AI Hiring Index

Generalist AI · Go-to-market · Senior · Posted 2026-09-09

Partnerships Associate

Generalist AI · San Francisco Bay Area (San Mateo) or Boston (Somerville)

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ABOUT GENERALIST

At Generalist, we are on a mission to build general intelligence for the physical world and make it useful to everyone. We believe the industries and homes of the future will depend on humans and machines working together in new ways. Robots can help us build more and get more done.

We build embodied foundation models, starting with a focus on dexterity. This requires advancing the frontiers of data, models, and hardware, to enable robots to intelligently interact with the physical world.

The company embraces both large-scale AI and robotics as core to its DNA. Our team of researchers, roboticists, and company builders come from OpenAI, Boston Dynamics, Google DeepMind, and other frontier labs—with a track record of shipping AI breakthroughs. Before Generalist, we pioneered large embodied multimodal models and vision-language-action models (PaLM-E, https://research.google/blog/palm-e-an-embodied-multimodal-language-model/ RT-2 https://deepmind.google/blog/rt-2-new-model-translates-vision-and-language-into-action/, Gemini Robotics https://deepmind.google/models/gemini-robotics/), launched and scaled ChatGPT https://chatgpt.com/ and GPT-4 https://openai.com/index/gpt-4-research/ to hundreds of millions of users, engineered the foundations of autonomous driving, built next-generation robots (Atlas https://bostondynamics.com/atlas/, Spot https://bostondynamics.com/products/spot/, Stretch https://bostondynamics.com/products/stretch/) and pushed the limits of what they can do (from parkour https://www.youtube.com/watch?v=tF4DML7FIWk to manipulation https://bostondynamics.com/blog/large-behavior-models-atlas-find-new-footing/, and testing robustness https://www.youtube.com/watch?v=aFuA50H9uek).

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

RESPONSIBILITIES

- Partner relationships: Serve as a high-energy point of contact for prospective partners, communicating Generalist’s technology and vision clearly, building strong relationships, and identifying opportunities for meaningful partnerships.

- Technical fluency: Become a super user of Generalist’s models and technology, developing the technical fluency to explain complex concepts clearly, demonstrate capabilities, identify compelling use cases, and help partners understand what is possible.

- Partnership qualification & development: Evaluate partnership opportunities, quickly understand partner needs and potential value, prioritize the strongest opportunities, and move promising relationships toward concrete next steps.

- Project management: Own partner initiatives end-to-end, translating conversations into clear workplans, owners, milestones, and timelines and keeping internal and external stakeholders moving toward outcomes.

- Communication & organization: Bring exceptional organization and written and verbal communication to a high volume of parallel partner workstreams; synthesize complex technical and business topics into clear partner-facing communication, internal updates, decisions, and next steps.

- Cross-functional coordination: Work closely with ML/engineering, product, GTM, and leadership to coordinate partner needs, surface decisions, minimize internal overhead, and ensure strong follow-through.

- Travel & ecosystem engagement: Represent Generalist with partners and at relevant industry events and conferences as needed.

Minimum Qualifications

- 2–5 years of professional experience in a highly demanding, high-ownership environment, such as a technology company, startup, management consulting, or similar, with a track record of delivering high-quality work on tight timelines.

- Proven ability to own and drive multiple cross-functional initiatives simultaneously, create clarity from ambiguity, and execute end-to-end with minimal o …

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