Senior Product Manager - AI & Data Security

Datadog
New York, New York, USA / New York, New York, NY, United States2026-04-10

About the job

As a Senior Product Manager for AI & Data Security at Datadog, you will define and deliver capabilities that help organizations securely adopt and scale AI across their applications and infrastructure. You’ll focus on building products that provide visibility into AI systems and data usage, assess security posture, and enable teams to manage risk across the AI lifecycle. This role sits at the intersection of security, AI, and cloud platforms, and is ideal for a PM who thrives in emerging, ambiguous problem spaces. You will work cross-functionally to shape how customers discover, understand, and secure AI-powered systems in production.

Responsibilities

Own and drive the roadmap for AI & Data Security capabilities, including data security posture management and data loss prevention

Define how customers assess and manage the security posture of AI systems, including risks related to configuration, data exposure, and policy compliance

Partner with engineering and design to deliver end-to-end product capabilities, from concept through launch and iteration

Collaborate with security research teams to identify emerging risks in AI systems and translate them into actionable product features

Engage with customers to understand AI adoption patterns and validate solutions that enable secure, scalable operations

Define and track success metrics such as product adoption, usage, and impact on customer security workflows

Qualifications

Minimum

5+ 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

Preferred

No preferred qualifications listed.