Supply Chain Manager, Robotics Hardware
Quick Summary
Determine order quantities and negotiate RFQ/RFP pricing, weigh over-ordering vs. under-ordering risk, and align sourcing timelines with S&OP/demand forecasts and production schedules
The Supply Chain Manager will be responsible for ensuring uninterrupted supply continuity across both in-house and outsourced manufacturing operations. This role will drive material planning, supplier performance, production readiness, inventory optimization, and cost management to ensure payloads and systems are built on schedule and meet all downstream demand requirements.
The ideal candidate combines strong operational execution with strategic supplier management, excels in fast-paced environments, and has experience supporting complex electromechanical products from prototype through production scale.
Requirements
~4 min read-
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Chain of Custody: Own chain-of-custody tracking for components, prototypes, and payloads. Recording ownership and location through receiving, integration, and handoff to customers.
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Asset Tracking Systems: Implement barcoding and tracking systems for high-value assets and maintain change-tracking systems for Hardware team inventory.
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Purchase & Cost Records: Build and maintain systems tracking purchase history (quantities, costs, and rates paid over time) supporting spend analysis, budgets, and procurement KPIs.
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Education: B.S., M.S., or equivalent experience in Supply Chain Management, Industrial Engineering, Business, Mechanical Engineering, Electrical Engineering, or a related field.
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Experience Level: Minimum of 3+ years of hands-on experience in procurement or supply chain management.
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Procurement & Supply Chain Experience: Experience in hardware procurement and supply chain management, including strategic sourcing, vendor/supplier selection, and make-vs-buy decisions.
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Logistics & Forecasting: Strong understanding of MRP/ERP systems, inventory planning, and demand forecasting.
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Vendor Negotiation: Experience negotiating with vendors, fabrication houses (PCB, CNC), and contract manufacturers, including contract terms, SLAs, and pricing agreements.
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Asset & Inventory Systems: Strong organizational systems experience such as asset tracking, inventory management, or equipment/asset management at scale, including barcoding and chain-of-custody systems.
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Financial Acumen: Comfort with cost modeling, BOM cost analysis, budgeting/forecasting, and total cost of ownership (TCO) evaluations.
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Systems Thinking: Ability to work cross-functionally with engineering, finance, and legal to align procurement strategy with product roadmaps.
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Scaling: Experience scaling supply chains from prototype or low-volume production to large-scale, high-volume manufacturing across multiple vendors.
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Field Environments: Experience supporting hardware deployed in harsh, diverse industrial field environments such as construction, energy, and mining, across global deployments.
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Deployed Robotics: Experience supporting robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots, spanning wheeled, quadruped, or humanoid embodiments.
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Systems & Tools: Experience with ERP/MRP or PLM systems, spend analysis, procurement KPI reporting, and cross-functional roadmap alignment.
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Legal & Compliance: Experience working directly with Legal on procurement contracts (MSAs, NDAs, IP/liability terms), and familiarity with export controls (ITAR/EAR) and conflict minerals compliance.
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Certification: APICS/ASCM, CPSM, or related supply chain certification.
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Cross Functional Hardware Knowledge: Familiarity with hardware domains such as mechanical components, electrical systems, sensors, robotics/actuation, LiDAR, or embedded computing.
Location & Eligibility
About this job
- Pay per year
- $100,000–$200,000 a year
- 36% above the $110,000 median for Supply Chain Manager jobs on Jobera (348 salaries).
- Who can apply
- United States
- Posted
- 113 days ago
Listing Details
- Posted
- July 20, 2026
- First seen
- July 20, 2026
- Last seen
- November 10, 2026
Posting Health
- Days active
- 113
- Repost count
- 0
- Trust Level
- 42%
- Scored at
- November 10, 2026
Signal breakdown
Field AI develops field-proven embodied artificial intelligence (AI) technology, specifically Field Foundation Models™ (FFMs), to enable robots to operate autonomously in complex, real-world environments across various industries.
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