Senior Director, Product Cybersecurity AI, Emerging Technology & Platforms

Switzerland Global Enterprise

Sr. Director, Product Cybersecurity at GE Vernova overseeing transformation in cybersecurity for emerging technologies.

Posted 6/3/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $169,200 - $282,000 per yearWebsite

Tech Stack

Tools & technologies

Cyber SecuritySDLC

About the role

Key responsibilities & impact

Own the end-to-end 'agentic' product security roadmap, defining clear milestones for transitioning from traditional to autonomous security operations
Present quarterly AI transformation scorecards to the VP of Product Cybersecurity and senior leadership
Partner with the CISO and Advanced Research Center to align strategies with enterprise risk frameworks and explore frontier technologies
Embed security capabilities into business unit engineering workflows through proactive stakeholder collaboration
Lead the evaluation and selection of LLM providers, agentic tooling, and AI security platforms
Manage unit economics, including token cost management and per-application budgeting
Enforce rigorous 'shadow mode' validation—requiring 95%+ parity before retiring any legacy security tools
Integrate security agents into CI/CD pipelines to achieve 100% repository coverage for code review and threat modeling by FY2027
Build autonomous vulnerability response capabilities; map all supported product versions to CVE exposure agents by FY2027 and reduce PSIRT advisory SLAs
Define and govern role-based identities, permissions, and behavioral profiles for all autonomous agents
Manage multi-vendor contractor programs and ensure GE Vernova ownership of all agent code/IP
Build a resilient AI security team through strategic hiring, reskilling, and a dual-vendor strategy to mitigate single-vendor dependency

Requirements

What you’ll need

Bachelors in CS, Cybersecurity, Engineering or in a related field (master's preferred)
10+ years in product cybersecurity, software security, or technical leadership
Demonstrated experience deploying AI/ML systems within DevSecOps or software engineering contexts
Working knowledge of GE Vernova products (grid, power, industrial) and their operational environments
Deep expertise in secure SDLC, DevSecOps toolchains, and large-scale vulnerability management
Experience managing complex multi-vendor programs, including IP governance and performance metrics

Benefits

Comp & perks

medical, dental, vision, and prescription drug coverage
access to Health Coach from GE Vernova, a 24/7 nurse-based resource
access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
GE Vernova Retirement Savings Plan
tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions
access to Fidelity resources and financial planning consultants
tuition assistance
adoption assistance
paid parental leave
disability benefits
life insurance
12 paid holidays
permissive time off

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Hard Skills & Tools

product cybersecuritysoftware securityAI/ML systemsDevSecOpssecure SDLCvulnerability managementCI/CD pipelinestoken cost managementCVE exposurerole-based identities

Soft Skills

stakeholder collaborationstrategic hiringreskillingleadershipcommunication

Certifications

Bachelor's in Computer ScienceBachelor's in CybersecurityBachelor's in EngineeringMaster's in related field