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Data Partnerships

Generalist AI· Technical Staff
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San Francisco Bay Area (San Mateo) or Boston (Somerville)Full-timePosted 1mo ago

About the role

Role focused on building and managing the data engine for embodied foundation models in robotics, including partner identification, sourcing, specification, and scale-out of data collaborations to support model training and future commercial partnerships.

Responsibilities

  • Data supply strategy. Identify what we need to buy versus build. Map the vendor landscape across data types and quality. Bring recommendations, not options.
  • Vendor sourcing and diligence. Find, evaluate, and pilot new data partners. Run structured trials before committing volume. Know how to tell a real capability from a good deck.
  • Requirements elicitation. Sit with ML and engineering leads and extract the actual requirement — volume, environments, embodiments, task diversity, annotation schema, acceptance criteria, what happens downstream.
  • Translation and specification. Author partner-facing specs that a non-ML operator can execute against with no follow-up call. Define the unit of delivery, what passes, what fails, and what to do when it is ambiguous.
  • Commercial terms. Structure pricing, rate cards, minimums, milestones, and acceptance language. Work with legal on MSAs and SOWs. Own the unit economics and know what we are paying per unit of usable data, not per unit delivered.
  • Scaling a partnership into a network. When one partner hits capacity, stand up the next without dropping quality or blowing up cost.
  • Operating cadence. Trackers, weekly partner reviews, forecasts against the research roadmap, and a clear picture of cost, volume, and quality that anyone at the company can read.
  • Closing the loop. Report back to research on what the data actually produced and use it to change the next cycle's spec.
  • Travel. Periodic domestic and international travel to partner sites and collection operations.

Qualifications

  • 6+ years owning external partners or vendors who delivered a product or service to you — supply chain, vendor management, outsourcing/BPO management, data operations, or partnerships with a delivery obligation.
  • Demonstrated experience standing up a new vendor from zero: selection, diligence, contracting, ramp, and ongoing management.
  • A track record of translating technical or specialist requirements into unambiguous instructions that a non-technical execution partner delivered against successfully.
  • Fluency with commercial mechanics — pricing structures, SOWs, acceptance criteria, unit economics — and the judgment to know which terms actually protect quality.
  • Exceptional written communication.
  • Comfort operating with incomplete requirements and re-scoping mid-flight without losing the relationship.
  • Even-keeled under pressure and relentlessly consistent on follow-through.

Skills

Required:Data partnerships strategyVendor managementRequirements elicitationCommercial terms and MSAs
Last updated Sep 1, 2026. Interested? Apply on the company site.
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About Generalist AI

Generalist is a frontier AI research and product driven company building general intelligence for the physical world.

Generalist AI: a frontier AI research and product driven company building general intelligence for the physical world.

AIGEN-1PRODUCTSVLAsembodied AIembodied intelligencegeneral-purposegeneral-purpose AI
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