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Open nowPosted 8 hours ago

Material Planning Manager, Human Data Collect

Figure AI100 open roles

Where
San Jose, CA
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Your applicationOpen nowMaterial Planning Manager, Human Data CollectFigure AI · San Jose, CA

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The clock on this job

Early applications get read.

10.5% of postings close within 7 days. Measured by our own scanner across the market. Figure AI postings stay open a median of 52 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.3%3 days
  3. 10.5%7 days
  4. 15.9%14 days
  5. 34.1%30 days
This job: posted 8 hours ago

Figure AI median: 52 days open

The posting

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

As a Materials Planning Manager, you will own the end-to-end materials planning function that ensures uninterrupted production of Figure’s humanoid systems. You will serve as the critical link between demand planning and physical production, applying MRP principles to drive inventory accuracy, manage shortages, and support aggressive build schedules. This role blends deep analytical work with hands-on execution and cross-functional leadership. You will work closely with Manufacturing, NPI, Global Supply Management, Logistics, and Warehousing to maintain clear-to-build readiness in a fast-moving, hardware-centric environment.

Responsibilities

  • Materials & Demand Planning
  • Own module-level demand planning, translating build plans into executable material requirements.
  • Maintain and govern the master demand file, ensuring accuracy between planned and actual builds.
  • Analyze manufacturing yield rates and consumption trends to refine demand signals.
  • Develop and manage part allocation plans for constrained supply scenarios.
  • Own part change cutovers to ensure clean transitions without production impact.
  • Inventory Management & Optimization
  • Monitor inventory levels, turns, and consumption rates to prevent stockouts and excess inventory.
  • Drive inventory optimization strategies aligned with production ramps and engineering changes.
  • Own the Part Request Approval process, ensuring alignment with demand and inventory strategy.
  • Clear-to-Build (CTB) Ownership
  • Own daily Clear-to-Build (CTB) reporting.
  • Partner closely with Manufacturing to ensure material readiness on the production floor.
  • Proactively identify and resolve material constraints impacting build schedules.
  • Oversee materials management activities including: PO releases, ETA tracking, inventory accuracy and reconciliation.
  • Support tactical purchasing to mitigate shortages and expedite critical components.
  • Cross-Functional Collaboration
  • Partner with Warehousing, Logistics, and Global Supply Management to resolve shipping, receiving, and inventory discrepancies.
  • Support executive-level presentations with clear, data-driven insights.
  • Process Improvement
  • Identify bottlenecks and inefficiencies in the planning cycle.
  • Propose and implement process improvements to improve planning accuracy, service levels, and scalability.

Requirements:

  • Education
  • Bachelor’s degree in Supply Chain Management, Business, Engineering, or a related field.
  • Master’s degree in Engineering or Supply Chain Management preferred.
  • Experience
  • 5–7 years of experience in materials planning, inventory management, or supply chain operations.
  • Experience in high-volume manufacturing or complex hardware environments.
  • Technical Skills
  • Strong proficiency with ERP/MRP systems (SAP or Oracle preferred).
  • Advanced Excel skills (VLOOKUP/XLOOKUP, Pivot Tables, demand modeling).
  • Core Competencies
  • Strong analytical mindset with exceptional attention to detail.
  • Ability to identify trends in part consumption and manufacturing performance.
  • Proven adaptability in fast-paced, rapidly changing environments.
  • Excellent communication skills with the ability to translate complex data into actionable insights for Manufacturing and NPI teams.

The US base salary range for this full-time position is $120,000 to $200,000 per year.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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