---
title: 'Head of Strategic Partnerships, Labs at Scale AI'
canonical: 'https://feeny.ai/job/head-of-strategic-partnerships-labs-scale-ai-san-francisco-vye4n623xfpv'
type: 'job'
last_seen: '2026-10-14'
---

# Head of Strategic Partnerships, Labs at Scale AI

- **Company:** Scale AI
- **Location:** San Francisco, CA
- **Compensation:** $134k–$168k
- **Posted:** 2026-10-13
- **Last confirmed live:** 2026-10-14
- **Apply:** https://job-boards.greenhouse.io/scaleai/jobs/4743370005

## Job description

## About Scale AI

Our mission is to develop reliable AI systems for the world's most important decisions. The Enterprise AI business delivers performant, reliable, and production-grade AI applications to enterprises across all industries by providing Generative AI expertise and infrastructure.

## The Role

Scale is looking for a seasoned leader and operator to own Scale Enterprise's partnerships with frontier AI labs and foundation model providers. This leader will build and turn our lab relationships into a go-to-market and technology advantage for the Enterprise business.

This is a revenue-minded role. You will build joint go-to-market motions with model providers, structure technology and commercial partnerships, and make sure Scale is the preferred partner for taking lab models into production at enterprise scale. You need to be strategic, technically fluent, and able to execute in a fast-moving, competitive market.

This role is highly cross-functional. You will work closely with Enterprise sales, product, engineering, research, finance, legal, and marketing. You will also coordinate with Scale's broader relationships with these labs.

You will

- Define and deliver the strategy for Scale Enterprise's partnerships with frontier AI labs and foundation model providers
- Build trusted relationships with go-to-market, partnerships, applied AI, and executive leaders at partner labs
- Structure and negotiate partnerships covering joint go-to-market, co-selling, referrals, model access and commercial terms, and technical integrations
- Build joint offerings that pair partner models with Scale's applications, evaluation, and data capabilities to speed up enterprise deployments
- Set up co-sell motions and rules of engagement with lab enterprise sales teams, including joint account mapping and deal registration
- Generate significant top-of-funnel pipeline through lab partnerships, with clear accountability against Enterprise revenue targets
- Work with Product, Engineering, and Research so new model capabilities and partner integrations get to Scale's Enterprise customers quickly
- Track the model landscape and advise leadership on where to partner, where to integrate, and where to differentiate
- Work with Scale's broader lab relationships so the company presents a consistent, coordinated partnership strategy
- Own post-signature execution: integration delivery, joint marketing and launches, and regular business reviews
- Be measured on (1) partner-sourced and influenced revenue, (2) product and roadmap advantages gained through partnerships, and (3) the strength and breadth of Scale's model partner ecosystem

Ideally you’d have

- 12+ years in revenue-carrying business development, strategic partnerships, or alliances at a technology company, with recent experience in AI, ML, or cloud platform ecosystems
- Existing relationships with partnerships, go-to-market, or leadership teams at frontier AI labs or major foundation model providers
- Strong technical fluency in LLMs, model deployment, evaluation, and enterprise AI architecture, with the ability to hold your own with research and engineering teams
- A track record of structuring complex technology and commercial partnerships, including co-sell and platform agreements
- Experience managing partners that may also be competitors in some areas
- Comfort working in a highly matrixed organization and influencing without direct authority
- Entrepreneurial drive, comfort with rapid change, and an analytical, data-driven approach to strategy
- Bachelor's degree required

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $134,400—$168,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's [Know Your Rights poster](https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our [privacy policy](https://scale.com/legal/privacy) for additional information.

## About Scale AI

## Company Overview
- **One-liner**: Scale AI provides high-quality data, RLHF, model evaluations, and full-stack AI infrastructure to help enterprises and governments build, deploy, and oversee reliable AI systems.
- **Entity Type**: Private (49% non‑voting stake owned by Meta Platforms as of June 2025; total funding $1.6B across eight rounds)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2016
- **Founders**: Alexandr Wang, Lucy Guo (Wang left in June 2025; current CEO is Jason Droege)

## Core Business
- **Primary industry**: AI infrastructure, data annotation, large language model (LLM) evaluation, enterprise AI deployment
- **Target customers**: B2B – Enterprise and government organizations; also serves leading AI labs (e.g., OpenAI, Google DeepMind, Meta, Microsoft, General Motors)
- **Mission**: “Develop reliable AI systems for the world's most important decisions.”

## Products & Services
- **Data at Scale**: High-quality training data, annotations, and RLHF for advanced AI models (SaaS + human-in-the-loop service)
- **Evaluations**: Rigorous model evaluations, benchmarking, and red‑teaming to measure and improve AI performance (service)
- **Applied AI**: Full‑stack AI systems that help enterprises and governments build, deploy, and oversee reliable AI (SaaS + consulting)
- **Safety, Evaluation and Alignment Lab**: Research arm focused on LLM alignment and safety (internal R&D; also co‑created the “Humanity's Last Exam” benchmark)
- **Subsidiaries**: Remotasks (computer vision and autonomous vehicle data labeling), Outlier (LLM data annotation)

## Market Standing
- **Valuation**: $29B (as of 2025 – cited on scale.com)
- **Key Metric**: Total Funding – $1.6B (including the $14B Meta investment that acquired a 49% non‑voting stake in June 2025)
- **Notable Investors/Partners**: Meta Platforms (49% owner), with commercial customers including Google, Microsoft, Meta, General Motors, OpenAI, and Time. Also works with U.S. and Qatari governments.
- **Growth Signals**:
  - Headcount: Scale.com cites “1,000+” employees; LinkedIn reports 3,751 employees (+32.1% YoY).
  - 90% of the world’s leading generative AI model builders are powered by Scale.
  - 15 billion human decisions used to train AI models; $1 billion paid to contributors globally.
  - Active job postings: 284+ (as of July 2025), with strong hiring in enterprise engineering, AI agents, and solutions roles.

## Competitive Advantages
- **Data moat**: Scale’s proprietary Data Engine and access to millions of human‑annotated decisions create high‑quality training data that competitors cannot easily replicate.
- **Trust & adoption**: Used by 90% of leading GenAI builders; runs private benchmarks for the most ambitious AI companies.
- **Government credibility**: Direct contracts with the U.S. Department of Defense and international governments (e.g., Qatar) – a high‑barrier entry point.
- **Full‑stack offering**: From raw data annotation to LLM evaluation and end‑to‑end applied AI deployment, Scale covers the entire AI lifecycle.
- **Research leadership**: In‑house Safety, Evaluation and Alignment Lab; co‑creator of the “Humanity's Last Exam” benchmark.

## Strategic Focus
- **Enterprise GenAI agents**: Ramping up “AgentOps” and “Frontier Agents” engineering teams (many open roles in SF, NY, London, Budapest).
- **Healthcare & life sciences**: Hiring dedicated GTM leaders and AI strategists for healthcare vertical.
- **International expansion**: Growing offices in London, Budapest, Mexico City, and Washington DC.
- **Safety and alignment**: Continued investment in red‑teaming, model evaluations, and government‑focused AI safety contracts.

## Why Work Here
- **Mission‑driven**: “Develop reliable AI systems for the world’s most important decisions” – directly shaping frontier AI capabilities.
- **Compensation & benefits**: Comprehensive health, dental, vision, mental health services; generous PTO; annual learning & development stipend; parental leave; ERGs; guest‑friendly offices with happy hours, game nights, book clubs.
- **Engineering culture**: Credos such as “Write the Market,” “Find the 20%,” “Earn Customer Love,” and “Quality is Our Cheat Code” emphasize impact over effort, customer obsession, and structured thinking.
- **Growth trajectory**: Rapid headcount growth (+32%), major Meta investment, and expansion into new verticals signal a company in high‑growth mode.
- **Flexible work**: Offices in SF, NY, London, Budapest, Mexico City, DC; the careers page highlights “flexible environment,” though specific remote/hybrid policy is not explicitly stated.

## Sources
1. [scale.com](https://scale.com/about)
2. [scale.com](https://scale.com/)
3. [scale.com/careers](https://scale.com/careers)
4. [linkedin.com](https://www.linkedin.com/company/scaleai)
5. [greenhouse.io](https://job-boards.greenhouse.io/scaleai)

## Other roles at Scale AI

- [Engagement Manager, Public Sector (Miami, FL)](https://feeny.ai/job/engagement-manager-public-sector-miami-fl-scale-ai-miami-3ndjz5cd9kra) — Miami, FL
- [Field Marketing & Events Manager, Frontier Data](https://feeny.ai/job/field-marketing-events-manager-frontier-data-scale-ai-san-francisco-nhcmhqcg1e92) — San Francisco, CA
- [Systems Engineering Integration & Test Lead, Public Sector](https://feeny.ai/job/systems-engineering-integration-test-lead-public-sector-scale-ai-washington-9zdy3d16gdp6) — Washington, DC
- [Enterprise AI Development Strategist](https://feeny.ai/job/enterprise-ai-development-strategist-scale-ai-new-york-kjesqme2drnw) — New York, NY / San Francisco, CA
- [Public Sector Lead, Central Government](https://feeny.ai/job/public-sector-lead-central-government-scale-ai-london-3x4txw5rm0ww) — London, United Kingdom
- [IT Support Engineer](https://feeny.ai/job/it-support-engineer-scale-ai-mexico-city-4phnynxdj7pr) — Mexico City, Mexico
- [Product Operations Lead, Generative AI](https://feeny.ai/job/product-operations-lead-generative-ai-scale-ai-san-francisco-edrfs0c5fjsq) — San Francisco, CA / New York, NY
- [Revenue Operations Manager](https://feeny.ai/job/revenue-operations-manager-scale-ai-san-francisco-h22c8pyenzea) — San Francisco, CA
- [Account Based Marketing Lead](https://feeny.ai/job/account-based-marketing-lead-scale-ai-san-francisco-scbm74c8z3py) — San Francisco, CA / New York, NY
- [Senior Software Engineer, Orchestration Platform](https://feeny.ai/job/senior-software-engineer-orchestration-platform-scale-ai-san-francisco-pgz9za0daxjr) — San Francisco, CA / New York, NY