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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.
Job Responsibility
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
Requirements
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 have
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