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.
About the job
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
Python, Detection Engineering, Security Operations, Incident Response, SIEM, Threat Hunting, Machine Learning, Ai Systems, Automation, CI/CD
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