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We are hiring a Product Manager to own AI model security — the discipline of making our frontier models resilient against adversarial attack and purpose-built for security practitioners. This role has a dual mandate: (1) harden our models against the full spectrum of LLM security threats — prompt injection, data exfiltration, jailbreaking, training data extraction, zero-day exploit generation, model poisoning, and agentic workflow exploitation — and (2) partner closely with Microsoft Security product teams (Azure Security, Security Copilot) to ensure our models deliver best-in-class capabilities for real-world security workflows.
Job Responsibility:
Own the model security roadmap
Drive zero-day and exploit defense
Build and scale red-teaming frameworks
Partner with Microsoft Security product teams
Define security-specific model evaluations
Shape security policy and launch readiness
Stay at the frontier
Influence model training and architecture
Requirements:
Bachelor's Degree AND 5+ years experience in product management, security engineering, or software development OR equivalent experience
Demonstrated hands-on experience with AI/ML systems — you have personally built, evaluated, or shipped ML-powered products or security tools
Deep familiarity with LLM security threats: prompt injection, jailbreaking, data exfiltration, adversarial attacks on generative models — through professional experience, red-teaming, or security research
Experience defining product requirements and driving decisions in partnership with researchers or ML engineers
Track record of building evaluation systems, security benchmarks, or adversarial testing frameworks — not just consuming them
Ability to operate autonomously, make decisions with incomplete information, and drive projects from ambiguity to shipped outcomes
Nice to have:
Technical background in computer science, security, or AI/ML — a postgraduate degree is a plus but not required
Experience in offensive security, penetration testing, or red teaming — ideally applied to AI/ML systems
Familiarity with security workflows and tooling (SIEM, SOAR, EDR, threat intelligence platforms) and how practitioners use them in production
Understanding of the model lifecycle (pre-training, fine-tuning, RLHF, deployment, monitoring) and where security interventions are most effective
Experience working with or within enterprise security organizations (e.g., Microsoft Security, CrowdStrike, Palo Alto Networks, or similar)
Published research, blog posts, or public contributions in AI security, adversarial ML, or LLM red teaming