Generative Engine Optimization Jobs in USA with Visa Sponsorship
Generative Engine Optimization is a specialty occupation that qualifies for H-1B visa, E-3 visa, and TN visa sponsorship when tied to a degree in computer science, marketing, or a directly related field. Employers file a Labor Condition Application before you start, and your LCA must specify the work location where you'll actually be based. For detailed occupation requirements, see the O*NET profile.
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INTRODUCTION
GE Vernova Advanced Research is looking for a Supply Chain Leader, who will be responsible for developing, implementing, and leading the global supplier strategy for new business platforms. In this mission-critical role, you will build a resilient and scalable supply chain for specialized high-temperature electrochemical components, metal and ceramic materials, and balance-of-plant systems. You will lead the transition from development-stage procurement to a high-volume, cost-competitive manufacturing supply chain, ensuring we meet our decarbonization targets and commercial deployment goals. This role will have exciting opportunities to help define and develop sustainable solutions to the biggest challenges in the ongoing Energy Transition and sustainable fuels, which is the core of GE Vernova business.
GE Vernova’s Advanced Research center is the central innovation engine for GE Vernova’s portfolio of energy businesses, which will be unified under one banner called GE Vernova. The research organization is made up of 400+ researchers representing virtually every major scientific and engineering discipline. Collectively, they are driving major research programs and initiatives to decarbonize power, accelerate renewables, and promote electrification and the creation of a 21st century grid fit to power a zero-carbon energy future.
ESSENTIAL RESPONSIBILITIES
- Develop and execute long-term global commodity strategies specifically tailored to the unique value chain (e.g., advanced ceramics, specialty alloys, high-purity seals, and power electronics).
- Partner with R&D and Engineering to move from prototype-stage sourcing to industrial-scale manufacturing, focusing on cost-out, design-for-manufacturability, and supply base readiness.
- Identify, qualify, and develop partners capable of meeting the stringent quality and high-temperature performance requirements of the technology.
- Build a robust, multi-sourced supply chain to mitigate geopolitical and commodity-specific risks.
- Drive sourcing priorities, including product cost-out, supplier consolidation, cycle time reduction, and cash flow improvement.
- Integrate supply chain strategies directly into Engineering and Product Management roadmaps to ensure alignment on performance, cost, and lead times.
- Develop comprehensive global supplier contracts that protect intellectual property while securing capacity and favorable pricing terms.
- Coordinate cross-functional supplier reviews, utilizing data-driven metrics to manage quality, Order-To-Delivery (OTD) performance, and supplier financial health.
Stay ahead of technological and industry shifts in the decarbonization space to influence business forecasting and long-term planning.
QUALIFICATIONS/REQUIREMENTS
- Bachelor’s Degree in Engineering, Supply Chain, Business, or related field from an accredited university
- At least 10 years of supply chain experience.
- 10 years of experience in Global Supply Chain, Strategic Sourcing, or Operations, particularly within high-tech, energy, or complex manufacturing environments.
DESIRED CHARACTERISTICS
- Technical Familiarity: Understanding of electrochemical systems, high-temperature components, or ceramic/material manufacturing processes.
- Scalability Mindset: Demonstrated experience taking technology from the pilot/demonstration phase to commercial-scale production.
- Global Collaboration: Proven ability to work across cultures and time zones, effectively managing complex stakeholder relationships in a matrix organization.
- Strategic Agility: Ability to handle multiple projects in compressed, high-stakes timeframes while maintaining a long-term strategic perspective.
- Data-Driven Leadership: Strong quantitative and analytical skills; experience using data to drive decision-making in technical environments.
- Change Agent: Ability to challenge the status quo, drive process innovation, and foster a culture of integrity and GE Values.
- Negotiation Mastery: Proven success in leading high-value negotiations and managing complex supplier partnerships.
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
For candidates applying to a U.S. based position, the pay range for this position is between $113,200.00 and $188,800.00. 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 November 12, 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.
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Get Access To All JobsTips for Finding Generative Engine Optimization Jobs
Frame your GEO work as a specialty occupation
USCIS requires that your role needs a specific bachelor's degree, not just any degree. Document how your GEO work draws directly on information retrieval, NLP, or search systems to avoid an RFE challenging specialty occupation status.
Verify prevailing wage before accepting an offer
Your employer's LCA must certify a wage at or above the DOL prevailing wage for your location and job level. Run the OFLC Wage Search using titles like 'Market Research Analyst' or 'Software Developer' to confirm your offer meets the threshold before signing.
Target employers with LCA filing history in AI-adjacent roles
GEO is a newer title, so search LCA disclosure data for employers who have filed for roles in AI content, search optimization, or large language model applications. Use Migrate Mate to find employers with verified sponsorship history in this category.
Align your degree field to the specific GEO role
A GEO role focused on retrieval-augmented generation typically needs a computer science or data science degree. One centered on content strategy for AI answer engines may qualify under marketing or communications. Confirm the degree-to-role match with your employer before filing.
Account for LCA location requirements when working remotely
If you'll work remotely from a different city than your employer's office, DOL requires a separate LCA certified for each worksite. Clarify your work location with HR early so the LCA reflects where you'll actually perform the work.
Use O*NET to build your specialty occupation argument
Because 'Generative Engine Optimization' isn't a standard DOL job title yet, pull the O*NET profile for the closest matching occupation and document how your duties align. This record strengthens your employer's specialty occupation justification in the I-129 petition.
Frequently Asked Questions
Does a Generative Engine Optimization role qualify as a specialty occupation for H-1B purposes?
It can, but the burden of proof is higher than for established tech titles. USCIS looks at whether the position normally requires a bachelor's degree in a specific field. GEO roles focused on LLM integration or retrieval systems tend to qualify under computer science. Roles centered on content strategy may qualify under marketing or communications, but the employer must document the connection clearly in the I-129 petition.
Which visa types can sponsor a Generative Engine Optimization specialist?
H-1B is the most common path for most nationalities, subject to the annual cap and selection process. Australian citizens can pursue the E-3, which has a separate cap and no lottery. Canadian and Mexican nationals in qualifying technical or marketing professions may qualify for TN visa status. All three require a specialty occupation showing and an employer-filed LCA certified by DOL before you begin work.
What degree do I need for GEO visa sponsorship?
The degree must relate directly to the job duties, not just to 'technology' broadly. For GEO roles involving model fine-tuning, prompt engineering, or AI search architecture, computer science, information systems, or data science degrees are well-matched. For GEO roles focused on AI content distribution and answer-engine visibility, degrees in marketing, communications, or digital media are more appropriate. A mismatch between degree and role duties is a common RFE trigger.
How do I find employers who actively sponsor GEO roles?
Browse Migrate Mate to find U.S. employers with verified sponsorship history in AI and search optimization roles. Because GEO is an emerging title, focus on companies with LCA filings in adjacent areas like AI content, NLP engineering, or search product development.
Does a remote GEO job affect the LCA or visa filing?
Yes. DOL requires a certified LCA for every location where you perform work, including your home address if you work remotely. If you work from a city different from your employer's listed office, the employer must file a new LCA covering that worksite. Working from an uncertified location creates a compliance violation, so confirm your work arrangement with HR before the LCA is submitted to DOL.
What is the prevailing wage requirement for sponsored Generative Engine Optimization jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.