Manager - Vulnerability Security, AI, Machine Learning

Overview

Remote
$220,000 - $225,000
Full Time

Skills

Generative Artificial Intelligence (AI)
Machine Learning (ML)
Penetration Testing
Vulnerability Management

Job Details

NO SPONSORSHIP

Manager Cyber Risk Management - Vulnerability, AI, Machine Learning

I need a vulnerability manager who manages and motivates people in vulnerability management focus. This is across the enterprise. You will need to be heavy in infrastructure and applications. Meaning: pen testing, red teaming, etc. They need to do tooling road map. They are going to manager 6 fultime people, 7 contractors, a total of 13 people. They have to have excellent soft skills, because this is relationship driven. They need to work bringing vision and advancing mature programs. Advanced skills in metric development. Experience with AI/ML.

SALARY: $225k - $250k plus 20% bonus

LOCATION: Remote, no Alaska, North Dakota, Nebraska, Hawaii, Oklahoma, Vermont, Maine, West Virginia, Wyoming, New Hampshire, Puerto Rico

Certifications CISSP GSEC OSCP Strongly preferred scoring systems CVSS security benchmarks CIS NIST Scanning tools SAST SCA IAST automation for vulnerability management machine learning generative AI agent based systems large language models

The Manager Cyber Risk Management is responsible for developing and leading a high-performing team focused on vulnerability management, including vulnerability discovery, risk-based prioritization, and enterprise remediation coordination. This role oversees the design, delivery, and continuous improvement of services that reduce technology risk through scalable vulnerability identification and tracking processes, platform ownership, and stakeholder collaboration. The successful candidate will build strong relationships with key enterprise partners including architecture, engineering, infrastructure, and application teams to ensure vulnerabilities are understood, prioritized appropriately, and addressed in alignment with business risk tolerance.

Technical & Domain Expertise

  • Deep understanding of risk-based vulnerability management. Knowledge of vulnerability scoring systems (CVSS), security benchmarks (CIS, NIST), and risk quantification techniques
  • Proficiency in selecting, implementing, and managing vulnerability scanning tools (e.g., SAST, SCA, IAST, DAST, Network/Infrastructure, Cloud, etc.) across the technology stack
  • Experience designing and implementing automation for vulnerability management processes using generative AI, agent-based systems, large language models (LLMs), or machine learning to improve efficiency, effectiveness, and scalability
  • Skilled in analyzing business and technical requirements and translating them into effective solutions, technical plans, roadmaps, budgets, and proposals that support cyber program growth and align with cyber and organizational goals
  • Commitment to continuous learning with the ability to research and enhance technical and domain-specific knowledge to support rapidly changing environments
  • Industry certifications such as CISSP, GSEC, OSCP, or comparable security-related credentials are strongly preferred
  • Proven experience managing enterprise-scale vulnerability management programs and tools
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