Senior Product Manager - Agent Integrations

What You'll Do

• 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.
• 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.
• 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.
• 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, 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 to ensure the Agent Integrations catalog supports Datadog's downstream products including NDM, AI Observability, Security, and CCM.

Who You Are

• 5+ years as a Product Manager with a Software, Solutions, or Systems Engineering background.
• Hands-on PM or Engineering experience with services from major cloud providers or popular open-source technologies (e.g., MongoDB, Kafka, Kubernetes, PostgreSQL).
• Structured and analytical with a rigorous process for prioritizing across a large backlog.
• Intellectually curious and excited about AI infrastructure.
• Strong communicator comfortable holding technical, strategic, and customer conversations.
• Organized at scale with ability to manage many integrations in parallel.