Cyber – AI-Enabled Vulnerability Management Manager

. Lead the design and delivery of AI-enabled vulnerability and exposure management programs across enterprise environments .

Posted 10/7/2026full-timeSan Francisco • California • United StatesMid-LevelSenior💰 $181,200 - $302,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading AI-enabled vulnerability management programs, establishing governance for AI in client environments, and delivering high-quality engagement outcomes. Proficient in developing risk metrics and executive dashboards to showcase exposure reduction and remediation performance.

Highest-signal resume keywords

Vulnerability ManagementAI GovernanceAutomated RemediationRisk Metrics DevelopmentLeadership and Mentoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Vulnerability ManagementAI Application in SecurityAutomated RemediationPatch OrchestrationRisk AssessmentKPI DefinitionThreat IntelligenceExploit PredictionBusiness DevelopmentConsulting Methods

Soft Skills

Strong CommunicationLeadershipMentoring

Tools & Technologies

TenableQualysRapid7WizMicrosoft Defender

Certifications & Qualifications

AI Security CertificationVulnerability Management CertificationCybersecurity Certification

Industry Keywords

Exposure ManagementRisk-Based PrioritizationAI-Enabled WorkflowsHuman-in-the-LoopAuditability

Tech Stack

Tools & technologies

CloudCyber Security

About the role

Key responsibilities & impact

Lead the design and delivery of AI-enabled vulnerability and exposure management programs across enterprise environments
Own the asset and exposure data foundation and define risk-based prioritization using threat intelligence, exploit prediction, reachability, attack path context, and business criticality
Direct AI and agentic workflows for orchestrated patching, IaC, and validated remediation
Advise clients on vulnerability management controls aligned to regulatory, audit, and industry frameworks
Establish standards for evaluating and trusting AI output, including human baselines, false-positive reduction, and time-to-remediate metrics
Own AI governance in client environments, including guardrails, human-in-the-loop thresholds, auditability, and client risk acceptance
Manage engagement delivery end to end, including scope, budget, staffing, risk, and quality
Advise client IT, cloud, and security leadership
Build reusable accelerators, reference architectures, and delivery assets; shape the offering roadmap and go-to-market
Lead efforts to extend vulnerability management to AI systems, including model, prompt, integration, and supply chain weaknesses
Develop executive dashboards and risk metrics demonstrating exposure reduction, remediation performance, and business impact
Mentor practitioners and represent EY in industry groups, conferences, and events

Requirements

What you’ll need

6+ years of relevant experience in vulnerability or exposure management, with some in professional services or similar
No bachelor’s degree is required
Demonstrated leadership experience managing and mentoring teams and owning delivery quality across concurrent workstreams
Hands-on experience leading enterprise vulnerability management programs across the full lifecycle
Experience with platforms such as Tenable, Qualys, Rapid7, Wiz, Microsoft Defender, or equivalent
Production experience applying AI or machine learning to vulnerability management at scale
Experience contributing to business development and offering development, including proposals, pursuits, or building new service offerings
Experience defining evaluation or benchmarking approaches for AI-assisted security workflows
Experience with automated remediation, including patch orchestration, IaC fixes, or pull-request-generated fixes with rollback
Experience establishing governance for AI used in client environments
Relevant certification in AI security, vulnerability management, or cybersecurity, or ability to acquire one after employment
Experience assessing or securing AI and machine learning systems
Strong written and verbal communication with clients, senior leaders, and technical teams
Experience defining VM metrics, KPIs, and executive dashboards demonstrating risk reduction
Proficiency with consulting methods including scoping, estimating, staffing, and engagement economics

Benefits

Comp & perks

Medical coverage
Dental coverage
Pension plan
401(k) plan
Wide range of paid time off options
Professional growth
Inclusive culture
Reasonable accommodation for qualified individuals with disabilities