Principal Product Manager- AI Integrity
MicrosoftAbout the role
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
- Bachelor's Degree AND 8+ years experience in product/program management
- OR equivalent experience.
- 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
Product Management IC5 - The typical base pay range for this role across the U.S. is USD $142,800.00 - $274,800.00 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for
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