Manager, Cyber Risk Management - Cyber Defense Engineering & AI

Remote • Posted 3 hours ago • Updated 3 hours ago
Full Time
No Travel Required
Remote
$150,000 - 250000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AI
  • Azure
  • python
  • SIEM
  • SOAR
  • incident response
  • threat forensics
  • analytics automation

Summary

Job Type: Full-Time

Job Location: Remote

Our client is seeking a Manager, Cyber Risk Management to lead the engineering and continued evolution of enterprise cyber defense capabilities. This is a highly technical leadership role focused on building the platforms, architecture, data, analytics, automation, and AI capabilities that enable modern threat detection and response.

The ideal candidate is not simply a SOC operations leader. We are looking for a cybersecurity engineering leader who understands how to architect, implement, integrate, and automate security technologies across SIEM, SOAR, EDR, NDR, cloud, endpoint, and on-premises environments — and who can apply AI/ML to fundamentally improve how a security organization detects, investigates, and responds to threats.

You will lead a team of approximately six technical professionals and own the strategy and roadmap for cyber defense engineering capabilities.

What You'll Do

  • Lead and develop a team responsible for cyber defense platforms, detection engineering, security analytics, automation, and security engineering.
  • Define and execute the technology roadmap for modern, scalable, and resilient cyber threat management capabilities.
  • Architect and implement solutions across SIEM, SOAR, EDR, NDR, IPS, cloud security, endpoint security, and security analytics platforms.
  • Drive the evolution of security operations through automation, orchestration, AI, and machine learning.
  • Identify opportunities to integrate AI/ML into the cyber defense architecture, including threat detection, investigation, triage, analytics, response, and security automation.
  • Develop capabilities that move beyond simply using AI tools toward integrating AI into the underlying security infrastructure, data, platforms, and workflows.
  • Evaluate and implement agentic and deterministic automation to improve investigation and response capabilities.
  • Build and improve security data and analytics capabilities that enable high-quality threat detection and actionable intelligence.
  • Partner with Incident Response, Security Operations, Enterprise Architecture, Cloud, Infrastructure, and other technology teams to design and implement security capabilities.
  • Support cyber threat investigations, threat hunting, forensic analysis, and incident response through engineering and platform capabilities.
  • Ensure security platforms are scalable and resilient across Azure/cloud, on-premises infrastructure, and endpoint environments.
  • Use Python and other scripting/automation technologies to develop security engineering and automation capabilities.
  • Translate cybersecurity strategy and business risk objectives into actionable engineering roadmaps.
  • Establish metrics and performance indicators to measure the effectiveness of cyber defense capabilities and identify opportunities for continuous improvement.
  • Mentor engineers and develop expertise in emerging cybersecurity technologies, AI-enabled defense, automation, and modern threat detection.
  • Evaluate emerging technologies and determine where AI, ML, automation, and orchestration can provide measurable improvements to cyber defense.

What We're Looking For

  • 8+ years of progressive experience in cybersecurity, cyber defense, security engineering, cyber risk management, or related disciplines.
  • At least 1 year of technical leadership or people management experience; 3+ years of leadership experience preferred.
  • Strong background in cybersecurity engineering and security platform architecture.
  • Experience leading or managing technical teams, ideally including a team of approximately 5–10 engineers.
  • Deep experience with one or more enterprise security platforms such as:
    • SIEM
    • SOAR
    • EDR/XDR
    • NDR
    • IPS
    • Security analytics platforms
  • Strong understanding of detection engineering, threat detection, security automation, orchestration, and incident response.
  • Experience with security investigations, threat analysis, threat hunting, and/or digital forensics.
  • Strong experience with Azure and cloud security environments, with an understanding of hybrid/on-premises security architecture.
  • Hands-on experience with Python, scripting, or security automation development.
  • Experience designing and implementing security architectures rather than simply administering or consuming security products.

AI / Machine Learning Experience

A critical component of this position is the ability to understand how AI and machine learning can be engineered into a cyber defense organization.

We are particularly interested in candidates who have:

  • Designed or implemented AI/ML-driven cybersecurity capabilities.
  • Integrated AI/ML into SIEM, SOAR, security analytics, detection, investigation, or response workflows.
  • Used AI to improve threat detection, investigation, alert triage, threat intelligence, or automated response.
  • Built or integrated agentic AI, LLM, or GenAI capabilities into security platforms or workflows.
  • Developed architectures for incorporating AI into security data and telemetry pipelines.
  • Automated previously manual security investigation or response processes using AI and/or machine learning.
  • Evaluated how AI can improve the SOC infrastructure, security platforms, data, detection engineering, and response capabilities.
  • Worked across cloud, on-premises, and endpoint environments to implement modern security automation.

The distinction is important: We are looking for someone who has helped build, architect, integrate, or engineer AI-enabled cybersecurity capabilities, not someone whose primary experience is simply using AI-powered security products.

Leadership & Strategy

The successful candidate will be able to move between technical architecture and strategic leadership.

You should be comfortable:

  • Leading a team of cybersecurity engineers.
  • Developing multi-year technology roadmaps.
  • Evaluating emerging security and AI technologies.
  • Translating business risk into technical capabilities.
  • Working with senior security and technology leadership.
  • Driving transformation across people, processes, data, and technology.
  • Establishing measurable outcomes for security engineering initiatives.
  • Building a culture of engineering, innovation, automation, and continuous improvement.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: napil006
  • Position Id: 9098442
  • Posted 3 hours ago
Contact the job poster
CP

Cameron Pieczynski

Recruiter @ Request Technology, LLC
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