Supply Chain Lead

Posted 5 Days Ago
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San Francisco, CA, USA
In-Office
Senior level
Artificial Intelligence • Machine Learning • Robotics
The Role
Lead sourcing and supplier execution for the full robot BOM, build resilient global supply base, drive cost and should-cost improvements, manage CM transitions and NPI ramps, and ensure material continuity using MRP/ERP systems while partnering with engineering and executive leadership on supply risk and capacity planning.
Summary Generated by Built In

Physical Intelligence is bringing general-purpose AI into the physical world. We are a team 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 the supply chain and procurement strategy for PI's robot platforms as we scale from prototype to production. You'll build and expand a resilient global supply chain across electromechanical systems including actuators, motors, gearboxes, sensors, compute modules, PCBAs, harnessing, and structural/mechanical assemblies while partnering closely with engineering and manufacturing.

Sitting at the interface between our engineering teams and the industries that supply core technologies, you'll own sourcing strategy and supplier execution across the full robot BOM, lead the transition from in-house builds toward contract manufacturing, negotiate commercial agreements against aggressive cost and quality targets, and establish the sourcing processes, metrics, and supplier performance frameworks for a rapidly scaling robotics organization’s needs.

In this role you will

  • Own sourcing strategy and supplier execution across the full robot BOM: actuators, motors, gearboxes, sensors, compute modules, PCBAs, harnessing, and mechanical / structural assemblies.

  • Establish sourcing processes, supplier selection, capacity planning, dual-sourcing, and risk mitigation. Metrics, and supplier performance management frameworks appropriate for a rapidly scaling robotics organization.

  • Partner closely with mechanical, electrical, firmware, and compute engineering teams to drive design for manufacturability, supply chain resilience, and cost optimization.

  • Ensure material continuity across in-house and outsourced manufacturing. This includes determining order quantities and driving inventory accuracy with manufacturing and production teams.

  • Develop multi-source strategies for critical and allocation-sensitive components (including high-performance compute) and proactively mitigate geopolitical and single-source risks.

  • Negotiate pricing, lead times, allocation, and commercial agreements to meet aggressive cost, quality, and production targets.

  • Lead the transition from prototype and in-house manufacturing toward contract manufacturing, including CM selection, qualification, onboarding, and operational scaling.

  • Support NPI and production ramp activities with suppliers and manufacturing partners across Asia Pacific and other global regions.

What we hope you'll bring

  • Bachelor's degree in Engineering, Supply Chain, Business, Operations, or a related field (it is okay if you have an MBA)

  • 5+ years of experience in strategic sourcing, procurement, or supply chain management for hardware products.

  • Proven track record taking hardware products from prototype through production ramp at scale and either developing a new supply chain or moving it to a new geography.

  • Direct experience sourcing electromechanical components, PCBAs, and high-performance compute systems, as well as motors, actuators, gearboxes, sensors, and mechanical assemblies.

  • Demonstrated success negotiating pricing, lead times, allocation, and commercial agreements to meet aggressive cost, quality, and production targets.

  • Strong quantitative and analytical skills: should-cost and BOM cost modeling, spend analysis, supplier financial research, and cost / capacity scenario analysis and benchmarking.

  • Strong understanding of MRP/ERP systems, inventory planning, and material continuity across in-house and outsourced manufacturing. Familiarity with NPI, DFM/DFA, and manufacturing scale-up workflows.

  • Experience sourcing constrained or allocation-sensitive components (compute, motors, etc)

  • Superb communication and cross-functional relationship-building; ability to influence and drive projects without direct authority.

  • Comfortable operating in a fast-moving, high-ownership environment, with willingness to travel internationally (primarily Asia Pacific).

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Skills Required

  • Ownership of sourcing strategy and supplier execution across robot BOM (actuators, motors, gearboxes, sensors, compute modules, PCBAs, harnessing, assemblies).
  • Experience building and managing a global supplier base, including dual-sourcing and capacity planning.
  • Establishing sourcing processes, metrics, and supplier performance management frameworks for scaling hardware production.
  • BOM cost ownership and driving cost reductions through negotiation, should-cost analysis, and value engineering.
  • Experience partnering with mechanical, electrical, firmware, and compute engineering on design for manufacturability and supply resilience.
  • Familiarity with MRP/ERP systems to manage order quantities, inventory accuracy, and forecast efficiency.
  • Developing multi-source strategies for critical/allocated components and mitigating geopolitical and single-source risks.
  • Contract manufacturer selection, qualification, onboarding, and production scaling experience.
  • Experience supporting NPI and production ramp activities with suppliers and manufacturing partners, including APAC regions.
  • Supplier financial research, spend analysis, and capacity/cost scenario analysis; ability to synthesize and present risks to leadership.
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The Company
191 Employees
Year Founded: 2024

What We Do

Physical Intelligence is bringing general-purpose AI into the physical world, developing foundation models and learning algorithms to power robots and other physically-actuated devices.

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