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Principal Product Manager- AI Integrity

United States, Redmond 139900.00 - 274800.00 USD / Year · Job Posted May 06, 2026
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Job Description

The AI Integrity & Provenance team builds post‑deployment safety, abuse monitoring, and content authenticity systems for frontier AI models and experiences across Microsoft. We are looking for a Principal Product Manager to own strategy and execution for integrity and provenance capabilities that enable responsible deployment, regulatory compliance, and real‑world abuse detection of AI systems at scale.

Job Responsibility

  • Lead product strategy for AI Integrity Foundations across provenance, abuse monitoring, incident response, and social listening, enabling safe, accountable, and resilient deployment of AI systems and agents at scale
  • Define the long-term vision, strategy, and roadmap for foundational integrity capabilities within Azure AI Foundry, ensuring consistent post-deployment safeguards across models, applications, and agentic workflows
  • Improve abuse monitoring and detection systems that identify and mitigate real-world AI threats and misuse, including prompt injection, jailbreaks, data exfiltration, malicious tool calls, coordinated abuse, model exploitation and other novel vectors
  • Own incident response product capabilities, enabling rapid detection, triage, investigation, and remediation of AI-related safety and security incidents, with clear metrics for MTTR, coverage, and enforcement effectiveness
  • Evolve provenance and content authenticity capabilities, supporting traceability, attribution, auditability, and regulatory requirements for trustworthy AI outputs
  • Partner closely with security engineers, red teams, AI researchers, and integrity analysts to translate emerging attack patterns, abuse signals, and novel harm vectors into durable, productized protections
  • Integrate AI integrity and security capabilities with Microsoft’s broader ecosystem, including Defender (threat detection and response), Entra (identity and access control), and Purview (data protection, governance, and compliance)
  • Drive 0‑to‑1 product development, taking new integrity and safety concepts from early experimentation through production launch, customer adoption, and operational maturity
  • Establish and own metrics and dashboards for AI integrity posture and product success, including detection coverage, signal quality, response effectiveness, customer impact, and regulatory readiness

Requirements

  • Bachelor's Degree AND 8+ years experience in product/program management OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Nice to have

  • Bachelor's Degree AND 12+ years experience in product/program management OR equivalent experience
  • 4+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework)
  • 6+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn)
  • 6+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product)
  • Platform PM experience driving foundational or horizontal capabilities
  • Demonstrated systems‑level thinking in safety, security, or reliability‑critical domains
  • Experience shipping AI platforms or trust, safety, or integrity‑focused products into production
  • Experience with AI security testing, evaluation, or automated red‑teaming techniques for generative AI or agentic systems
  • Familiarity with post‑deployment AI monitoring, incident response workflows, and operational metrics such as detection coverage, signal quality, and response effectiveness
  • Exposure to enterprise governance, data protection, and compliance systems, particularly as they relate to AI deployments
  • Background working on safety‑critical, security‑critical, or high‑risk systems operating at global scale

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