Technical Program Manager, Red Team
Scale AI · San Francisco, CA; New York, NY · New York, NY · San Francisco, CA
CHECKED 13H AGO
Infrastructureonsite
At a glance
Highlights
- Stress-test frontier AI models shaping how labs and governments deploy them.
- Own partnerships with model developers, growing one-off projects into ongoing scope.
- Shape public benchmark launches on jailbreaks, prompt injection and agentic misuse.
What they offer
- Base salary plus equity
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
Ideal candidate
Technically curious operator who loves AI safety and thrives with researchers. You bridge research and commercial worlds, stay rigorous amid ambiguity, and act with bias to action to grow frontier-lab partnerships.
Requirements
- Working fluency in model behavior, adversarial ML and AI safety
- Experience managing technical accounts or partnerships with AI labs, enterprises or federal agencies
- Genuine interest in AI safety shown in prior work, writing or research
- Strong written and verbal communication translating between research and commercial audiences
- Operational rigor scoping work, tracking commitments and keeping engagements moving
- Comfort with ambiguity and bias toward action
- 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 with public benchmarks, evaluations or research publications
- Advanced degree in a relevant technical field
Lab profile
About Scale AI
AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.
What they build
- Training, fine-tuning, and evaluation data for frontier models
- Multimodal and coding data for audio, image, video and world models
- Custom AI applications for enterprise and global public sector
Known for
- Leading data partner for frontier model developers
- Trusted across enterprise, defense and public sector
- Depth in multimodal, coding and physical AI
- End-to-end capability from strategy to delivery and evaluation
Key facts
- Founded in 2016
- Headquartered in San Francisco, California
- Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta