---
title: 'Partnerships Lead at Generalist'
canonical: 'https://feeny.ai/job/partnerships-lead-generalist-boston-8nybcad5s025'
type: 'job'
last_seen: '2026-09-16'
---

# Partnerships Lead at Generalist

- **Company:** Generalist
- **Location:** Boston, MA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-09
- **Last confirmed live:** 2026-09-16
- **Apply:** https://jobs.ashbyhq.com/generalist/1a8a79a5-1f4c-4ead-8e03-7ef36ed2c117

## Job description

## 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 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 ownership: Own and deepen relationships with a small number of Generalist’s most important partners, building trusted relationships across technical, operational, and executive stakeholders.
- Partnership development: Evaluate partnership opportunities for both new and current partners, including understanding priorities, identifying opportunities for collaboration, and translating into concrete next steps.
- Technical fluency: Become a super user of Generalist’s models and technology, developing the technical depth to explain complex concepts clearly, engage credibly with partner teams, identify compelling applications, and help partners get the most out of our technology.
- Program leadership: Drive complex partner initiatives end-to-end, aligning stakeholders across organizations, defining workplans and milestones, resolving blockers, and maintaining momentum across multiple workstreams.
- Executive communication: Communicate clearly and credibly with senior internal and external stakeholders, synthesizing technical and business topics into crisp updates, recommendations, decisions, and next steps.
- Cross-functional coordination: Work closely with ML/engineering, product, Partnerships, and leadership to represent partner needs internally, coordinate decisions, and translate external learnings into product, model, and company action.
- Travel: Represent Generalist with partners and at relevant industry events and conferences as needed.

## Minimum Qualifications

- 5–7 years of professional experience in partnerships, business development, product/program leadership, strategy & operations, technology, or another high-ownership environment.
- Demonstrated ability to independently own important external relationships and complex cross-functional initiatives with minimal oversight.
- Exceptional organizational and project management skills; able to manage multiple high-stakes workstreams, stakeholders, decisions, and timelines simultaneously.
- Exceptional written and verbal communication skills, including the ability to understand complex technical concepts and explain them clearly and compellingly to different audiences.
- Strong technical curiosity and demonstrated ability to quickly develop fluency in complex products or technologies.
- Strong judgment and ability to understand partner needs, identify the highest-value opportunities, navigate ambiguity, and make thoughtful recommendations.
- Strong interpersonal skills and executive presence; able to build trust with stakeholders across different levels and functions within large organizations.
- High ownership, integrity, responsiveness, reliability, and consistent follow-through.
- Comfort operating in a fast-changing environment where priorities, processes, and responsibilities may sometimes be ambiguous and evolve quickly.

## Preferred Qualifications

- Experience working in AI/ML, robotics, developer platforms, enterprise technology, or another complex technical environment.
- Experience owning major customer or partner relationships over multiple years and expanding those relationships over time, including working directly with senior executives and navigating complex enterprise organizations.
- Experience leading technical programs or deployments involving multiple internal and external teams.
- Experience working in an early- or growth-stage technology company where roles and processes are still evolving.

## About Generalist

## Company Overview
- **One-liner**: Generalist is a frontier AI research and product company building general-purpose intelligence for the physical world through embodied foundation models for robots.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Mateo, California, United States
- **Founded**: 2024
- **Founders**: Pete Florence (Co-Founder & CEO), Andy Zeng (Co-Founder & Chief Scientist)

## Core Business
- **Primary industry**: Robotics Engineering, Artificial Intelligence, Embodied AI
- **Target customers**: B2B – enterprises operating factories, warehouses, laboratories, restaurants, and logistics centers; eventually homes.
- **Mission**: “Make general-purpose robots a reality. We build embodied foundation models for the physical world.”

## Products & Services
- **GEN-1**: General-purpose AI model for robotics that achieves ~99% average success rate on tasks (vs. 64% for prior state-of-the-art) and completes tasks roughly 3x faster. Trained on half a million hours of real-world data collected via low-cost wearable devices. Available to early-access partners as a model or API. [therobotreport.com](https://www.therobotreport.com/generalist-introduces-gen-1-general-purpose-model-for-physical-ai/)
- **GEN-0**: Previous generation model that demonstrated scaling laws in robotics. Used as the foundation for GEN-1.
- **Data Collection Devices**: Proprietary low-cost wearable hardware that captures human activities at scale, enabling pretraining without large teleoperation or simulation datasets.

## Market Standing
- **Valuation**: Not publicly available
- **Key Metric**: Total Funding – $128M (Series A closed March 2025; earlier seed round led by NVentures) [linkedin.com](https://www.linkedin.com/company/generalistai)
- **Notable Investors/Partners**: NVentures (seed lead); Board Director Ellen Chisa. Series A investor not named in public data.
- **Growth Signals**: Headcount grew 325% YoY to 42 employees. GEN-1 model released five months after GEN-0, with production-level reliability. Early-access partnerships underway. [linkedin.com](https://www.linkedin.com/company/generalistai)

## Competitive Advantages
- **Model performance**: GEN-1 achieves 99% average success rate across tasks like kitting auto parts, folding T-shirts, packing phones – a step change from sub-70% success by previous models.
- **Data efficiency**: Trained primarily on human demonstration data (wearable devices) rather than expensive robot teleoperation data; can match previous models with 10x less task-specific data.
- **Algorithmic innovations**: Custom training kernels, paged attention for real-time inference, Harmonic Reasoning, and RL post-training enable improvisation and recovery from unexpected scenarios.
- **Team pedigree**: Founders and key hires from OpenAI, Google DeepMind, and Boston Dynamics – bringing experience from ChatGPT, GPT-4, PaLM-E, RT-2, Gemini Robotics, Atlas, Spot, and Stretch.

## Strategic Focus
- Current priorities: Scale GEN-1’s embodied foundation model to master more complex physical tasks, expand into economically valuable settings (manufacturing, logistics, healthcare), and build the data infrastructure needed for general-purpose robots. The company is “accelerating the next phase of factories, homes, and the broader physical world.”

## Why Work Here
- **Culture**: Tight-knit, research-forward environment with a mix of AI and hardware engineering. On-site presence in San Francisco (SFO) and Boston (BOS). [generalistai.com/careers](https://jobs.ashbyhq.com/generalist)
- **Remote/Hybrid Policy**: All open positions are listed as “On-site” (no remote or hybrid options).
- **Notable Perks**: Not explicitly disclosed, but the startup’s rapid growth and $128M funding suggest competitive compensation and equity. The team consists of leading roboticists and AI researchers, offering exposure to cutting-edge work.
- **Engineering Culture**: Heavy emphasis on technical staff (Software Engineers in ML Infra, Robotics Controls, ML Optimization, Infrastructure; Research Scientists in pretraining and post-training). Roles include hands-on robot operation and systems building.

## Sources
1. [generalistai.com](https://generalistai.com/)
2. [generalistai.com/careers](https://jobs.ashbyhq.com/generalist)
3. [generalistai.com/about](https://generalistai.com/about)
4. [linkedin.com](https://www.linkedin.com/company/generalistai)
5. [therobotreport.com](https://www.therobotreport.com/generalist-introduces-gen-1-general-purpose-model-for-physical-ai/)

## Other roles at Generalist

- [Partnerships Associate](https://feeny.ai/job/partnerships-associate-generalist-san-mateo-6tjbtw8vd9hs) — San Mateo, CA / Somerville, MA
- [Strategic Deals Lead](https://feeny.ai/job/strategic-deals-lead-generalist-san-mateo-0rmkzfk4tqkx) — San Mateo, CA
- [Senior Legal Counsel](https://feeny.ai/job/senior-legal-counsel-generalist-san-mateo-t600f8nkb79n) — San Mateo, CA
- [Recruiting Coordinator](https://feeny.ai/job/recruiting-coordinator-generalist-san-mateo-c8zkjanpaav9) — San Mateo, CA
- [Talent Acquisition Partner](https://feeny.ai/job/talent-acquisition-partner-generalist-san-mateo-ky6enky5hd1r) — San Mateo, CA / Somerville, MA
- [Research Scientist: Post-Training](https://feeny.ai/job/research-scientist-post-training-generalist-san-mateo-vrnttp54gr4z) — San Mateo, CA / Somerville, MA
- [Data Partnerships](https://feeny.ai/job/data-partnerships-generalist-san-mateo-tm0yccvmgxm3) — San Mateo, CA / Somerville, MA
- [Mechanical Engineer](https://feeny.ai/job/mechanical-engineer-generalist-boston-74p3xtqpvs13) — Boston, MA
- [Electrical Engineer](https://feeny.ai/job/electrical-engineer-generalist-san-mateo-x985d69q4w17) — San Mateo, CA / Somerville, MA
- [Research Assistant](https://feeny.ai/job/research-assistant-generalist-san-mateo-1ahfzy22gp7s) — San Mateo, CA / Somerville, MA