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 parallel without losing visibility into any of them. You build lightweight systems to track status, adoption, and customer signals across a broad portfolio.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. 

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. 

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.