AI Safety & Red Teaming Lead
Location: San Francisco, CA
Work Model: Onsite
Industry: Applied AI / AI research data
Compensation: $130K-$150K base, $350K OTE
About the Company
Our partner is a fast-growing applied AI company that builds high-quality reinforcement-learning environments, agents, and datasets sold to the world's leading frontier AI labs. They recently grew from under twenty people to more than fifty in a matter of months and have reached a nine-figure revenue run rate. Quality is their core differentiator, and they are rapidly expanding into new domains.
The Opportunity
As the AI Safety & Red Teaming Lead, you will do hands-on adversarial work that directly shapes how foundation models behave. You will design the adversarial datasets and safety benchmarks that frontier labs use to improve their models, partnering directly with those labs on AI safety and model behavior.
This is a hands-on, IC-plus-lead seat for someone who has actually broken models, not just written about safety. You will join a small, high-agency team and help define how the company approaches safety work as it scales.
Responsibilities
- Design adversarial datasets and safety benchmarks used by frontier AI labs to improve foundation models.
- Jailbreak and stress-test frontier models to surface failure modes and unsafe behavior.
- Partner directly with lab researchers
