DatadogOfficial careers listing

Posted 1mo ago

Senior Product Manager - Fleet and Lifecycle Management

Pay

USD 192,000–240,000

Location

Boston, Massachusetts, USA; New York, New York, USA

On site

Skills this role screens for

APIKubernetesCloudSecurityProduct managementCommunicationAutomation

Opens on Datadog's site. Sign in first and we keep it in your pipeline.

Still studying?Cloud computing internships in the United States open now

Responsibilities

What you'll do

  • Own and evolve the product vision and roadmap for unified fleet and lifecycle management capability.
  • Define 'managed' for new software components within the fleet, balancing consistency with operational realities.
  • Drive a phased expansion plan, sequencing new components into the fleet based on value, complexity, and readiness.
  • Partner with engineering leads across several teams to align on shared architecture principles.
  • Represent the voice of the customer for human operators and AI agents/automated tooling.
  • Build business cases, define success metrics, and communicate roadmap to stakeholders.
  • Stay connected to customers and design partners to validate priorities and de-risk roadmap bets.

Requirements

What they're looking for

  • 5+ years of product management experience owning complex, technical, cross-product capability.
  • Experience shipping infrastructure, DevOps, IT operations, or observability/monitoring products.
  • Experience with fleet management, configuration management, or software lifecycle/deployment tooling.
  • Demonstrated ability to build product direction across multiple engineering teams and drive alignment.
  • Comfort operating in ambiguity, defining scope and sequencing capabilities incrementally.
  • Strong technical fluency; comfortable discussing architecture trade-offs with engineers.
  • Excellent written and verbal communication skills; can distill multi-team initiatives into clear narratives.

Qualifications

What you'll need

  • Bachelor's degree or equivalent practical experience.

Nice to have

What would help

  • Experience designing products for emerging AI-agent/automation use cases.
  • Experience with Kubernetes-based deployment models and operator patterns.
  • Experience with remote configuration or feature-flagging infrastructure at scale.
  • Familiarity with BYOC or customer-hosted software deployment models.
Full description from the employer

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. 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.

Datadog

Found on the web. You apply on the company's own site

Where this listing comes from

From Datadog's own careers system (Greenhouse).

insiderOne never charges students to apply. Never pay anyone for an internship. Check an offer you received

Prove API first

This role screens for API. Sit a ten-minute live challenge, get a signed receipt, and the employer sees it verified on your application instead of claimed.

Prove it, then apply

Ask about this role

SCOUT, an AI agent, not a person, answers from this ad, and says so when the ad doesn't cover it. No account, and nothing you type here is kept.

More product roles

Every product role here

insiderOne University

Get certified for roles like this: Associate Product Manager

Free, about 2 hours, ending in a project a person reviews and a certificate any employer can check. Put it on this application and every one after it.

Start the certificationWhat is in it

Interned at Datadog? Report what it paid

From the Wire Desk