Datadog

Senior Product Manager - Agent Integrations

Datadog$192K — $240K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience as a Product Manager in software, solutions, or systems engineering.
  • Hands-on experience with cloud services and popular open-source technologies like MongoDB, Kafka, and Kubernetes.
  • Strong analytical skills for prioritizing extensive backlogs based on adoption data and customer feedback.
  • Intellectually curious about new technologies, especially in AI infrastructure.
  • Effective communicator adept at engaging with diverse stakeholders.
  • Highly organized, managing multiple integrations without losing oversight.

Responsibilities

  • Own the Agent Integrations roadmap, balancing customer needs and engineering capacity for 100+ integrations.
  • Lead product strategy for AI workloads, ensuring visibility across customer AI stacks.
  • Prioritize and execute on-prem integrations for critical customer technologies.
  • Drive the strategy for monitoring ERP systems, including SAP and Oracle, integrating them into Datadog's suite.
  • Analyze adoption data to inform integration strategies and prioritize high-value improvements.
  • Collaborate cross-functionally to deliver integrations and support go-to-market strategies.
  • Engage with customers and partners to clarify requirements and accelerate integration delivery.

Benefits

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP).
  • Continuous professional development and career pathing opportunities.
  • Intradepartmental mentor and buddy program to enhance networking.
  • Inclusive company culture with Community Guilds for employee resource groups.
  • Access to internal panel discussions on diversity and inclusion.
  • Global mental health benefits for employees and their dependents.
  • Comprehensive competitive global benefits package.
Full Job Description
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.

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, 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.

Who You Are:
  • 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.

Benefits and Growth:
  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • Intradepartmental mentor and buddy program for in-house networking
  • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
  • Access to Inclusion Talks, our internal panel discussions
  • Free, global mental health benefits for employees and dependents age 6+
  • Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is:

$192,000-$240,000 USD

About Datadog

Datadog is a monitoring and analytics platform for cloud-scale infrastructure and applications. The company was founded in 2010 by Olivier Pomel and Alexis Lê-Quôc and is headquartered in New York City. Datadog's platform assists organizations in improving agility, increasing efficiency, and providing end-to-end visibility across dynamic or high-scale infrastructures. The company's SaaS-based data analytics platform integrates and automates infrastructure monitoring, application performance monitoring, and log management to provide unified, real-time observability of customers' entire technology stack. Datadog's customers include Airbnb, Twilio, and The Washington Post.
Learn more about Datadog
Size
3,200 employees
Market Cap
$22.5 billion
Industry
Net Income
-$24.5 million
Founded
2010
Revenue
$603.4 million
NASDAQ

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