Job Description Summary
The Sr. Director, Product Cybersecurity AI, Emerging Technology & Platforms Leader is a senior director reporting directly to the VP of Product Cybersecurity and working in close partnership with the CISO office, the GE Vernova Advanced Research Center, product and engineering professionals within the business units. This leader owns the full strategic arc of our agentic product security transformation — from securing the first line of code to responding to vulnerabilities in fielded product versions running in power plants, substations, and grid infrastructure around the world. This is a defining role at the intersection of product cybersecurity and critical infrastructure — spanning emerging technologies including agentic AI platforms, field robotics, and quantum-resilient security architectures. You will work with cross-functional teams to design and build the agentic technology strategy, the agentic pipeline of personas to support the business units in their quest to create products that are secure by design and support faster vulnerability triangulation and remediation of vulnerabilities. Build Track Agentic security capabilities embedded across every SDLC phase — threat modeling agents on design documents, real-time code review on every commit, autonomous dependency and SCA agents in the build Field Track AI-assisted vulnerability response for products already deployed in the field. CVE-to-product version mapping agents, agentic CVSS scoring across the install base, AI assisted patch and customer advisory generation
Job Description
Key Responsibilities
Program Strategy & Leadership
- Transformation Roadmap: Own the end-to-end "agentic" product security roadmap, defining clear milestones for transitioning from traditional to autonomous security operations.
- Executive Reporting: Present quarterly AI transformation scorecards to the VP of Product Cybersecurity and senior leadership.
- Cross-Functional Alignment: Partner with the CISO and Advanced Research Center to align strategies with enterprise risk frameworks and explore frontier technologies (e.g., field robotics, quantum-resilient crypto).
- Business Engagement: Embed security capabilities into business unit engineering workflows through proactive stakeholder collaboration.
Agentic Technology & Platforms
- Tooling Strategy: Lead the evaluation and selection of LLM providers, agentic tooling, and AI security platforms.
- Economic Discipline: Manage unit economics, including token cost management and per-application budgeting.
- Validation: Enforce rigorous "shadow mode" validation—requiring 95%+ parity before retiring any legacy security tools.
Build & Field Track Operations
- Secure Development (Build): Integrate security agents into CI/CD pipelines to achieve 100% repository coverage for code review and threat modeling by FY2027.
- Fielded Response (Field): Build autonomous vulnerability response capabilities; map all supported product versions to CVE exposure agents by FY2027 and reduce PSIRT advisory SLAs.
Contractor & Pipeline Governance
- Pipeline Personas: Define and govern role-based identities, permissions, and behavioral profiles for all autonomous agents.
- Program Management: Manage multi-vendor contractor programs (development, model drift monitoring, regression testing) and ensure GE Vernova ownership of all agent code/IP.
- Internal Capability: Build a resilient AI security team through strategic hiring, reskilling, and a dual-vendor strategy to mitigate single-vendor dependency.
Qualifications
Required
- 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.
Desired Characteristics
- AI Fluency: Deep understanding of agentic frameworks, LLM prompt engineering, and autonomous workflow architecture.
- Emerging Tech: Awareness of frontier risks like field robotics security and quantum-resilient cryptography.
- Regulatory Knowledge: Familiarity with AI-specific frameworks (EU AI Act, NIST AI RMF, IEC 62443).
- Mindset: Operator-focused with a bias for action; proven ability to drive organizational change, build teams, and measure success via concrete capability deployment.
- Communication: Ability to translate complex technical/AI concepts for executive-level (VP+) stakeholders.
Additional Information
GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: No
#LI-Remote - This is a remote position
Application Deadline:
For candidates applying to a U.S. based position, the pay range for this position is between $169,200.00 and $282,000.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.
Bonus eligibility: discretionary annual bonus.
This posting is expected to remain open for at least seven days after it was posted on June 02, 2026.
Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.
GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
