Data Partnerships Lead for Embodied AI

Generalist AI, Inc.; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

Generalist is building embodied foundation models and data ecosystems for robotics. You will own the data partnerships and operations, sourcing world-wide data partners, translating requirements into executable specs, and managing pricing and agreements to feed our models with high-quality data.

You will work with ML and engineering leads to elicit needs, pilot partners, and scale partnerships globally while maintaining cost efficiency and data quality. Travel to partner sites is expected.

Qualifications

• Six-plus years owning external partners or vendors who delivered a product or service.
• Experience standing up a new vendor from zero: selection, diligence, contracting, ramp, and ongoing management.
• Ability to translate technical or specialist requirements into unambiguous instructions for non-technical partners.
• Fluency with commercial mechanics — pricing structures, SOWs, acceptance criteria, unit economics.

Responsibilities

• Data supply strategy: identify buy vs. build and map vendor landscape.
• Vendor sourcing and diligence: find, evaluate, pilot data partners, run trials.
• Requirements elicitation: extract volume, environments, annotations, acceptance criteria.
• Translation and specification: write partner-facing specs with clear units of delivery.
• Commercial terms: structure pricing, MSAs and SOWs, unit economics.
• Scaling a partnership into a network: add next partners without sacrificing quality or cost.
• Operating cadence: trackers, weekly reviews, forecasts, cost/volume/quality transparency.
• Closing the loop: report results to research and update specs.

Skills

Vendor management

Data operations

Partnerships

Contracting

Pricing structures

Job description

Generalist is building embodied foundation models and data ecosystems for robotics. You will own the data partnerships and operations, sourcing world-wide data partners, translating requirements into executable specs, and managing pricing and agreements to feed our models with high-quality data.

You will work with ML and engineering leads to elicit needs, pilot partners, and scale partnerships globally while maintaining cost efficiency and data quality. Travel to partner sites is expected.