---
title: 'Head of Supply Chain (Robot Production) at Genesis'
canonical: 'https://feeny.ai/job/head-of-supply-chain-robot-production-genesis-bay-area-jw26jwaqx9kf'
type: 'job'
last_seen: '2026-11-05'
---

# Head of Supply Chain (Robot Production) at Genesis

- **Company:** Genesis
- **Location:** Bay Area
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-23
- **Last confirmed live:** 2026-11-05
- **Apply:** https://jobs.ashbyhq.com/genesis/3d9467fe-0085-44f8-97d7-09e918d1ace3

## Job description

## About Genesis

We are a full-stack general-purpose robot company, born across San Francisco and Paris and bound by a single mission: to make general-purpose robots a reality, unlocking infinite physical labor for the world and freeing people for creativity, exploration, and the pursuits they love for their own sake. We are French and American by birth and global by nature. We are backed by partners who share our vision, including Eclipse, Khosla Ventures, Bpifrance, and HSG, alongside Eric Schmidt, Xavier Niel, Daniela Rus, and Vladlen Koltun. Our people work across the Bay Area and Europe, building the engine that will teach robots to do real work in the real world. We recently unveiled Eno, our wheeled, dexterous robot powered by our GENE foundation model, and we are starting to put it to work with real customers.

## The role

You own the supply chain for a general-purpose robot going from prototype to production: every part in the bill of materials, from actuators, gears and motors to structures, PCBAs, harnesses, batteries and sensors, and every supplier and manufacturing partner behind them. You build it from the ground up, in the United States and abroad, and you build the team that runs it. The scale goes from tens of units to hundreds to thousands, and the supply base, partners and processes that got us to today will not be the ones that get us there. Building the next version is the job. This is a role for someone who has done it before, in the trenches, and wants to do it again with a product that matters more than the last one. You will spend your weeks with suppliers, on the floor with our manufacturing partners, in design reviews with the engineers who are still changing the parts, and with the leadership team on the decisions that shape the company. Strategy and execution are the same job here.

## Why this role

Few people get to decide how a new category of machine gets built. Eno is dexterous, wheeled and already working with real customers, built today with a supply base and partners that got us here. The next version of that supply chain, the one that takes us to volume, is yours to shape: what we make and what we buy, where in the world it comes from, which partners we grow with, and what the robot costs at scale. Those choices will be visible in every unit we ship for years.

## What you'll do

Strategy. Set the supply chain strategy from pilot to volume: make versus buy, regional footprint, domestic content for regulated markets, single versus dual source by sub-system, and the order in which each piece moves as volume grows. Partners. Own contract manufacturer and partner relationships at the executive level: selection, agreements, capacity commitments, cost and quality performance, and the transfer of sub-assemblies between regions and partners when the plan calls for it. Cost. Own the cost roadmap: should-cost and total-cost models, the path from pilot cost to target cost, tooling and capital decisions, long-term agreements with pricing that steps down with volume; partner with Finance on working capital and with Legal on supplier agreements. Supply base. Build the supplier base for the hard sub-systems: actuators, gears and motors, machined and cast structures, PCBAs, harnesses, shells, batteries and sensors; two qualified sources for every critical part, in the regions the product and our customers require. Risk. Run capacity and risk: capacity ahead of demand, lead-time and allocation strategy for constrained parts, tariff and trade exposure, geopolitical and single-point-of-failure risk, and a plan for each. Team. Build and lead the organization: sourcing, supplier development, planning, supplier quality and logistics. Hire the leaders under you, hold a high bar, set the operating cadence and the weekly numbers (clear-to-build, on-time delivery, purchase price variance, inventory, supplier quality) and the readout to the leadership team and the board. Systems. Stand up what a scaled organization runs on, with Manufacturing Engineering and Platform: part numbering, BOM and change control, MRP and ERP, supplier portal, traceability. Lightweight first, then more. Design. Be in the design conversation from the start: bring supplier capability and cost into the product early, and push the design toward what can be built at volume at the right price.

## What we are looking for

Built it before. You have led the supply chain organization for a complex electromechanical product from first builds through production at scale, and either built the supply base from scratch or moved it to a new geography. Robotics, electric vehicles, aerospace, consumer electronics or medical devices. Leader of leaders. You have built a supply chain organization, hired its managers, and run it on numbers; you can still do the work yourself when the team is three people. Commercial weight. You have negotiated with contract manufacturers and tier-one suppliers at the executive level and closed long-term agreements that held up under pressure. Global. You have sourced across regions, including Asia and North America, and moved production between them. Cost record. You can walk through a BOM cost-down from pilot to volume part by part, and you know where the money hides. Technical. You read drawings and GD&T, you understand actuators, gearboxes, motors and PCBAs well enough to challenge an engineer constructively, and you are fluent in BOMs, change control, should-cost and MRP. Pace. You default to urgency, operate without a playbook, and are comfortable before the systems exist. Experience. Typically 10 or more years in supply chain, sourcing or manufacturing operations for complex hardware, with time in a mature organization so you know what good looks like at scale, and time in a company that was building it. Engineering degree preferred.

What else you need to know On-site in the Bay Area. Travel to suppliers and partner sites, including international, up to 40%.

## How we work

We are always looking for people who are driven to work on hard problems and want to shape what the world will look like in ten years. A few of the values that guide us: Limitless ambition. We hold ourselves to the highest bar in everything we build. Relentless urgency. Iterate faster, learn faster. Time is the denominator. Type-2 Fun. Take the work seriously, not yourself. Embrace the grind and find joy in the struggle. Radical transparency. Candid communication builds trust, and direct feedback drives growth. Multiculturalism. We come from across the world. Be curious. Meet people on their terms. Team over ego. Help others, share context, and win as a team. A joyful journey. We take pride in the craft, enjoy the ride, and make space to laugh. Happiness is part of how we get there.

## About Genesis

## Company Overview
- **One-liner**: Genesis AI is a full-stack robotics company building general-purpose robots with human-level dexterity and intelligence, powered by its own foundation model and hardware.
- **Entity Type**: Private (Seed stage – $105M raised)
- **Headquarters**: Paris, France (with offices in the San Francisco Bay Area and London)
- **Founded**: 2024 (emerged from stealth in July 2025)
- **Founders**: Zhou Xian (CEO), Théophile Gervet (President & Co-founder), Yi-Ling Qiao (Co-founder), Tsun-Hsuan Wang (Co-founder)

## Core Business
- **Primary industry**: Robotics Engineering / General-Purpose Robotics
- **Target customers**: Enterprises in manufacturing, laboratories, hospitals, and logistics; future expansion into homes.
- **Mission**: “Build the world’s most capable robots that unlock new possibilities for humans.”

## Products & Services
- **Eno (General-Purpose Robot)**: A full-body robot designed to operate reliably in factories, labs, hospitals, and homes. Driven by the GENE foundation model, it features 20 active, back-drivable degrees of freedom in its hands – matching human size and dexterity.
- **GENE-26.5 (Foundation Model)**: The AI model that powers Eno. It understands goals, reasons through changing conditions, and completes tasks end-to-end. Trained on massive human-based internet video data and proprietary simulation.
- **Data Collection Glove**: A lightweight, sensor-loaded glove worn by humans to collect high-quality manipulation data in real-world settings (e.g., lab technicians, manufacturing workers). This glove bridges the “embodiment gap” and feeds the model with human skill data.
- **Simulation System**: A proprietary simulation environment that accelerates model training and evaluation, reducing the iteration bottleneck.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: Total funding of **$105M** (Seed round, July 2025)
- **Notable Investors/Partners**: Eclipse (co-lead), Khosla Ventures (co-lead), Bpifrance, HSG; individual investors Eric Schmidt, Xavier Niel, Daniela Rus, Vladlen Koltun. Hardware manufacturing partner: Wuji Tech (China).
- **Growth Signals**:
  - Headcount grew from stealth to ~53–60 employees across Paris, Bay Area, and London (monthly growth +16% on LinkedIn).
  - 29 active job postings as of mid-2026, with a +262.5% monthly increase in openings.
  - Demonstrated a wide range of manipulation tasks (cooking, piano, Rubik’s cube, lab work) in public demos.
  - In talks with multiple customers for commercial deployment in pharma and manufacturing.

## Competitive Advantages
- **Full-stack integration**: Genesis controls both the AI model and the robotic hardware, enabling tighter optimization and faster iteration than companies that only do software or hardware.
- **Human-like dexterity**: The robotic hand matches human size, shape, and 20 degrees of freedom, allowing direct transfer of human demonstration data without an “embodiment gap.”
- **Data flywheel**: The combination of a low-friction data collection glove, simulation, and egocentric video creates a scalable pipeline for building a “human skill library.”
- **World-class team**: Founders and early engineers have backgrounds from Mistral AI, NVIDIA, Google DeepMind, Apple Intelligence, Unity, Epic, and leading robotics labs (Berkeley, CMU).

## Strategic Focus
- **Go full stack**: Continue integrating model, hardware, and data collection to deliver a complete general-purpose robot.
- **Commercial rollout**: Target early customers in pharmaceutical labs, manufacturing, and other industrial settings where dexterous manipulation is critical.
- **Scale data collection**: Expand the use of the data glove (both internally and with third-party partners) to rapidly grow the model’s skill repertoire.
- **Global hiring**: Aggressively grow the team across Paris, Bay Area, and London, especially in ML, simulation, rendering, and robotics engineering.

## Why Work Here
- **Culture**: Values include candor, responsibility, limitless ambition, and a joyful journey. The team is described as multicultural, optimistic, and pragmatic.
- **Work model**: Hybrid/office-based presence in Paris, San Francisco Bay Area, and London. No explicit remote policy mentioned, but the company emphasizes in-person collaboration.
- **Engineering culture**: Builders get to work on the hardest problems in robotics and AI – from foundation models to hardware design to data systems. The team includes pioneers of generative simulation, Diffusion Policy, and GPU compilers.
- **Notable perks**: The chance to shape a category-defining general-purpose robot; close collaboration with world-class investors and advisors; fast-growing startup with significant resources ($105M seed).

## Sources
1. [Genesis AI – Official Website](https://www.genesis.ai/)
2. [Genesis AI – Careers Page](https://www.genesis.ai/careers)
3. [TechCrunch – “Khosla-backed robotics startup Genesis AI has gone full stack, demo shows”](https://techcrunch.com/2026/05/06/khosla-backed-robotics-startup-genesis-ai-has-gone-full-stack-demo-shows/)
4. [LinkedIn – Genesis AI Company Profile](https://www.linkedin.com/company/gs-ai)
5. [robotics.press – Genesis AI Company Profile](https://robotics.press/news/genesis-ai-company-profile/)

## Other roles at Genesis

- [Executive Assistant to Founders](https://feeny.ai/job/executive-assistant-to-founders-genesis-bay-area-edm3w5gmmg9p) — Bay Area
- [Chief of Staff & Investor Relations](https://feeny.ai/job/chief-of-staff-investor-relations-genesis-bay-area-gjnyjbp7a88x) — Bay Area
- [Growth Engineer, Recruiting & People](https://feeny.ai/job/growth-engineer-recruiting-people-genesis-paris-k75stskhkqqm) — Paris, France
- [Senior People Partner](https://feeny.ai/job/senior-people-partner-genesis-bay-area-tvfa3fz8b6j6) — Bay Area
- [Recruiting Coordinator](https://feeny.ai/job/recruiting-coordinator-genesis-bay-area-njgnq2es9key) — Bay Area
- [In-House Creator](https://feeny.ai/job/in-house-creator-genesis-bay-area-c1gt9pye76j7) — Bay Area
- [Social Media Manager](https://feeny.ai/job/social-media-manager-genesis-bay-area-rm2dtv978nfg) — Bay Area
- [Deployment Program and Operation Manager](https://feeny.ai/job/deployment-program-and-operation-manager-genesis-bay-area-xmzss081bqff) — Bay Area
- [Deployment Solution Engineer](https://feeny.ai/job/deployment-solution-engineer-genesis-bay-area-wv4ta5ey03tv) — Bay Area
- [Head of Manufacturing Engineering (US)](https://feeny.ai/job/head-of-manufacturing-engineering-us-genesis-bay-area-fb8wzxq4xxz5) — Bay Area