Director, Engineering - Detection Platform

Datadog Datadog · Enterprise · New York, NY · Leadership

Director of Engineering for Datadog's Detection Platform, leading teams focused on alerting, event management, and AI-powered autonomous detection systems. The role involves defining technical strategy, driving innovation in AI for detection and anomaly identification, and scaling highly available platform systems.

What you'd actually do

  1. Lead a multi-team engineering organization responsible for alerting, event management, monitor creation experiences, and autonomous detection capabilities.
  2. Define and execute the technical and organizational strategy for the Detection Platform while aligning stakeholders across Engineering, Product, Design, and Applied Science.
  3. Drive innovation in AI-powered detection, anomaly identification, and signal generation that helps customers proactively identify and resolve issues.
  4. Scale highly available platform systems that process hundreds of millions of evaluations while maintaining reliability, performance, and operational excellence.
  5. Develop and mentor engineering managers and technical leaders, fostering a culture of execution, collaboration, and technical rigor.

Skills

Required

  • Leading engineering organizations
  • Building large-scale platforms, infrastructure, observability, monitoring, or developer-facing products
  • Technical expertise
  • Product instincts
  • Architectural decision-making
  • Customer needs understanding
  • Business impact understanding
  • Leading leaders and managing engineering managers
  • Defining long-term technical vision
  • Building organizational alignment
  • Delivering complex initiatives
  • Experience with machine learning, AI-enabled products, intelligent automation, or large-scale detection systems
  • Effective communication
  • Inspiring teams
  • Influencing senior stakeholders
  • Navigating ambiguity
  • Driving measurable outcomes

Nice to have

  • Experience working with machine learning, AI-enabled products, intelligent automation, or large-scale detection systems, either directly or through close partnership with specialized teams.

What the JD emphasized

  • AI-powered detection systems
  • autonomous detection capabilities
  • AI-powered detection
  • anomaly identification
  • signal generation
  • large-scale platforms
  • infrastructure
  • observability
  • monitoring
  • developer-facing products
  • architectural decisions
  • machine learning
  • AI-enabled products
  • intelligent automation
  • large-scale detection systems

Other signals

  • AI-powered detection systems
  • autonomous detection capabilities
  • AI-powered detection
  • anomaly identification
  • signal generation