# Strategic Projects Lead, Red Team

**Company**: Scale
**Location**: San Francisco, CA; New York, NY
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $152,000-$190,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/scaleai/jobs/4702122005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_800053a4-2ed

## Description

We are hiring a Strategic Projects Lead to own day-to-day partnerships with frontier model developers. This hands-on role is for someone who is technically curious, comfortable with researchers, and operationally rigorous.

The team Red Team and Safety is a nimble function that stress-tests frontier AI. We partner with major model developers to generate adversarial data, run evaluations, and publish benchmarks across jailbreaks, prompt injection, agentic misuse, LLM-based cyber security, CBRN, political bias, and self-harm. Our work shapes how leading labs train their models and how governments and enterprises deploy them.

As a Strategic Projects Lead, you will:

- Own a portfolio of frontier-lab partnerships day-to-day. Run customer conversations, scope new engagements, and grow accounts from one-off projects into ongoing scope.

- Act as a credible subject-matter expert in customer conversations; explain adversarial methodology, vulnerability taxonomies, benchmark findings, and what they imply commercially, in language that lands with technical buyers.

- Partner with Enterprise and Public Sector account teams to qualify and close opportunities where safety, red teaming, or LLM-based cyber security are part of the deal.

- Coordinate delivery with research and operations leads. Make sure scope, capacity, and timelines line up before we commit, and unblock the team as engagements run.

- Contribute to public benchmark launches. Help shape the framing, the rollout, and the narrative we take to customers and the field.

- Feed signal back into the roadmap. Surface what customers are asking for, what is breaking, and what we should build next.

Ideally, you would have:

- Working fluency in model behavior, adversarial ML, and AI safety, enough to hold a substantive conversation with researchers and ML engineers.

- Experience managing technical accounts or partnerships, ideally with frontier AI labs, large enterprises, or federal agencies.

- Genuine interest in AI safety, evidenced in prior work, writing, or research.

- Strong written and verbal communication and the ability to translate between research and commercial audiences.

- Operational rigor; you scope carefully, track commitments, and keep complex engagements moving.

- Comfort with ambiguity and a bias toward action.

Nice to haves:

- 2+ years of relevant experience.

- Hands-on red teaming, penetration testing, or adversarial ML experience.

- Background at a frontier AI lab, AI policy organization, or national security agency.

- Experience contributing to public benchmarks, evaluations, or research publications.

- Advanced degree in a relevant technical field.

## Skills

### Required
- model behavior
- adversarial ML
- AI safety
- technical account management
- partnership management
- operational rigor
- communication
- translation between research and commercial audiences

### Nice to have
- red teaming
- penetration testing
- adversarial ML experience
- background at a frontier AI lab
- AI policy organization
- national security agency
- public benchmarks
- evaluations
- research publications

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/scaleai/jobs/4702122005?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)