Senior Data and Compute Supply Manager

Genesis Job Posting

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 engine that trains our robots runs on two things we do not make entirely ourselves: the data we buy to fill coverage gaps, and the compute we train and run on. This role owns both, as one supply function. Done right, it is a moat, not procurement.

You will build our sourcing and vendor function from zero across data and compute. You will find the right datasets, partners, and providers, run the deals, plan capacity ahead of demand, and hold cost and quality where they need to be. On the data side, you will make the bar we set internally the bar our partners deliver against, and own data rights: provenance, licensing, consent, and indemnification.

On the compute side, you will own provider relationships, capacity planning, and spend, so we never wait on data or GPUs to move. You join a company moving fast in public, and this function is how we keep the supply behind it under control.

• Source the right data. Find and acquire datasets and collection partners across embodiments, tasks, and environments that fill real gaps in our coverage.

• Run the deals, data and compute. Evaluate suppliers, negotiate MSAs, SOWs, and compute agreements, and manage delivery against commitments.

• Plan compute capacity and spend. Forecast compute needs with the model and infrastructure teams, secure capacity ahead of demand, and own the utilization and cost trajectory of a large, growing spend line.

• Prove before you scale. Run structured evaluations, pilots, quality benchmarking, and capacity testing, and make clear calls on who to scale with.

• Make our bar the supplier's bar. Make sure sourced data meets the internal quality bar our researchers actually rely on. Where that bar is not yet defined, help shape the KPIs with research and quality, translate them into clear vendor specs, make sure they are communicated to suppliers, and hold compute providers to their SLAs.

• Own data rights. Own provenance, licensing, consent, and IP indemnification on everything we bring in, with Legal, so chain-of-custody and training-use rights are clean.

• Stand up the operating model. Build the scorecards, escalation paths, tooling, and the program metrics, data quality, compute utilization, and spend efficiency, visible to leadership.

• You have built sourcing or vendor management at a serious operation. Five or more years in vendor management, strategic sourcing, data partnerships, or infrastructure and compute procurement, with real external-partner ownership. At an AI lab, a data or infrastructure company, or a top data operation, you built or scaled the function from early stage. There is a short list of people who have done this for frontier data or compute.
  
  We want to hear from them.

• A negotiator and an operator. Comfortable with commercial terms and with the technical details, data quality, compute capacity, and utilization, that decide whether a deal is any good.

• You plan capacity and spend. You forecast demand, secure supply ahead of it, and manage a large, growing spend line without surprises.

• You own ambiguity at all altitudes. You can set strategy with leadership and troubleshoot delivery with a supplier in the same day.

• Compliance-aware by instinct. You understand provenance, licensing, consent, and the cross-border realities of acquiring data.

• You build your own tools. You…