Hardware Operations Program Manager- Robotics

Meta Meta · Big Tech · Redmond, WA

Meta's Reality Labs is seeking an experienced Hardware Operations Program Manager for its Robotics Operations Team. This role involves managing early-stage robotics hardware programs end-to-end, including prototype sourcing, logistics, budget tracking, and cross-functional coordination with engineering, software, legal, finance, operations, procurement, and facilities. The candidate will drive execution, identify and mitigate risks, and communicate program status. Experience integrating AI tools for workflow optimization and adhering to ethical AI practices is required.

What you'd actually do

  1. Drive end-to-end execution for early-stage robotics hardware programs, ensuring program plans, dependencies, and deliverables are defined, tracked, and met
  2. Manage prototype sourcing and logistics for early-stage program needs, including Hardware Purchase Orders (POs), Requests for Proposals (RFPs), vendor quotes, and invoice approvals
  3. Lead cross-functional evaluation of major hardware CapEx and OpEx decisions, including business cases on manufacturing scope and insource vs. outsource tradeoffs
  4. Facilitate logistics and tracking for prototype part movement across internal, supplier, and external sites, including shipment coordination and delivery verification
  5. Manage distribution of prototype hardware by tracking prototype and parts inventory, coordinating demo experiences, and maintaining prototype documentation and readiness status

Skills

Required

  • technical program management
  • project management
  • operations management
  • communicating technical information to non-experts
  • operating independently
  • detail-oriented
  • highly organized
  • interpersonal skills
  • relationship building
  • collaboration within broad cross-functional teams
  • operating autonomously across multiple teams
  • managing complex dependencies
  • resolving conflicts
  • driving decisions across stakeholders
  • navigating ambiguous problem spaces
  • evolving responsibilities in fast-moving environments
  • integrate AI tools to optimize/redesign workflows
  • drive measurable impact
  • adhering to and implementing responsible, ethical AI practices
  • ongoing AI skill development
  • prompt/context engineering
  • agent orchestration

Nice to have

  • MBA degree
  • PMP (or equivalent)
  • supporting teams developing hardware and software solutions
  • managing projects with distributed and/or global teams

What the JD emphasized

  • AI tools to optimize/redesign workflows
  • responsible, ethical AI practices
  • ongoing AI skill development