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Datadog

Group Product Manager - Containers

Posted Yesterday
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Easy Apply
Hybrid
New York, NY
234K-300K Annually
Senior level
Easy Apply
Hybrid
New York, NY
234K-300K Annually
Senior level
Lead and grow a product management team owning Datadog's Containers and Kubernetes portfolio. Define vision, roadmap, and execution for container observability, platform capabilities, AI/ML-driven features, and cross-product workflows while partnering with engineering, GTM, and customer teams.
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At Datadog, we're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at massive scale—trillions of data points per day—enabling seamless collaboration and problem-solving across Dev, Ops, and Security teams for tens of thousands of customers worldwide. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.

The Containers product group sits at the core of Datadog’s Infrastructure business and powers a significant portion of Datadog’s revenue. As modern infrastructure continues to shift toward Kubernetes and containerized workloads, this group is responsible for helping customers operate, secure, and optimize their most critical production environments—reliably and at scale.

In this role, you will define the long-term vision and strategy for Datadog’s Containers & Live processes products, spanning Kubernetes observability, container runtime visibility, workload health, and the operational workflows that infrastructure teams rely on every day. You will lead a team of product managers building foundational platform capabilities used by thousands of customers running mission-critical workloads in production.

At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do: 

  • Lead and grow a team of product managers responsible for Datadog’s Containers and Kubernetes product portfolio.
  • Own the product vision, roadmap, and execution for containers observability, ensuring the products continue to drive meaningful customer value and significant Infra revenue.
  • 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.
  • 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.
  • Partner closely with engineering leadership to deliver platform-level capabilities that scale across products and customers.
  • Collaborate with other Datadog product teams (APM, Logs, Network, Cloud, Security, Serverless) to improve cross-product workflows and help customers troubleshoot faster and operate with confidence.
  • Work with go-to-market, sales, customer success, and support teams to shape positioning, packaging, and launch strategies for new Containers features.
  • Represent Containers product strategy internally and externally, helping align leadership around priorities and long-term bets.

Who You Are: 

  • Experience: 8+ years of B2B SaaS product management experience, with 2+ years managing and developing a team of product managers.
  • Domain Expertise: Deep familiarity with containers and Kubernetes ecosystems, including how modern infrastructure teams build, deploy, and operate production workloads.
  • Leadership: Proven ability to hire, mentor, and scale high-performing product teams while setting clear direction and expectations.
  • Customer Partnership: Experience working closely with enterprise customers operating complex, large-scale infrastructure.
  • Technical Credibility: Strong technical background that enables effective collaboration with senior engineers and earns trust with highly technical customers.
    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.
  • Platform Thinking: Experience building foundational platform products or shared infrastructure that supports multiple use cases and teams.
  • Product Craft: Strong track record of shipping impactful products by working closely with design and engineering, balancing usability, performance, scale, and trust.
  • Cross-Functional Influence: Ability to lead complex, cross-team initiatives and align stakeholders across product, engineering, data, and go-to-market functions.

Datadog values people from all walks of life. We know 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 experience, we encourage you to apply. 

Benefits & Growth:

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • Intra-departmental mentor and buddy program for in-house networking
  • An inclusive company culture, ability to join our Community Guilds
  • Access to Inclusion Talks, our Internal panel discussions
  • Free, global Spring 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.

#LI-Hybrid

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:
$234,000$300,000 USD

About Datadog: 

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

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. 

Privacy and AI Guidelines:

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.

Top Skills

Kubernetes,Containers,Datadog,Ai,Machine Learning,Metrics,Logs,Traces,Ci/Cd,Apm,Serverless,Network
HQ

Datadog New York, New York, USA Office

We are located in the New York Times building and five-minute walk away from Times Square. The 42 St Port Authority Bus Terminal is right across the street, providing a highly accessible transportation network.

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