---
title: 'Director of Partner Marketing at Scale AI'
canonical: 'https://feeny.ai/job/director-of-partner-marketing-scale-ai-san-francisco-sqy0e01ant1d'
type: 'job'
last_seen: '2026-11-04'
---

# Director of Partner Marketing at Scale AI

- **Company:** Scale AI
- **Location:** San Francisco, CA / New York, NY
- **Posted:** 2026-10-28
- **Last confirmed live:** 2026-11-04
- **Apply:** https://job-boards.greenhouse.io/scaleai/jobs/4748330005

## Job description

At Scale, we develop reliable AI systems for the world’s most important decisions. Our marketing team builds pipeline and brand across Scale’s enterprise, public sector, and frontier AI businesses, working closely with Sales, Partnerships, Product, and Engineering.

This role owns marketing’s partner-sourced pipeline. You will turn Scale’s relationships with CSPs, hyperscalers, and other strategic partners into qualified opportunities that our sales team accepts and closes. You will work with our Partnerships team, who own the commercial relationships. Your job is to help those relationships produce revenue: mapping accounts with partner field teams, building co-sell plays, and putting Scale in front of the buyers our partners already know.

The partner channel is one of Scale’s biggest growth levers. As it scales, so does this role. The group who builds it shapes Scale goes to market with the world’s largest platforms, and their scope will grow with the channel. This is a new function at Scale, and you will build it from 0 to 1. You will report to the VP of Marketing and carry a pipeline target. We are looking for someone who has done this inside or alongside a hyperscaler or channel partner, knows how partner field organizations work, and can open doors in their first weeks.

You will:

- Own a partner-sourced leads pipeline targets and report against it weekly.
- Build and run co-sell motions with AWS, Google Cloud, and Microsoft field teams. That includes account mapping, target-account plans, and joint pursuits in priority verticals.
- Use partner programs to generate demand efficiently: listings and private offers, co-sell programs, partner funding, and joint account-based campaigns and events.
- Build relationships with partner marketing, alliance, and field sales leaders, so Scale becomes a solution their sellers bring to customers.
- Partner with Partner GTM leadership and Ops on lead handoff, acceptance criteria, and follow-up, so partner-sourced opportunities convert.
- Allocate partner marketing budget against measurable pipeline outcomes. Fund the programs that produce qualified opportunities and cut the ones that don’t.
- Work with Product Marketing to package joint Scale and partner offerings for vertical buyers.
- Brief executives, including the CEO, on partner channel performance and where to invest next.

Ideally, you’d have:

- 10+ years in partner marketing, alliances, or channel roles in B2B enterprise technology, with time spent inside a hyperscaler partner organization (AWS, Google Cloud, or Microsoft) or owning a hyperscaler relationship at an ISV.
- A track record of carrying lead and pipeline numbers from partner channels, and a clear account of how that pipeline was sourced.
- Working knowledge of hyperscaler co-sell, marketplace, and partner funding programs, and relationships with people who run them.
- Judgment about where money creates pipeline, and the discipline to choose targeted account work over large sponsorships when the evidence supports it.
- Strong executive presence and clear writing. You can hold a room with partner VPs and Scale’s leadership team.
- Comfort building a function with a lean team and high ownership.

Nice to haves:

- Experience marketing AI, data, or ML infrastructure products.
- Experience co-selling into regulated industries such as financial services, insurance, or healthcare.

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)

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