Physicalintelligence

Shift Lead

San Francisco, California, United StatesFull timeLeadPosted 12 days ago
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The Team

The Operations team drives the day-to-day execution of robot data collection and production at our San Francisco facility, partnering closely with research, hardware, and software teams to support our mission of bringing general-purpose AI into the physical world.

In This Role You Will

  • Onsite Floor Operations: Provide daily boots-on-the-ground leadership to drive data collection, verify availability of stations, props, and staffing, and ensure production continues smoothly during disruptions or staffing gaps. Lead and coordinate operators by assigning work and adjusting resources in real-time based on priorities and constraints.
  • Team Leadership & People Development: Supervise, train, and develop operators, ensuring adherence to work standards. Provide ongoing coaching and feedback, treat operators fairly and professionally, and act as a liaison by bringing operator concerns to management’s attention.
  • Data Collection and Quality: Own factory throughput and data quality for your team; identify deviations from standard work, take immediate corrective action, and ensure all defects are properly documented and escalated.
  • Cross-Functional Communication & Reporting: Act as the primary on-site point of contact for your team, maintaining a tight feedback loop between research, hardware, software, and floor operations. Proactively communicate status, technical blockers, hardware failures, and process bottlenecks. Maintain highly accurate shift handoff notes.
  • Safety & Continuous Improvement: Enforce PPE compliance and safe work practices on the floor. Proactively identify, help resolve, and report unsafe conditions.

What We Hope You’ll Bring

  • Hold a bachelor’s degree in a STEM field, Operations, or similar or equivalent practical experience.
  • 3–5 years of experience in tech operations, manufacturing, or related fast-paced physical environments — ideally in robotics, autonomous vehicles, or other frontier hardware-AI integration sectors.

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