Datadog

Senior Product Manager - Fleet and Lifecycle Management

Datadog$192K — $240K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of product management experience focusing on complex, technical platform-level products.
  • Experience in shipping infrastructure or observability products, preferably with fleet/lifecycle management.
  • Proven ability to build consensus across multiple engineering teams with varying priorities.
  • Comfortable defining scope and delivering customer value in ambiguous situations.
  • Strong technical fluency for discussing architecture trade-offs with engineers.
  • Experience with AI-agent/automation use cases is a plus.
  • Excellent communication skills for articulating complex initiatives to diverse audiences.
  • Bachelor's degree or equivalent practical experience.

Responsibilities

  • Own and evolve the product vision for a unified fleet management platform.
  • Define 'managed' for new software components, balancing user experience with operational needs.
  • Drive a phased plan for expanding platform components based on customer value and complexity.
  • Collaborate with engineering leads to align architecture principles across teams.
  • Voice of the customer representation for both human and AI operator experiences.
  • Build business cases and define metrics for stakeholder communication on trade-offs.
  • Engage with customers and design partners to validate priorities and de-risk roadmap decisions.

Benefits

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP).
  • Continuous professional development and career pathing.
  • Inclusive company culture with Community Guilds for employee engagement.
  • Free global Spring Health benefits for employees and their dependents.
  • Competitive global benefits and giving programs.
Full Job Description
About the Role

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

This platform manages the deployment lifecycle for core observability agents and OpenTelemetry collectors running on customer hosts and Kubernetes clusters. The Senior PM will expand the scope of the platform to additional 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 platform experience across UI, API, and MCP for customers.
What You'll Do
  • Own and evolve the product vision and roadmap for a unified fleet and lifecycle management platform spanning multiple product lines and deployment models.
  • Define what "managed" means for each new software component as it's brought into the platform, balancing consistency of experience with the realities of each component's operational model.
  • Drive a phased expansion plan, sequencing new components onto the platform 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 platform 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.
What We're Looking For
  • 5+ years of product management experience, with a track record of owning complex, technical, platform-level products.
  • 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.
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.

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 a monitoring and analytics platform for cloud-scale infrastructure and applications. The company was founded in 2010 by Olivier Pomel and Alexis Lê-Quôc and is headquartered in New York City. Datadog's platform assists organizations in improving agility, increasing efficiency, and providing end-to-end visibility across dynamic or high-scale infrastructures. The company's SaaS-based data analytics platform integrates and automates infrastructure monitoring, application performance monitoring, and log management to provide unified, real-time observability of customers' entire technology stack. Datadog's customers include Airbnb, Twilio, and The Washington Post.
Learn more about Datadog
Size
3,200 employees
Market Cap
$22.5 billion
Industry
Net Income
-$24.5 million
Founded
2010
Revenue
$603.4 million
NASDAQ

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