Datadog

Director, Engineering - Cloud Observability

Datadog$296K — $370K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience directly managing Engineering Managers
  • Deep familiarity with cloud providers and large-scale system operations
  • Strong understanding of cloud economics and performance-cost balance
  • Proficiency in integrating AI into engineering practices
  • Proven ability to influence product decisions and strategy
  • Experience with large-scale, event-driven, or data-intensive backend systems
  • Fluency in English for cross-Atlantic collaboration

Responsibilities

  • Own engineering for the Cloud Observability group
  • Manage ~40 engineers through Engineering Managers
  • Shape product roadmap in collaboration with leadership
  • Drive AI adoption in engineering processes
  • Navigate cross-team dependencies across multiple functions
  • Build and retain engineering talent in key cities
  • Mentor Engineering Managers and participate in on-call rotation

Benefits

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development and career pathing
  • Intradepartmental mentor and buddy program
  • Inclusive company culture with Community Guilds participation
  • Access to internal panel discussions focused on inclusion
  • Global mental health benefits for employees and dependents
  • Comprehensive and competitive global benefits package
Full Job Description
Datadog's Cloud Observability group is one of the core data retrieval and processing groups powering our foundational product, Infrastructure Monitoring. The group's scope includes integration with all major hyperscalers (AWS, Azure, GCP, OCI), as well as both regional and GPU-specific cloud providers. As Director, you will own engineering for all clouds, generating more than 10 million metric points per second, managing ~40 engineers through a team of Engineering Managers. You'll partner with Senior Directors and product leadership to shape the roadmap, not just execute against it, managing the growth of one of Datadog's foundational teams.

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

What You'll Do:
  • Own engineering for all of Cloud Observability
  • Manage ~40 engineers through a layer of Engineering Managers; this is a manager-of-managers role
  • Shape the roadmap alongside product leadership rather than simply executing against it - push back on, iterate on, and help author the strategy for your area
  • Drive AI adoption across the engineering org, from tooling and workflows to product features and team practices
  • Navigate cross-team dependencies across the Agent, Telemetry Onboarding, Integrations, Action Platform, and Infrastructure Monitoring.
  • Build and retain engineering talent in NYC, Boston, and Paris, mentor Engineering Managers toward Director readiness, and participate in the on-call rotation

Who You Are:
  • You have directly managed Engineering Managers, not just individual contributors
  • You have deep experience with one or more cloud providers, ideally with experience operating large-scale systems in the cloud.
  • You have a solid understanding of cloud economics, as well as how to balance performance and cost in cloud computing environments.
  • You integrate AI deeply into how you lead and how your teams build, treating AI-first thinking as core engineering practice rather than a feature bolted onto the product
  • You have a track record of shaping product decisions, not just executing against a spec
  • You have worked with large-scale, event-driven or data-intensive backend systems - ingestion pipelines, high-throughput APIs, or time-series/event data at scale
  • You are comfortable operating in English in a cross-Atlantic org, and are based in New York, Boston, or Paris.


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
  • Intradepartmental mentor and buddy program for in-house networking
  • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
  • Access to Inclusion Talks, our internal panel discussions
  • Free, global mental 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:

$296,000-$370,000 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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