Group Product Manager - Containers

Datadog Datadog · Enterprise · New York, NY · Product Management

Product Manager for Datadog's Containers and Live Processes group, focusing on defining vision and strategy. The role involves leading a team of PMs and driving the next generation of products by applying AI/ML to enhance customer understanding, operation, and troubleshooting of containerized systems. Requires experience with B2B SaaS, containers/Kubernetes, team leadership, and AI product fluency.

What you'd actually do

  1. Lead and grow a team of product managers responsible for Datadog’s Containers and Kubernetes product portfolio.
  2. Own the product vision, roadmap, and execution for containers observability, ensuring the products continue to drive meaningful customer value and significant Infra revenue.
  3. Define and drive the next generation of Containers products by applying AI and machine learning to help customers understand, operate, and troubleshoot complex containerized systems automatically.
  4. Co-define and build the next generation of containers and Kubernetes capabilities as part of the Datadog unified platform, deeply integrated with metrics, logs, traces, security, and CI/CD workflows.
  5. Partner closely with engineering leadership to deliver platform-level capabilities that scale across products and customers.

Skills

Required

  • 8+ years of B2B SaaS product management experience
  • 2+ years managing and developing a team of product managers
  • Deep familiarity with containers and Kubernetes ecosystems
  • Proven ability to hire, mentor, and scale high-performing product teams
  • Experience working closely with enterprise customers operating complex, large-scale infrastructure
  • Strong technical background
  • Experience incorporating AI or machine learning into customer-facing products, or strong intuition for where AI can meaningfully improve workflows, decision-making, and automation for infrastructure teams.
  • Comfort working with large-scale data systems and understanding how telemetry, signals, and models can be combined to generate actionable insights.
  • Experience building foundational platform products or shared infrastructure that supports multiple use cases and teams.
  • Strong track record of shipping impactful products by working closely with design and engineering, balancing usability, performance, scale, and trust.
  • Ability to lead complex, cross-team initiatives and align stakeholders across product, engineering, data, and go-to-market functions.

Nice to have

  • AI Product Fluency: Experience incorporating AI or machine learning into customer-facing products, or strong intuition for where AI can meaningfully improve workflows, decision-making, and automation for infrastructure teams.

What the JD emphasized

  • AI Product Fluency: Experience incorporating AI or machine learning into customer-facing products, or strong intuition for where AI can meaningfully improve workflows, decision-making, and automation for infrastructure teams.

Other signals

  • Define and drive the next generation of Containers products by applying AI and machine learning to help customers understand, operate, and troubleshoot complex containerized systems automatically.
  • AI Product Fluency: Experience incorporating AI or machine learning into customer-facing products, or strong intuition for where AI can meaningfully improve workflows, decision-making, and automation for infrastructure teams.
  • Data & Systems Thinking: Comfort working with large-scale data systems and understanding how telemetry, signals, and models can be combined to generate actionable insights.