Join a rapidly scaling AI data and infrastructure company that partners with leading frontier AI labs to build complex datasets, adversarial evaluations, and experimentation systems for advanced models and agents. The company has grown quickly to more than $100M in revenue run rate, raised $34M, and offers early team members the chance to shape both client work and company-wide initiatives.
This is an on-site role in San Francisco for a highly driven operator who can own demanding AI safety projects from client relationship through delivery. The team typically works in the office six days per week and may work 60+ hours during intense periods.
What you'll do
• Partner directly with leading AI labs to design and deliver adversarial datasets, red-teaming programs, and safety benchmarks.
• Own client relationships and project execution end to end, delivering high-quality work against tight timelines.
• Lead teams of subject-matter experts across software engineering, finance, science, security, and other domains.
• Collaborate with internal teams on advanced AI research, evaluation, and data-infrastructure initiatives.
• Drive cross-functional company initiatives as an early team member and support operational priorities where needed.
Requirements
• 2+ years of experience in AI safety, red teaming, trust and safety, adversarial machine learning, security research, or a closely related field.
• Hands-on adversarial experience such as jailbreaking or stress-testing frontier models, prompt-injection research, offensive security, penetration testing, bug bounty programs, CTFs, or trust-and-safety investigations and enforcement.
• Experience at a frontier AI lab, major technology company, leading security firm, or an equivalent high-caliber environment.
• Degree from a top-tier university in the United States, Canada, or Europe, unless professional experience is exceptional.
• Strong communication and client-management skills, with high agency and a track record of owning projects end to end.
• Comfort operating in a high-intensity environment such as management consulting, investment banking, a fast-paced startup, or another demanding client-facing setting.
• Willingness to work on site in San Francisco, typically six days per week, and to work 60+ hours when needed.
Benefits
• Base salary: $130,000-$150,000.
• Public total compensation range: $260,000-$450,000, including bonus and meaningful equity.
• Full-time, on-site in San Francisco, California.
• Visa transfers such as OPT and H-1B transfers may be considered. Exceptional candidates may receive other sponsorship support, but new H-1B petitions are not available.
• In-person final-stage logistics are covered.
Skills Required
- 2+ years of experience in AI safety, red teaming, trust and safety, adversarial machine learning, security research, or a related field
- Hands-on adversarial experience, such as model jailbreaking, frontier model stress testing, prompt-injection research, offensive security, penetration testing, bug bounty programs, CTFs, or trust-and-safety investigations
- Experience at a frontier AI lab, major technology company, leading security firm, or equivalent high-caliber environment
- Degree from a top-tier university in the United States, Canada, or Europe, unless professional experience is exceptional
- Strong communication and client-management skills
- High agency and a track record of owning projects end to end
- Comfort operating in a high-intensity environment such as management consulting, investment banking, a fast-paced startup, or another demanding client-facing setting
- Willingness to work on site in San Francisco, typically six days per week
- Willingness to work 60+ hours when needed
What We Do
Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.
