Manager, Platform Professional Services (remote)

CrowdStrike CrowdStrike · Enterprise · CA +1 · Remote

Manager for CrowdStrike's AI Detection & Response (AIDR) and Falcon Platform Operational Services teams. This role involves building and leading a team focused on implementing and supporting AI-powered security solutions, including AI-driven alerts, automated response, and adversarial AI use cases within customer environments. The manager will also work cross-functionally with product and engineering teams and mentor team members on AI/ML-driven security operations.

What you'd actually do

  1. Build and grow a team that helps customers operationalize and support AIDR and the broader CrowdStrike Falcon platform, including analyzing and investigating AI-driven alerts and detections within the customer SOC environment
  2. Provide hands-on, tactical support to team members to help them deliver high-quality services to our most strategic customers across AIDR and the Falcon platform
  3. Deliver directly to customers and partners technical implementation, configuration, and troubleshooting assistance with AIDR capabilities and the Falcon platform
  4. Build, operationalize, and curate Services offerings for CrowdStrike Platform Professional Services teams, with a focus on AI-driven detection and response use cases
  5. Work cross-functionally with CrowdStrike product, engineering, and go-to-market teams to ensure successful delivery outcomes

Skills

Required

  • 7+ years of professional experience in professional services
  • 4+ years of experience in technology and/or SOC leadership managing a team of direct reports
  • 4+ years of experience in security operations, detection engineering, or incident response with exposure to AI/ML-driven detection and response platforms or SIEM/SOAR solutions
  • Experience with a broad range of SaaS technologies across EDR, SIEM, IAM, Vulnerability Management, Asset Management, SOAR, and AI-driven security tooling
  • Applied knowledge of infrastructure services and applications hosted in AWS, GCP, and Azure and traditional on-prem IT environments
  • Familiarity with AI/ML concepts as applied to cybersecurity, including behavioral analytics, anomaly detection, and automated response orchestration
  • Experience working with software development projects and field engineering teams
  • Experience working with pre-sales teams on technical scoping and requirements building
  • A proven leader with the ability to inspire, lead, and mentor a high-performing organization, with the ability to establish strong cross-functional relationships to work collaboratively
  • Excellent communication, interpersonal, and collaborative skills
  • Strong business acumen and ability to exercise good judgment, discretion, and maintain confidentiality
  • Very knowledgeable on Windows, Mac, and Linux platforms

Nice to have

  • Experience with behavioral analytics, ML model tuning, automated triage, and AI-assisted threat hunting
  • PowerShell
  • Python
  • Bash
  • Terraform
  • Experience with Host based firewall, File Integrity Management, Data Protection, Vulnerability Management, Attack Surface Management, IT Automation
  • CIS Benchmarks
  • STIGs
  • PCI
  • HIPAA
  • SIEM
  • MSSQL
  • Splunk
  • LogScale
  • LogRhythm
  • Exabeam
  • Crucible
  • Active Directory
  • Azure-AD
  • SSO
  • MFA
  • AWS
  • Azure
  • GCP
  • Oracle

What the JD emphasized

  • AI-powered detection
  • automated response workflows
  • adversarial AI use cases
  • AI-driven detection and response use cases
  • AI/ML-driven security operations
  • emerging AI capabilities

Other signals

  • AI-powered detection
  • automated response workflows
  • adversarial AI use cases
  • AI/ML-driven security operations
  • emerging AI capabilities