Level

Datadog

Director, Engineering - Digital Experience Monitoring

Datadog is hiring a Director, Engineering - Digital Experience Monitoring in Paris, France. Level rates it ; you can apply on Datadog.

Level's read on this job

  • Uses AI ●●○○ is how Level rates this role: an ordinary role that requires AI tools.
  • The posting allows some remote work.
  • Tools and skills the posting cites include engineering management, distributed systems and observability.
  • Level classifies it as an executive role.
  • Level lists 432 other open roles at Datadog.

AI in this role

Lead engineering teams across Digital Experience Monitoring products and drive AI adoption across engineering tooling and workflows at Datadog in Paris.

engineering-managementdistributed-systemsobservabilityai-adoptionbackend-systems

Datadog's Digital Experience Monitoring (DEM) group is one of the company's fastest-growing product areas, spanning Real User Monitoring (RUM), Product Analytics, Synthetic Monitoring, Feature Flags, and Datadog Studio, our newest AI-native observability surface. As Director, you will own engineering for one or more of these product areas, with scope shaped by your background and interests, and you will manage 50-60 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, and you'll help drive AI adoption across engineering tooling, workflows, and product features. This role is based in Paris, one of Datadog's most established engineering hubs, with a clear growth path to Senior Director for the right candidate.

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 one or more DEM product areas with scope calibrated to your background and strengths
  • Manage 50-60 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 DEM, APM, Core Platform, AI Platform, and Data Science
  • Build and retain engineering talent in 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 — this is a non-negotiable requirement for the role
  • 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've worked with large-scale, event-driven or data-intensive backend systems — ingestion pipelines, high-throughput APIs, or time-series/event data at scale
  • You bring full-stack or frontend-adjacent experience; DEM is an SDK-heavy, browser- and mobile-facing product group
  • You're comfortable operating in English in a cross-Atlantic org, and are based in Paris or open to relocating there (French is not required)

 

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

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.

How we rate this

Director, Engineering - Digital Experience Monitoring at Datadog rates 50 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Engineering ManagementDistributed SystemsObservabilityAI AdoptionBackend Systems

Questions you could be asked

  1. Tell me about a project where engineering management was part of your work. What did you do?
  2. Tell me about a project where distributed systems was part of your work. What did you do?
  3. Tell me about a project where observability was part of your work. What did you do?
  4. Tell me about a project where ai adoption was part of your work. What did you do?
  5. Tell me about a project where backend systems was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Engineering Management, Distributed Systems, Observability, AI Adoption, and Backend Systems. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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