Principal Product Manager- AI Integrity

** Overview*
* 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.

** Responsibilities*
* + 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.

** Qualifications*
* ** Required/minimum qualifications*
* + Bachelor's Degree AND 8+ years experience in product/program management

+ OR equivalent experience.

** Other Requirements*
* Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
Microsoft Cloud Background Check:
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

** Additional or preferred qualifications*
* + 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…