Technical Lead, AI Benchmarking and Evaluation Research (Remote, ROU)

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.About the RoleThe CrowdStrike OCAIO team is looking for a senior technical lead to own how we measure AI models and agentic systems that perform cybersecurity tasks. This is a hands-on leadership role. You will lead a small team of researchers and you will personally help design, build and defend the benchmarks they ship.Our mission is to establish rigorous, reproducible standards for how well AI and agentic systems perform real security work: malware analysis, reverse engineering, threat intelligence reasoning, alert triage, investigation and response. We build our ground truth with security subject matter experts, not with other models, and we score agents on what they actually did, not only on what they