Senior Product Manager – AI Remediation [NY]

Datadog•New York, NY

16h•Hybrid

About The Position

As a Senior Product Manager – AI Remediation, you will define, build, and launch capabilities that proactively and autonomously resolve issues before they escalate into production incidents. You will own a broad roadmap focused on AI-powered automation across infrastructure types including hosts, containers, serverless, and networking. This role spans multiple developer entry points, from the Datadog application to IDEs, CLI, and other workflows, ensuring a consistent experience wherever users operate. You’ll partner closely with Engineering, Design, and customers to build AI systems and agents that safely identify, execute, and validate fixes while preserving trust. This is an opportunity to lead a high-impact initiative at the intersection of AI, infrastructure operations, and autonomous observability. 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

5+ years of Product Management experience shipping technical products in cloud infrastructure or SaaS environments, ideally for developer or operator audiences.
Have experience shipping AI-driven products and comfortable reasoning about large language models, agent-based systems, evaluation, and safety considerations.
Customer-focused, with empathy for how developers and operators work across applications, terminals, and collaboration tools.
Technically fluent, with knowledge of cloud infrastructure and the ability to reason about APIs, distributed systems, and AI/ML concepts.
Comfortable making thoughtful decisions in ambiguous environments and balancing speed with long-term platform integrity.
Clear and concise communicator who can lead cross-functional initiatives and align stakeholders around a shared vision.

Responsibilities

Lead the product vision and roadmap for AI-driven infrastructure remediation, evolving Datadog from passive observability to proactive, safe action.
Define and launch an end-to-end remediation experience across the Datadog UI, agent and chat interfaces, CLI, and other developer workflows.
Partner with Design to create user-facing experiences that make proactive remediation intuitive, transparent, and trustworthy.
Define AI-powered building blocks that identify remediation opportunities and safely execute actions while maintaining customer confidence.
Collaborate cross-functionally with infrastructure monitoring, core platform, and AI product teams to integrate remediation capabilities across the Datadog platform.
Establish quality standards and success metrics for remediation, including correctness, safety, and user trust.