Director, Engineering - Digital Experience Monitoring

DataDog
Paris
Workplace: HybridFull timeFunction: Executive & General ManagementSkills: ["Leadership","Roadmap shaping","Mentoring","Talent retention","Cross-team collaboration"]

Own engineering for Datadog’s Digital Experience Monitoring (DEM) product areas including RUM, Product Analytics, Synthetic Monitoring, Feature Flags, and Datadog Studio. Lead a manager-of-managers team overseeing 50–60 engineers, shape the roadmap with product leadership, and drive AI adoption across engineering tooling, workflows, and product features. Partner across DEM, APM, Core Platform, AI Platform, and Data Science, while building and retaining talent in Paris.

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DataDog
DataDog
1 month ago

Director, Engineering - Digital Experience Monitoring

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Own engineering for Datadog’s Digital Experience Monitoring (DEM) product areas including RUM, Product Analytics, Synthetic Monitoring, Feature Flags, and Datadog Studio. Lead a manager-of-managers team overseeing 50–60 engineers, shape the roadmap with product leadership, and drive AI adoption across engineering tooling, workflows, and product features. Partner across DEM, APM, Core Platform, AI Platform, and Data Science, while building and retaining talent in Paris.
Location: Paris
Workplace: Hybrid
Employment Type: Full time
Job Function: Executive & General Management
Seniority: Director level

Key Responsibilities

  • •Own engineering for one or more DEM product areas with scope calibrated to background and strengths
  • •Manage 50–60 engineers through Engineering Managers as a manager-of-managers leader
  • •Shape the DEM roadmap alongside product leadership, iterating on strategy and authoring plans
  • •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

Pay and Benefits

Perks:RsusEsppHealth InsuranceLearning Budget

Key Requirements

  • •Directly managed Engineering Managers (not just individual contributors)
  • •Integrate AI deeply into how you lead and how teams build, treating AI-first thinking as core engineering practice
  • •Have a track record shaping product decisions, not only executing against specs
  • •Experience with large-scale event-driven or data-intensive backend systems such as ingestion pipelines, high-throughput APIs, or time-series/event data at scale
  • •Comfort operating in English and based in Paris or open to relocating there
Experience:ObservabilityAI-nativeBackend systems
Skills:LeadershipRoadmap shapingMentoringTalent retentionCross-team collaboration
Languages:English

Company Brief

DataDog
Provides a cloud-native monitoring and observability platform that unifies metrics, traces, logs, and security signals to help engineering, operations, and security teams monitor and troubleshoot modern applications and infrastructure.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2010
Glassdoor
Glassdoor: 4.1
WebsiteLinkedIn