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Director, AI Alignment and Interpretability (Remote)
CrowdStrike · Remoto Brasil · Flexible / Remote
Publicada em 11/06/2026
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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. 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 also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. 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 Role: Security-domain AI creates alignment and interpretability challenges without good answers in the existing literature. A model trained on offensive techniques, vulnerability research, and proprietary threat telemetry develops internal representations that matter in ways general-purpose models do not. Understanding what that model knows, how it represents threat concepts, and where its behavior could diverge from intent is the research this role exists to do. Most of it hasn't been figured out yet.In this role, you'll lead alignment and interpretability research for CrowdStrike's security-domain AI systems. You'll build methods for reading model internals: identifying features and representations tied to offensive security concepts, detecting misuse signal, and closing the gap between what a model is trained to do and what it actually does. You'll translate those findings into training interventions, behavioral constraints, and evaluation protocols that give the team real confidence in how these models behave. This is hands-on research leadership. The team is lean and the problem space is novel. The
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