The opportunity
As Engineering Manager for Threat Detection, you will lead a high-performing team that powers Datadog's detection program. Threat Detection is the organization responsible for keeping Datadog ahead of an evolving threat environment: closing coverage gaps faster, raising the bar…
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.
What they're looking for
- 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.
- You 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).
