Strategic Projects Lead, Red Team

Scale's Red Team and Safety function stress-tests the most capable AI models in the world, and shapes how labs, governments, and enterprises deploy them. We are hiring a Strategic Partnerships Lead to own day-to-day partnerships with frontier model developers. This is a hands-on role for someone who is technically curious, comfortable with researchers, and operationally rigorous. You will partner closely with research, operations, and go-to-market. 

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.

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.