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Supply Chain System Manager

MatX · Mountain View (HQ) or Remote

CHECKED 7H AGO

Infrastructureremotesenior$175k–$600k
Apply on the lab’s site ↗

At a glance

Highlights

  • Architect digital supply chain infrastructure powering global operations visibility.
  • Build automated workflows and dashboards for inventory and spend insights.
  • Shape data pipelines linking engineering, supply chain, and finance teams.

What they offer

  • 4 weeks PTO + 12 holidays + up to 3 weeks remote work
  • Company-subsidized medical, dental, vision and life insurance plus HSA/FSA
  • 401K with 5% company contribution, paid life, disability and travel insurance
  • Onsite lunch & dinner Monday-Friday and 100% paid daily commute
  • $1500 yearly professional development budget plus home setup and wellness perks
  • Up to 12 weeks paid parental leave, $6K Family Fund and mental health support

Ideal candidate

A builder-minded systems thinker with hardware operations experience who loves turning messy workflows into scalable automation and coaching non-technical teams through change in a fast-scaling startup.

Requirements

  • 6+ years administering or implementing supply chain systems in a hardware technology setting
  • Expertise with NetSuite, SAPOne, Arena, Propel, Coupa or similar platforms
  • Strong business systems analysis skillset translating workflows into technical requirements
  • Ability to build customized AI tool is highly desirable
  • Excellent communication and change-management skills to train non-technical users
  • Excited to build digital supply chain foundations from the ground up in a startup
remote policy
Up to 3 weeks remote work

Lab profile

About MatX

Designs vertically integrated AI silicon and systems to run frontier models at physics-limit efficiency.

What they build

  • AI accelerator silicon for GenAI training and inference
  • Rack-scale AI data center systems
  • Full-stack silicon-to-software platform for large ML workloads

Known for

  • Vertically integrated silicon-to-systems design
  • AI accelerator architecture and performance modeling for LLMs
  • High-efficiency power architecture from chip to rack
  • Silicon verification and software-hardware co-verification
More about MatX →
Apply on the lab’s site ↗