Engineering Manager I, Threat Detection

Polluxa, Inc.; New York (NY); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Datadog is seeking an Engineering Manager for Threat Detection to lead a high-performing team responsible for AI-accelerated detection and security operations at scale. You will own strategy, roadmap, and delivery, partnering with SIRT, CTI, and AI Engineering to raise signal quality and coverage while growing your engineers’ capabilities.

This hybrid role offers the chance to translate complex detection challenges into robust systems and scalable detection platforms, shaping the future of

Qualifications

• Proven track record leading high-performing security/engineering teams.
• Experience building and scaling detection platforms and AI-enabled systems.
• Ability to define strategy, roadmaps, and success metrics for security programs.

Responsibilities

• Lead the strategy, roadmap, and execution of AI-accelerated detection and response for Datadog Security.
• Drive development of high-fidelity detections across the organization.
• Build, mentor, and grow a team of engineers tackling threat detection at scale.
• Partner with Threat Detection, SIRT, CTI, and AI Engineering to integrate deliverables.
• Define and track program metrics: coverage, signal quality, model fidelity, and incident readiness.
• Evangelize the mission to security leadership and partner teams.
• Collaborate to build shared infrastructure and security-specific tooling.

Skills

Leadership

Threat detection

AI engineering

Security

Team building

Roadmap planning

Cross-functional collaboration

Job description

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 on signal quality, and shipping detections that hold up under the scale and complexity of cloud-native infrastructure.

Your team will combine direct detection expertise, platform engineering, and applied AI to ship detections at a pace and scale traditional rule-writing alone cannot match. Examples of what your team will work on include detection-authoring agents, the detection platform that powers every rule in production, coverage analysis, alert triage and response automation, and the evaluation infrastructure that holds these systems to a high bar of fidelity. Detection authorship is a shared responsibility across the organization, and your team will contribute both by building the systems that scale our authoring capacity and by writing detections directly when their domain expertise is the right tool.

You will partner closely with our Security Incident & Response Team (SIRT), Cyber Threat Intelligence (CTI), AI Engineering teams, and Datadog's broader Security organization. This is a high-impact leadership role: you will grow a team of security and software engineers responsible for building and executing our detection and AI strategy. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

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.