Senior Product Manager - AI & Data Security

Datadog Datadog · Enterprise · New York, NY · Product Management

Product Manager II at Datadog focused on defining and delivering capabilities for organizations to securely adopt and scale AI. The role involves building products for visibility into AI systems and data usage, assessing security posture, and managing risk across the AI lifecycle, operating at the intersection of security, AI, and cloud platforms.

What you'd actually do

  1. Own and drive the roadmap for AI & Data Security capabilities, including AI and data discovery and posture management
  2. Define how customers assess and manage the security posture of AI systems, including risks related to configuration, data exposure, and policy compliance
  3. Partner with engineering and design to deliver end-to-end product capabilities, from concept through launch and iteration
  4. Collaborate with security research teams to identify emerging risks in AI systems and translate them into actionable product features
  5. Engage with customers to understand AI adoption patterns and validate solutions that enable secure, scalable operations

Skills

Required

  • 3+ years of product management experience building technical products in areas such as security, AI, data, cloud infrastructure, or developer platforms
  • Strong understanding of modern cloud environments, application architectures, and the fundamentals of generative AI systems
  • Interest in the security challenges introduced by AI and machine learning systems, particularly in production environments
  • Comfortable working closely with engineers and discussing technical design, tradeoffs, and implementation details
  • Experience engaging with customers and using their feedback to inform product decisions and prioritization
  • Ability to navigate ambiguity and translate complex problem spaces into clear product direction and execution

Nice to have

  • passion for technology
  • grow your skills

What the JD emphasized

  • security
  • AI
  • data
  • cloud platforms
  • emerging, ambiguous problem spaces
  • security posture
  • risks
  • policy compliance
  • emerging risks
  • AI adoption patterns
  • secure, scalable operations
  • security challenges introduced by AI and machine learning systems
  • production environments