Product Manager II - AI & Data Security

Datadog•New York, NY

2d•Hybrid

About The Position

As a Product Manager II 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. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

Requirements

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

Responsibilities

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