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DatadogDatadogBoston, MA

Director, Engineering

Director-level engineering leader to own Cloud Observability at Datadog, managing 40 engineers via managers. Shape product roadmap and strategy for high-scale cloud integrations and data processing (10M+ metric points/sec), drive AI adoption, and build talent across offices.

296k – 370k/yr
Hybrid8+ YOEEngineering Management

About the role

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

Skills

cloud providersAWSAzureGCPlarge-scale systemscloud economicsai integrationevent-driven systemsdata-intensive backendingestion pipelinestime-series data
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