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Figure

Builds humanoid robots for homes and workplaces

NPI Buyer/Planner

Production Planning & Scheduling +1Confirmed live in the last 24 hours
Full-timeSan Jose, CA, USA$120k - $180k /yrIn-person

About the Job

Requirements

  • A bachelor's degree in Supply Chain Management, Business, Engineering, or a related field, or applicable industry experience for the role.
  • Three to five years of experience in buying, planning, or materials management, including at least two years supporting NPI or prototype builds.
  • A background in complex electromechanical hardware such as robotics, aerospace, medical devices, automotive, or consumer electronics.
  • Direct experience buying against immature bills of materials and managing engineering changes in a live build.
  • Proficiency with ERP/MRP systems such as SAP, Oracle, or NetSuite, and PLM tools such as Arena or Enovia.
  • Advanced Excel skills, including XLOOKUP, pivot tables, and shortage and coverage modeling.
  • Ability to read bills of materials and discuss tolerances, finishes, and component specifications with engineers.
  • Ability to close loops with strong follow-through and operate with incomplete information and changing priorities.
  • Ability to communicate clearly with engineers and suppliers and translate a slipped ETA into actionable schedule impact for leadership.
  • Strong attention to detail on revisions, dates, and quantities.

Responsibilities

  • Convert engineering build plans and prototype schedules into time-phased material requirements for EVT/DVT/PVT and pilot builds.
  • Plan against incomplete and rapidly changing bills of materials, running BOM scrubs with Engineering to resolve part numbers, revisions, quantities, and reference designators before shortages occur.
  • Identify long-lead and single-source parts early and drive risk-buy or bridge-buy decisions with Global Supply Managers.
  • Build and maintain the NPI shortage list and publish clear-to-build status and recovery dates for each build event.
  • Plan build-specific overages using historical program data, including attrition, engineering consumption, test consumption, and reliability samples.
  • Own the RFQ-to-PO cycle for prototype and pilot material by requesting quotes, placing purchase orders, confirming acknowledgments, and tracking ETAs to dock.
  • Expedite or de-expedite orders as schedules move and escalate supplier commitment risks with clear impact statements.
  • Manage buys against unreleased or non-standard parts, including drop-in samples, distributor spot buys, and authorized broker sourcing.
  • Reconcile pricing, minimum order quantities, non-recurring engineering charges, and tooling charges, and flag cost drivers before production quoting.
  • Own material disposition for NPI program engineering change orders and deviations, including scrap, rework, use-as-is, or run-out decisions.
  • Maintain accurate item masters for bills of materials, clear-to-build/planning trackers, lead times, and costs in defined tools, supporting transition into ERP as parts mature from prototype to production status.
  • Partner with Global Supply Managers on consignment materials required for each build.
  • Maintain inventory accuracy for NPI stock at quick-turn suppliers, including reconciliation of company-consigned material.
  • Hand off part-level history, supplier commitments, lead times, and planning parameters to the production planning team at ramp.
  • Feed EAU forecasts and demand signals to Global Supply Management to support supplier capacity and long-term agreements.
  • Identify recurring failure points in the NPI material flow and implement improvements to reporting, planning, and cross-functional handoffs.
  • Improve build-readiness reporting fidelity so risks are mitigated early.

Desired Qualifications

  • SQL or business intelligence tooling is a plus.

About the Company

Figure

Builds humanoid robots for homes and workplaces

Figure builds general-purpose humanoid robots for physical work in homes and commercial facilities, using a human shape to operate in spaces designed for people. Its Helix AI system combines visual perception, language understanding, and movement control so robots respond to instructions and adapt to their surroundings. The electric robots use arms, hands, and legs to handle household chores or move and sort goods at industrial sites. Its commercial business works through customer deployment agreements that focus on physical tasks in factories and distribution facilities. Figure was founded in 2022 and is headquartered in San Jose, California.

Company size
201-500
Company stage
Series C
Total funding
$1.9B
Headquarters
San Jose, CA
Founded
2022

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