Physical Intelligence

Physical Intelligence

Recruiting Coordinator

San Francisco

Sponsorship not specifiedDetected 50 days ago
AlgorithmsMachine LearningLogisticsRecruitingResearchCommunication

About the role

  • The Team The People team at Pi exists to recruit the world's best talent and provide them the tools and context to do their life's best work, removing all barriers, physical or digital, save the immense complexity of the problem at hand.
  • What We Hope You'll Bring - 1-4 years in recruiting coordination, executive assistance, or high-volume scheduling at a fast-moving company.
  • You understand confidentiality is non-negotiable.

Responsibilities

  • maintain pipeline hygiene, ensure stages/dispositions are accurate, build and maintain reporting dashboards, and generate weekly pipeline updates.
  • design scheduling templates, interviewer calibration materials, candidate communication sequences, and feedback collection processes.
  • Document everything so it scales beyond you.
  • prep hiring managers for interviews (scorecards, role context), collect and consolidate debrief feedback, and help maintain interviewer training materials.
  • You will design the coordination workflows, templates, and reporting cadences that become Pi's recruiting operating system.

Requirements

  • Experience with Ashby specifically reporting, workflows, and automated scheduling.

Nice to have

  • 1-4 years in recruiting coordination, executive assistance, or high-volume scheduling at a fast-moving company.
  • Startup or high-growth experience strongly preferred.
  • fluent in ATS workflows (Ashby preferred), calendar tools, and automation.
  • You see a broken process, you fix it.
  • No permission required.

Skills

  • Physical Intelligence is bringing general-purpose AI into the physical world.

Compensation

  • High EQ and discretion: you handle sensitive candidate and compensation information with maturity.

Company info

  • 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.
  • The Team
  • The People team at Pi exists to recruit the world's best talent and provide them the tools and context to do their life's best work, removing all barriers, physical or digital, save the immense complexity of the problem at hand.
  • This role is 100% in person.
  • 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:
  • Own all interview scheduling across Pi's open roles: coordinate multi-panel onsites, phone screens, and founder rounds across complex calendars with fast turnaround and zero drops.
  • Run Ashby as the system of record: maintain pipeline hygiene, ensure stages/dispositions are accurate, build and maintain reporting dashboards, and generate weekly pipeline updates.
  • Own candidate experience end-to-end: be the primary point of contact for candidates from first scheduling touchpoint through offer close. Ensure communication is fast, warm, and consistent at every stage.
  • Build and improve recruiting workflows: design scheduling templates, interviewer calibration materials, candidate communication sequences, and feedback collection processes. Document everything so it scales beyond you.
  • Support hiring manager enablement: prep hiring managers for interviews (scorecards, role context), collect and consolidate debrief feedback, and help maintain interviewer training materials.
  • Partner on recruiting events and employer brand logistics: coordinate on-site visits, support recruiting events, and help maintain job postings (ensuring CA pay transparency compliance on all postings).
  • What We Hope You'll Bring
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This listing is sourced directly from Physical Intelligence's careers page and normalized into a canonical job model.