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Physical Intelligence

Develops AI-driven robotic systems for industry

Business Operations

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

About the Job

Requirements

  • Strong analytical and strategic instincts with a bias toward action.
  • Comfort operating independently in ambiguous environments.
  • Commercial mindset and basic financial fluency, including contracts, pricing, and tradeoffs.
  • Exceptional written and verbal communication.
  • Willingness to work flexibly, paired with strong prioritization instincts and comfort pushing back when work is low-leverage.
  • Respect for research and engineering culture, curiosity, and intellectual humility.

Responsibilities

  • Own and execute cross-functional projects with high ambiguity and real business impact.
  • Drive data, compute, and infrastructure partnerships from sourcing through negotiation and management.
  • Support deployment efforts by sourcing opportunities, structuring contracts, pricing, and establishing operational setup.
  • Assist with and drive internal scaling initiatives such as office expansion, international operations, and company planning.
  • Support investor, board, and external communications, including decks, analyses, and preparation.
  • Act as an execution arm for founders and leaders by translating priorities into outcomes.

Desired Qualifications

  • Background in consulting, venture capital, private equity, or finance.
  • Experience negotiating vendor, data, or infrastructure agreements.
  • Exposure to startups that have scaled quickly or inflected suddenly.
  • International operations or cross-border project experience.

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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