AI Technical Product Analyst (Remote Eligible, U.S.)

# Job Description Summary

Responsible for operating in lock-step with product managers to the successful delivery of a AI solutions throughout their lifecycle. You will communicate clear and descriptive requirements and partner with the development team to deliver products that balance the desire for new features with defects and technical debt. Your priority is to ensure that the product meets the stakeholder requirements, retains functional and technical integrity and is appropriately scalable.

# Job Description

Essential Responsibilities

- Work with cross-functional (design, build, test, process) teams to deliver features and products.

- Provide input to the short-term product roadmap and product design.

- Participate in customer and stakeholder interviews to align product design with roles (personas).

- Assist product managers to groom the product backlog; ensuring that an agreed amount of scope is always ready to move forward and identifying if this is not the case.

- Engage frequently with or be an integral member of the product development team; facilitate discussions, provide clarification, drive feature refinement, conduct testing and validation.

- Understand and follow the proscribed governance process and development methodology for product development.

- Translate customer requests into actionable user stories and work units through problem decomposition and planning.

- Show increasing understanding of the technology stack and its impact on the final product.

Required Qualifications

- Bachelor's Degree in Computer Science, Data Science, or related quantitative field.

- Minimum 1 year of experience in Product Management.

Eligibility Requirements

- The preferred work location for this role is at the GEH Headquarters in Wilmington, NC; but highly qualified (US based) remote candidates will be considered.

- This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.

Desired Qualifications

- Strong knowledge of software design and coding principles.

- Familiarity with versatile implementation options.

- Knowledge of statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and experimental design.

- Ability to tie use cases to model development, pre-training, and implementation of AI algorithms—including vision AI, predictive analytics, LLM-based applications, and anomaly detection.

Business Acumen:

- Demonstrates the initiative to explore alternate technology and approaches to solving problems.

- Skilled in breaking down problems, documenting problem statements and estimating efforts.

- Has the ability to analyze impact of technology choices.

Leadership:

- Influences through others; builds direct and "behind the scenes" support for ideas. Pre-emptively sees downstream consequences and effectively tailors influencing strategy to support a positive outcome.

- Able to verbalize what is behind decisions and downstream implications. Continuously reflecting on success and failures to improve performance and decision-making.

- Understands when change is needed.

Personal Attributes:

- Proactively engages with cross-functional teams to resolve issues and design solutions using critical thinking and analysis skills and best practices. Finds important patterns in seemingly unrelated information.

- Maintains excitement for a process and drives to new directions of meeting the goal even when odds and setbacks render one path impassable.

- Innovates and integrates new processes and/or technology to significantly add value to GE.

The base pay range for this position is $80K - $110K. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. This position is also eligible for bonuses, such as a performance bonus/variable incentive compensation/equity. This position is expected to close on 9/27/25.

The company pays a geographic differential of 110%, 120%, or 130% of salary in certain areas.

Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, 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 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 planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness.

General Electric Company, Ropcor, Inc., and in some cases their affiliates, each sponsor certain employee benefit plans or programs (i.e., is a "Sponsor"). Each Sponsor 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 Sponsor's welfare benefit plan or program. This document does not create a contract of employment with any individual.

#LI-BB1

#LI-Remote

This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.

# 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: Yes

#LI-Remote - This is a remote positionApplication Deadline: September 27, 2025