Senior Product Manager - GenAI

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

Niskayuna, NY

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JOB DETAILS

SALARY

$131,700–$219,300 Per Year

SKILLS

Alternative Energy, Artificial Intelligence (AI), Business Processes, Business Skills, Business Strategy, Candidate Screening, Career Development, Communication Skills, Computer Science, Cross-Functional, Customer/Client Research, Data Analysis, Data Science, Establish Priorities, Government, Investment Management, Leadership, Legal, Mathematics, Metrics, Needs Assessment, Operational Improvement, Performance Analysis, Performance Metrics, Presentation/Verbal Skills, Process Improvement, Product Development, Product Management, Product Planning, Product Support, Research & Development (R&D), Resolve Customer Issues, Risk Analysis, Safety/Work Safety, Team Lead/Manager, Technical Delivery, Technical Strategy, User Interface/Experience (UI/UX)

LOCATION

Niskayuna, NY

POSTED

30+ days ago

Job Description Summary

The Product Manager for GenAI at GE Vernova plays a crucial role in the development and execution of GenAI-powered products that transform business processes. This role is essential to our mission of pioneering AI-driven innovation and enhancing user experiences across the enterprise.

The Product Manager will work with across GE Vernova and with the GenAI Portfolio Manager to identify, prioritize and build out GenAI products. These products (several) focus on delivering improvements and value through the lens of the Safety, Quality, Delivery, and Cost (SQDC) framework, measuring the impact of GenAI initiatives.

Additionally, the Product Manager facilitates cross-business coordination, leveraging GenAI applications to drive operational improvements and foster innovation across Vernova. Expertise in AI, combined with strong business acumen, is pivotal in translating complex technical challenges into strategic opportunities that propel the organization forward. These duties extend to not only internally developed solutions, but also to external suppliers (e.g. 3rd party software).

As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business’s mission to help power the energy transition. We forge the collaborations and help invent the technologies required to electrify and decarbonize for a zero-carbon future.

Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova’s businesses, the U.S. government, and more than 420 entities at the forefront of technology to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy.

Job Description

Key Responsibilities:

+ Product Ownership and Development: Collaborate with cross-functional teams, including business, engineering, and research, to develop and execute product roadmaps that align with strategic objectives.

+ Roadmap input: Provide input, alongside the Portfolio manager, to build the product roadmaps

+ Technical Collaboration: Work closely with data scientists, IT, and designers to ensure the development of robust AI solutions, maintaining technical rigor and introducing new methods for verifying success and identifying risks.

+ User Experience: Focus on delivering exceptional user experiences by understanding and addressing user needs in AI applications.

+ Cross-Business Coordination: Support the coordination of GenAI applications to drive improvements and innovations across Vernova.

+ Data-Driven Decision Making: Utilize data analytics to measure product performance and make informed decisions. Define and monitor metrics and KPIs to ensure the success and impact of AI initiatives.

+ Post-Launch Support: Monitor product performance post-launch, gather user feedback, and iterate on product features to enhance value delivery.

+ 3rd party solutions: Oversee the interjection of GenAI products coming from 3rd party software suppliers and determine best technology fit.

Position Requirements:

+ Bachelor's Degree in Mathematics, Computer Science, Engineering, or related field, with minimum of 8 years' relevant experience.

+ Experience with GE/GE Vernova highly preferred.

+ Business Acumen: Ability to integrate business strategy with technical initiatives.

+ Leadership: Proven leadership in managing cross-functional teams and projects.

+ Communication Skills: Excellent communication and presentation skills to engage with diverse stakeholders and occasionally C-Suite executives.

+ Experience building and deploying AI applications.

+ Problem-Solving Skills: Analytical skills to identify and solve risks and challenges.

+ Technical Proficiency and Data-Driven Mindset

+ Must be 18 years or older

+ Legal authorization to work in the US is required. We will not sponsor individuals for Work Visas, now or in the future, for this position opening.

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer (https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf) . 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: Yes

For candidates applying to a U.S. based position, the pay range for this position is between $131,700.00 and $219,300.00. 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 January 28, 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.
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.

About 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