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DatadogDatadogNew York, NY

Engineering Manager I, Threat Detection

Lead and grow a team of security and software engineers building AI-accelerated threat detection systems, detection platforms, and automation at scale for Datadog's Security organization.

192k – 240k
HybridEngineering Management

About the role

What You'll Do

  • Lead the strategy, roadmap, and execution of Datadog Security's shift to AI-accelerated detection and response
  • Drive development of high-fidelity detections as a shared responsibility across the organization, ensuring your team's systems and direct contributions raise the bar on coverage and signal quality
  • Build, mentor, and grow a high-performing team of engineers tackling the hardest problems in threat detection at scale
  • Partner with sister teams across Threat Detection and the broader Security organization so your team's deliverables integrate reliably with the rest of the program
  • Define and track program metrics: detection coverage, signal quality, model and agent fidelity, evaluation pass rates, incident response readiness, and your team's measurable contribution to security operations outcomes
  • Evangelize the team's mission inside and outside the Threat Detection organization, communicating progress, tradeoffs, and bets clearly to security leadership and partner teams
  • Collaborate with the AI Engineering teams and other internal AI initiatives to build on shared infrastructure where it makes sense and invest in security-specific tooling where it does not

Who You Are

  • Have worked in a security operations, detection engineering, or incident response role, building tooling and performing investigations and responding to incidents
  • Strong understanding of modern threat actor techniques and the detection engineering lifecycle
  • Technically credible, with the ability to review detection logic, code (e.g., Python), and the architecture of security systems (AI-driven or otherwise)
  • Have built automation systems for security operations workflows: detection platforms, AI-driven detection capabilities, case triage, investigation, response automation, or analyst tooling
  • Prior experience at a SaaS or cloud infrastructure company where security scale and complexity are first-order challenges
  • Operate with both rigor and pragmatism on production quality
  • Experienced people leader with a focus on mentorship, team growth, and inclusion

Nice to Haves

  • Led or sponsored threat hunts that drove lasting improvements in detection coverage
  • Translated security research, threat intelligence, or analyst workflows into engineered systems
  • Designed or operated detection platforms: SIEM pipelines, detection-as-code workflows, CI/CD for security content, or equivalent
  • Built observability for detection systems: instrumentation for coverage and drift, false positive analysis, or silent failure detection
  • Built and shipped agentic or ML systems to production and understand the full lifecycle (data, training, evaluation, deployment, monitoring)
  • Designed safety, guardrails, or human-in-the-loop systems for autonomous AI in security domains

Benefits

  • Generous and competitive benefits package
  • New hire stock equity (RSUs) and employee stock purchase plan
  • Continuous career development and pathing opportunities
  • Employee-focused best in class onboarding
  • Internal mentor and cross-departmental buddy program
  • Friendly and inclusive workplace culture

Skills

PythonDetection EngineeringSecurity OperationsIncident ResponseSIEMThreat HuntingMachine LearningAi SystemsAutomationCI/CD
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