Detection & Response Engineering Manager, Beyond Finance

• 7+ years in security operations, detection, or incident response
• You can take a broad roadmap and prioritize independently, breaking the big picture into concrete, sequenced work for you and the team
• You write your own scripts and build detection logic as code
• A track record of taking projects from prototype to production, including the architecture and the hands-on build
• Depth in SIEM, EDR, and SOAR; we use Datadog Cloud SIEM, ingesting logs from across our platforms, including AWS
• Experience mentoring or leading engineers or analysts; formal management tenure is not required
• You can identify which KPIs apply where and set acceptable thresholds for each, across measures such as detection coverage, false-positive rate, MTTR, and automation rate

Desirable

• You'll own detection and response for our environment: monitoring, triage, and incident response across our SaaS applications, user workstations, and AWS
• You'll stay hands-on, coaching and growing the team while working in the detections, pipelines, and investigations yourself
• You're inheriting an established function with room to mature, and a mandate to build: as we bring automation and AI into security operations, you'll take new capabilities from idea to production
• Security operations: monitoring, triage, and incident response across our SaaS applications, user workstations, and AWS, including signals from insider risk. You lead the response when an incident is confirmed, and you share the team's on-call rotation
• Detection engineering: own the detection lifecycle, write, tune, and retire detections, map coverage to MITRE ATT&CK, and reduce false positives
• Logging pipeline: ingest, normalize, enrich, and route security telemetry through APIs and connectors
• Detection-as-code: move the team's detections into version control with testing and peer review, the way we already manage cloud and policy as code
• New capabilities: stand up net-new detection and response platforms and capabilities, owning them from architecture through production
• Automation and AI in the SOC: apply them to triage, alert summarization, workflow orchestration, and response recommendations, keeping a human in the loop. Turn repetitive work into reusable tooling
• Reporting: brief security and IT leadership on incidents, detection coverage, and program maturity