Where is the Senior Product Manager - Fleet and Lifecycle Management role at Datadog located?

The Senior Product Manager - Fleet and Lifecycle Management position at Datadog is based in Boston, Massachusetts, USA; New York, New York, USA; Boston, MA, United States; New York, NY, United States. This is a hybrid position.

What experience is required for the Senior Product Manager - Fleet and Lifecycle Management role at Datadog?

The Senior Product Manager - Fleet and Lifecycle Management position at Datadog requires 5+ yrs exp.

What skills are required for the Senior Product Manager - Fleet and Lifecycle Management role at Datadog?

Key skills for the Senior Product Manager - Fleet and Lifecycle Management position at Datadog include: kubernetes.

DatadogJul 28, 2026

Senior Product Manager - Fleet and Lifecycle Management

USD 192k+/yr·Boston, Massachusetts, USA; New York, New York, USA; Boston, MA, United States; New York, NY, United States·Hybrid·5+ yrs exp

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Datadog is looking for a Senior Product Manager to help lead the evolution of our fleet and lifecycle management capability, the product surface that gives customers visibility into, and control over, the observability software running across their infrastructure.

This capability manages the deployment lifecycle for core observability agents and OpenTelemetry collectors running on customer hosts and containers. The Senior PM will expand the scope of fleet capability to additional Datadog software components, making it the single place customers go to see everything running in their environment, at any version, in any deployment model, and to manage it remotely and safely at scale, for both human operators and, increasingly, AI agents acting on their behalf.

This is a high-visibility, cross-functional role. You'll partner with multiple engineering teams and be responsible for defining and delivering a coherent, unified fleet experience across UI, API, and MCP for customers.

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

Own and evolve the product vision and roadmap for a unified fleet and lifecycle management capability spanning multiple product lines and deployment models.
Define what "managed" means for each new software component as it's brought into fleet, balancing consistency of experience with the realities of each component's operational model.
Drive a phased expansion plan, sequencing new components into fleet based on customer value, technical complexity, and dependency readiness.
Partner closely with engineering leads across several teams to align on shared architecture principles to support disparate software components.
Represent the voice of the customer for a capability that must work equally well for human operators using a UI and for AI agents/automated tooling operating programmatically.
Build the business case, define success metrics, and communicate roadmap and trade-offs to engineering, design, sales, and executive stakeholders.
Stay closely connected to customers and design partners to validate priorities and de-risk major roadmap bets.

Who You Are:

5+ years of product management experience, with a track record of owning complex, technical, cross-product capability.
Experience shipping infrastructure, DevOps, IT operations, or observability/monitoring products, ideally involving fleet management, configuration management, or software lifecycle/deployment tooling.
Demonstrated ability to build product direction across multiple engineering teams with differing priorities, and to drive alignment without direct authority.
Comfort operating in ambiguity, defining scope and sequencing capabilities that deliver customer value incrementally.
Strong technical fluency; you don't need to write code, but you should be comfortable discussing architecture trade-offs with engineers.
Experience designing products for emerging AI-agent/automation use cases is a strong plus.
Excellent written and verbal communication skills; you can distill a sprawling, multi-team initiative into a clear narrative for different audiences.
Bachelor's degree or equivalent practical experience.

Bonus Points

Experience with Kubernetes-based deployment models and operator patterns.
Experience with remote configuration or feature-flagging infrastructure at scale.
Familiarity with BYOC (bring-your-own-cloud) or customer-hosted software deployment models.

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
An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
Free, global Spring Health benefits for employees and dependents age 6+
Competitive global benefits and giving programs

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:

$192,000—$240,000 USD

About Datadog:

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.

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.

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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.