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Physical Intelligence

Develops AI-driven robotic systems for industry

General Manager - Research Operations

Business & StrategyConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • At least 7 years of experience leading large, high-output operations teams, ideally involving physical or hands-on work.
  • Experience managing and developing managers and team leads.
  • A track record of improving quality, productivity, and retention at scale.
  • Strong judgment around staffing, prioritization, and performance.
  • Experience building teams where strong people stay and grow.
  • Comfort working in a fast-changing, technical environment.

Responsibilities

  • Lead and develop a large operations team and its managers.
  • Own staffing, performance, retention, and day-to-day operations.
  • Ensure people and resources are focused on the highest-priority work.
  • Build training and development programs that improve performance and prepare people for more complex research and deployment work.
  • Use data to identify problems and improve quality, productivity, and how the team operates.
  • Work closely with researchers and engineers to adapt the operation as their needs change.

Desired Qualifications

  • Experience in robotics, hardware, manufacturing, logistics, or other complex physical operations.
  • Experience supporting research or engineering teams.
  • Experience building training and career development programs.
  • Experience with data collection, evaluation, or deployment operations.

About the Company

Physical Intelligence

Develops AI-driven robotic systems for industry

Physical Intelligence develops AI-powered robotic systems by creating general-purpose AI models and learning algorithms to control physically actuated devices in the real world, serving industries like manufacturing, healthcare, and logistics. Its approach uses foundational models and learning-based control software that runs on robots to sense, decide, and act in real environments, often integrated with hardware and partner networks. The company differentiates itself by focusing on foundational AI methods for physical robotics and partnering with high-profile investors to support both R&D and commercialization across multiple industries. Its goal is to bring AI-driven robotic systems into real-world operations to boost efficiency and productivity through scalable, learnable robotics.

Company size
201-500
Company stage
Late Stage VC
Total funding
$2.1B
Headquarters
San Francisco, CA
Founded
2024

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