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About the Role

This role sits within Research Operations, focusing on designing and improving the operating systems that power Data Operations. You will partner with cross-functional teams to build scalable systems that enhance researcher experience and operational efficiency.

Responsibilities

• Own the roadmap for one or more Research Operations product areas.
• Define and improve systems for intake, prioritization, resource allocation, execution visibility, quality management, and operational planning.
• Partner with engineers to design, build, and launch tools to increase operational efficiency.
• Identify recurring execution bottlenecks and convert manual workflows into scalable systems.
• Establish operational metrics, dashboards, and reporting mechanisms.
• Drive process standardization while maintaining research flexibility.
• 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.
• Evaluate operational performance and prioritize high-leverage investments.

About the Company

• Physical Intelligence is bringing general-purpose AI into the physical world.
• The company develops foundation models and learning algorithms to power robots and physically-actuated devices.

Equal Opportunity

• Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.