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About the Role
As the Manager, IR / SOC, you will lead the integrated team responsible for Detection Engineering, Security Operations Center (SOC), and Incident Response (IR) across Match Group. Reporting to the Sr. Director of Security Engineering, you will drive the strategic vision of maximizing rapid and accurate threat response capabilities by integrating these three core functions and leveraging AI-driven innovation.
You will own the detection lifecycle end-to-end — from signal engineering and alert tuning through triage, investigation, and incident resolution — while building toward an AI-augmented SOC model that reduces noise, accelerates response, and scales across a global portfolio.
What You'll Do
Lead and develop a high-performing team of SOC analysts, detection engineers, and incident responders operating across multiple time zones with 24/7 coverage
Play a key role in developing the detection engineering framework, contributing to detections-as-code (DaC) via GitOps/CI/CD pipelines for consistency and automated deployment
Drive AI Agentic SOC adoption — evaluate, select, and implement AI-driven triage and investigation tooling to maximize SOC efficiency, reduce false positives, and accelerate initial response speed
Manage the full incident lifecycle — from detection through containment, eradication, recovery, and lessons learned — partnering with Legal, Communications, Privacy, and Engineering teams
Build and refine detection content across the SIEM platform, integrating log sources across all MG brands (Tinder, Hinge, Match, E&E, HPCNT, Eureka, and New Bets)
Establish and track SOC metrics and SLAs, creating dashboards to visualize performance, alert fidelity, and response effectiveness
Coordinate and execute IR tabletop exercises (technical and management-level) across brands to validate readiness and improve playbooks
Partner with the Red Team to validate detection capabilities through adversary simulation and assumed-compromise testing
Collaborate with Platform Security, InfraSec, and AppSec teams to identify and close detection gaps across cloud-native and hybrid environments (AWS, GCP), datacenter infrastructure, endpoints (CrowdStrike), identity (Okta), SaaS, and application layers
Integrate threat intelligence into detection and response workflows to anticipate and proactively defend against emerging threats
Use automation to improve detection and response times and mitigate incident impact
What You'll Bring
Nice to Have
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