Senior Product Manager

Microsoft is dedicated to making the world a safer place through its Security organization, which focuses on protecting digital technology platforms and ensuring security across various environments. They are seeking a Senior Product Manager to lead customer engagements and collaborate with engineering teams on security solutions for AI, driving product direction based on customer insights and feedback.

Responsibilities:

• Lead customer engagements alongside product and engineering teams, ensuring a first-class experience and measurable outcomes
• Partner across product, engineering, marketing, and other teams to align on Security for AI strategy, priorities, and execution
• Serve as a trusted advisor to executive and technical stakeholders on Security for AI
• Become a subject matter authority and ramp quickly on emerging Security for AI capabilities spanning identity, security, compliance, and management
• Help customers derive value from early-stage products by identifying and closing documentation gaps, innovating technical workarounds and testing value hypotheses
• Guide product development towards features that unblock implementations and yield significant near-term insights from key design partners
• Translate customer Security for AI scenarios into clear requirements, success criteria, and action plans (architecture, deployment, and operationalization)
• Drive a tight feedback loop: capture blockers, issues, and learnings; communicate risks and progress; and influence roadmap and engineering execution
• Advocate for interoperability and secure-by-design patterns for AI applications and agents, aligned with cybersecurity and software development lifecycle standards
• Deliver technical briefings, workshops, and demos for audiences ranging from C-level executives to architects, engineers, analysts, and developers
• Create and maintain technical documentation, onboarding guides, and recommended practices to scale learnings to the broader field, customer, and partner communities
• Build and maintain solid relationships with key customer stakeholders to grow trust, accelerate adoption, and expand usage over time
• Embody our culture and values

Requirements:

• Bachelor's Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience
• 4+ years (or equivalent) experience leading complex, cross-group initiatives with multiple stakeholders
• 4+ years (or equivalent) of experience in security, including security engineering, cloud security, application security, security operations, identity, compliance, and data security
• 2+ years (or equivalent) with foundational knowledge of AI/LLM concepts relevant to security (tokens, context windows, function/tool calling, prompts) and the AI application lifecycle
• 4+ years (or equivalent) with demonstrated technical curiosity and a history of fully comprehending complex product implementations, especially in security and identity
• 4+ years (or equivalent) with ability to operate comfortably in highly technical discussions with engineers and operators, while distilling complex risks, progress, and learnings into concise, outcome-focused narratives for executive stakeholders
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
• Ability to communicate clearly and concisely about initiative risks, accomplishments, learnings, and opportunities—adapting to the audience
• Technical pre-sales, technical consulting, or delivery experience in customer-facing roles
• Experience engaging with enterprise customers to define success criteria, drive adoption, and operationalize security capabilities
• Experience securing AI applications (e.g., AI copilots, agentic workflows, RAG systems) including data protection, prompt safety, and runtime controls
• Experience with security governance and compliance programs (e.g., policies, controls, audits, and risk reporting) as applied to AI systems
• Familiarity with identity and access patterns for AI workloads (workload identities, least privilege, secrets management, conditional access concepts)
• Experience with cloud security posture management, threat detection, and incident response in modern cloud environments
• Demonstrated ability to translate customer needs into prioritized requirements, solution positioning, and business value narratives
• Highly adaptable to change; comfortable pivoting in response to evolving circumstances and ambiguity in a fast-paced environment
• Deep knowledge or the ability to learn quickly Microsoft security and AI ecosystems (e.g., Microsoft Entra, Microsoft Defender, Microsoft Purview, Intune, Security Copilot, Azure AI services)
• Advanced use of AI tools at work for increased productivity