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
Lead a team of 8-9 engineers building Datadog's serverless APM experience, including auto-instrumentation, distributed tracing for cloud-managed services across AWS, Azure, and GCP, and OpenTelemetry support. Requires strong engineering management experience, passion for developer experience, and comfort across multiple languages and cloud runtimes.
192k – 240k
Hybrid5+ YOEEngineering Management
Manager I, Engineering
DatadogNew York, NY
Engineering Manager leading squads building Datadog's Experimentation App. Own delivery, technical direction, and team growth for full-stack/frontend engineers while partnering with statisticians, PMs, and customers to ship features in a fast-paced environment.
192k – 240k
On-site5+ YOEEngineering Management
Engineering Manager, Mobile
CalendlyUnited States
Engineering Manager leading mobile and scheduling product teams at Calendly. Responsibilities include people management, technical guidance on distributed systems, cross-functional roadmap delivery, hiring, mentoring, and driving AI tool adoption. Requires 5+ years development experience and 3+ years managing engineering teams.
194k – 282k
Remote5+ YOEEngineering Management
Engineering Manager, Managed Credentials
1PasswordUnited States
Engineering Manager to lead a high-visibility team building Managed Credentials and MSP features into 1Password's enterprise password manager. Guide fullstack development, set technical vision, drive execution and scaling, coach engineers, and recruit talent in a remote environment.
190k – 278k
Remote5+ YOEEngineering Management
Engineering Manager, R&D
CommureMountain View, CA
Lead and grow an R&D engineering team building AI-native healthcare platforms. Own technical execution from research to production, manage resources, and coach engineers on backend and frontend systems.