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Principal Product Manager, AI Model Security

United States, Redmond Employment contract 139900.00 - 274800.00 USD / Year · Job Posted April 27, 2026
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Job Description

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
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