Senior Product Manager, Agent Integrations

Datadog

Hybrid

Quick summary

Work type
Hybrid
Location
—
Salary
$192,000–$240,000 / yr
Posted
1 day ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $203k
This role $216k
$155k most similar roles pay here $252k

This role pays more than 64% of similar roles. Most pay $173,912–$231,812 — the shaded band above. At the midpoint, this role pays about $216k versus about $203k for comparable roles.

Based on 240 similar postings.

Employer

About Datadog

Datadog, Inc. is an American company that provides an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform.

Datadog currently has 130 open roles on FindRole.

Listed pay typically runs $187,000–$240,000 across 65 roles with salary data.

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At a glance

TL;DR · Senior Product Manager, Agent Integrations

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As a Senior Product Manager on Datadog's Agent Integrations team, you will lead the vision and execution for over 100 integrations within the Datadog Agent, covering foundational infrastructure technologies like MySQL, Kafka, and Kubernetes, as well as emerging AI-native workloads. Your day-to-day involves driving product strategy for self-hosted AI frameworks, expanding coverage of on-premises enterprise platforms, and building observability for ERP systems. You will leverage data analytics to prioritize improvements, collaborate across functions including engineering and sales, and engage directly with customers to resolve dependencies and accelerate delivery. The role requires expertise in cloud and open-source ecosystems, a technical background, and strong analytical skills to manage a broad portfolio of integrations effectively.

Skills

Kubernetes MongoDB PostgreSQL Hadoop SAP Oracle EBS/Fusion Microsoft Dynamics CI/CD Docker AWS Azure GCP Prometheus Datadog Python GraphQL Linux Git Terraform GitHub

What you'll do

  • Own the Agent Integrations roadmap for over 100 technologies.
  • Drive product strategy for AI-native workload integrations in Datadog.
  • Expand coverage of on-prem and hybrid technology integrations.
  • Build observability solutions for enterprise ERP systems.
  • Analyze customer feedback to prioritize high-value integration improvements.

What we're looking for

  • 5+ years of experience as a Product Manager with a technical background in software, solutions, or systems engineering.
  • Deep hands-on PM or Engineering experience with major cloud providers and popular open-source technologies like MongoDB, Kafka, Kubernetes, PostgreSQL.
  • Proven ability to prioritize across large backlogs using structured analysis of adoption data, customer feedback, and market trends.
  • Strong intellectual curiosity for emerging technology spaces, particularly AI infrastructure observability.
  • Excellent communication skills to engage effectively with engineers, VPs, and customers at various levels.
  • Ability to manage multiple integrations simultaneously while maintaining visibility into each project's status, adoption, and customer signals.

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