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Company Overview
This leading global technology company is at the forefront of AI innovation, providing enterprise cloud solutions that empower organizations to operate responsibly and efficiently. The Azure AI Foundry team develops AI governance frameworks and tools to ensure secure, compliant, and trustworthy AI adoption across industries. The team emphasizes cross-functional collaboration, ethical AI, and compliance readiness, shaping the next generation of enterprise AI platforms.
Job Title: Principal Product Manager – AI Governance (Azure AI Foundry)
Job Description Responsibilities
• Lead the AI Governance product area within Azure AI Foundry, defining long-term vision, strategy, and roadmap for policy management, compliance automation, and regulatory readiness.
• Design and deliver core governance experiences, including agent-level policies, data sensitivity signals, prohibited action controls, and AI system compliance dashboards.
• Integrate Foundry governance with Microsoft’s security and compliance stack — Entra (identity and A2A policies), Purview (data classification and DLP), and Defender (threat insights).
• Translate emerging AI regulations (EU AI Act, ISO 42001, NIST AI RMF) into actionable platform capabilities and customer experiences.
• Partner with Responsible AI researchers and engineering teams to operationalize ethical principles into measurable safeguards and evaluators.
• Collaborate with customers, industry bodies, and policymakers to help shape standards for trustworthy AI deployment.
• Establish and track success metrics (governance coverage, compliance posture, customer adoption), ensuring measurable impact and clarity across engineering and partner organizations.
• Represent the product in executive and customer forums, evangelizing the company’s approach to responsible, governed AI systems.
Qualifications
• Bachelor’s degree AND 8+ years in product management, program management, or technical leadership roles OR equivalent experience.
• Ability to meet specialized security screening requirements, including Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Preferred Qualifications
• Deep familiarity with AI/ML systems, model governance, or enterprise compliance frameworks.
• Proven experience driving cross-functional initiatives with engineering, security, and policy teams.
• Excellent communication skills with demonstrated ability to influence across organizational boundaries.
• 10+ years of product management or applied AI experience, ideally in enterprise cloud or responsible AI domains.
• Knowledge of AI governance frameworks (EU AI Act, NIST AI RMF, ISO 42001, SOC 2, etc.).
• Experience building or integrating security, compliance, or observability products.
• Familiarity with agentic AI systems and associated risk classes (e.g., sensitive data leakage, prohibited actions, task drift, jailbreaks).
• Hands-on technical depth to collaborate effectively with engineers and architects.
• Strong storytelling and executive communication skills; ability to inspire trust and drive alignment in complex, cross-organizational environments.
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