Senior Product Manager - Agent Integrations

Datadog's integrations are the connective tissue between our platform and the technologies our customers run in the real world. As a Sr. PM on the Agent Integrations team, you will own the vision, prioritization, and execution for 100+ integrations that run directly inside the Datadog Agent from foundational infrastructure (MySQL, Kafka, Kubernetes) to the rapidly growing landscape of self-hosted AI and on‑premise enterprise technologies.

This is a high‑impact, breadth‑first role at the intersection of infrastructure observability and the frontier of AI‑native workloads.

At Datadog, we place value in our office culture; the relationships it builds, the creativity it brings, and the collaboration of being together. We operate as a hybrid workplace to ensure our Datadogs can create a work‑life harmony that best fits them.

• Own the Agent Integrations roadmap. Determine which new integrations to build and which existing ones to improve, balancing customer demand, business impact, and engineering capacity across a catalog of 100+ technologies.
• Drive the expanding AI integration surface. Lead product strategy for self‑hosted AI workloads, including LLM inference frameworks (e.g., Hugging Face TGI, BentoML), AI agents, MCP servers, and model orchestration tools, so Datadog customers can monitor every layer of their AI stack.
• Expand on‑prem and hybrid coverage. Prioritize and execute new integrations for on‑prem technologies including storage systems, HPC schedulers, network devices, and legacy enterprise platforms where customers run critical workloads.
• Build observability for ERP systems. Define and drive Datadog’s strategy for monitoring enterprise ERP platforms (SAP, Oracle EBS/Fusion, Microsoft Dynamics) covering performance, job execution health, and integration layer telemetry so enterprise customers can observe their ERP stack alongside the rest of their infrastructure.
• Analyze adoption and customer feedback at scale. Use data from multiple sources to understand usage patterns, identify high‑value improvements, and maintain a structured, prioritized backlog across dozens of integrations simultaneously.
• Work cross‑functionally to ship and grow. Partner with Engineering, PMM, Sales, and Technology Partner Managers on launches, GTM content (blogs, landing pages, conference demos), customer design partnerships, and co‑marketing.
• Remove blockers and accelerate delivery. Engage directly with customers and partners to gather requirements, resolve legal or partnership dependencies, and keep integrations moving from scoping to GA.
• Contribute to the broader Integrations vision. Align with adjacent PM teams (SaaS Integrations, Integrations Experience, Developer Tooling) to ensure the Agent Integrations catalog supports Datadog’s downstream products including NDM, AI Observability, Security, and CCM.

• Experienced PM with a technical foundation. You have 5+ years as a Product Manager with a Software, Solutions, or Systems Engineering background. You’re comfortable navigating complex technical topics and translating them into clear product decisions.
• Deeply familiar with cloud and OSS ecosystems. You have hands‑on PM or Engineering experience with services from major cloud providers or popular open‑source technologies (e.g., MongoDB, Kafka, Kubernetes, PostgreSQL). Someone with no exposure to the ecosystem of technologies we integrate with will have too steep a learning curve.
• Structured and analytical. You follow a rigorous process for prioritizing across a large backlog analyzing adoption data, customer feedback, and market signals to make confident, defensible calls on what to build next.
• Intellectually curious. You actively seek out new technologies and can explain why an emerging space matters before the rest of the market sees it. You’re excited about where AI infrastructure is heading and want to help Datadog be the observability layer for it.
• A strong communicator. You can hold a technical conversation with an engineer, a strategic discussion with a VP, and a discovery interview with a customer and you adjust your style for each.
• Organized at scale. You can manage many integrations in…