Drimva

Zscaler

Manager, MDR & Threat Hunting

$144K–$205K

Bellevue, Washington, USA +5 · Remote · Manager · Full-time · Posted Sep 30, 2026

Location
Bellevue, Washington, USA
Remote - USA
Santa Clara, California, USA
USA - Update Location
Remote - Colorado, USA
Remote - USA

About the job

Leads a customer-facing team of threat hunters and MDR responders, overseeing service quality, customer relationships, investigations, and executive communications.

What you'll do

  • Build and develop the team, including hiring, performance management, technical skills development, and career progression.
  • Escalate and guide customer teams during intrusions, investigations, hunts, and critical service issues; communicate clearly with executives.
  • Manage customer engagements and set quality standards for MDR and Managed Threat Hunting deliverables.

What they ask for

  • Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions in the functional domain.
  • Understand threat actor TTPs aligned with MITRE ATT&CK and detection/response opportunities for EDR and Web Proxies.
  • Proficiency in two or more EDR platforms, including writing detections and responding to EDR detections.
  • Experience managing customer-facing deliverable teams and executive stakeholder communication; proficiency in detection and response using network and/or Web Proxy telemetry.

Nice to have

  • Experience using AI technologies and workflows to drive measurable operational efficiency; prior people-leadership experience at an MDR or security vendor.
  • Certifications such as GIAC GCIH, GCFA, GNFA, GDAT, OffSec Threat Hunter (OSTH / TH-200), eCTHP, CDETH or similar; experience creating technical reports, white papers, and presentations.

Pay

$143,500 — $205,000 USD base salary

Tools

AI/ML, MITRE ATT&CK, EDR, Web Proxies, Zscaler

AI focus

Requires foundational AI/ML understanding and experience leveraging, securing, or positioning AI-driven solutions; preferred experience using AI technologies and workflows to improve operational efficiency.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)