Principal Product Manager - AI Security (coreai)

Microsoft Microsoft · Big Tech · Redmond, WA +4 · Product Management

This role focuses on defining and building the security foundation for AI systems, particularly agentic systems, within enterprise applications. The Principal Product Manager will lead product efforts to detect, prevent, and govern AI security risks, integrating these capabilities with Microsoft's broader security stack. The role is at the intersection of AI systems, cybersecurity, and enterprise cloud infrastructure, driving 0-to-1 product development for AI security.

What you'd actually do

  1. Lead the AI Security product area within Azure AI Foundry, defining the long-term vision, strategy, and roadmap for securing AI applications and agents.
  2. Design and deliver security capabilities that help organizations identify, mitigate, and monitor AI attack patterns, including prompt injection, jailbreaks, data exfiltration, malicious tool calls, and model misuse.
  3. Partner with security engineers, red teams, and AI researchers to translate emerging AI attack techniques into productized protections.
  4. Integrate AI security capabilities with Microsoft’s broader security ecosystem, including Defender (threat detection), Entra (identity and access), and Purview (data protection and governance).
  5. Work closely with enterprise security leaders, CISOs, and security practitioners to understand real-world AI security challenges and design solutions that fit existing security operations.

Skills

Required

  • Product/service/program management or software development experience
  • Familiarity with modern cybersecurity concepts
  • Extensive familiarity with AI system architectures, including LLM applications, agents, and tool-using AI systems
  • Understanding of common AI attack patterns
  • Experience working with security engineers, red teams, or security operations teams
  • Ability to engage credibly with CISOs, security architects, and security engineering teams
  • Demonstrated experience building 0-to-1 software products or platforms
  • Experience delivering products in enterprise security, developer tools, or cloud infrastructure
  • Familiarity with AI security testing, evaluation, or automated red teaming techniques
  • Strong collaboration skills with engineering, research, and security teams
  • Proven communication skills

What the JD emphasized

  • AI security
  • agentic systems
  • enterprise security
  • 0-to-1 product development

Other signals

  • AI security
  • agent security
  • enterprise AI