bottlenecks and convert manual workflows into scalable systems.
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Establish operational metrics, dashboards, and reporting mechanisms that improve decision-making and visibility.
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Drive process standardization where appropriate while preserving flexibility for research work.
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Partner with Production Operations to improve throughput, staffing visibility, training systems, and execution quality.
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Collaborate with researchers to understand workflow pain points and operational needs.
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Translate ambiguous operational challenges into clear product requirements and measurable outcomes.
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Continuously evaluate operational performance and prioritize investments that create the greatest organizational leverage.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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