Generative Engine Optimization Jobs in USA with Visa Sponsorship
Generative engine optimization roles sit at the intersection of AI systems and content strategy, making them a strong fit for H-1B visa specialty occupation sponsorship. Most positions require a bachelor's degree in computer science, linguistics, or a related technical field, and employer sponsorship rates are growing alongside demand. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsGENERAL INFORMATION
Req #
WD00102687
Career area:
Artificial Intelligence
Country/Region:
United States of America
State:
North Carolina
City:
Morrisville
Date:
Monday, July 27, 2026
Working time:
Full-time
ADDITIONAL LOCATIONS:
* United States of America - North Carolina - Morrisville
WHY WORK AT LENOVO
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
JOB SUMMARY
Lenovo is seeking an innovative and data-driven eService Generative Engine Optimization Operation professional to support the development, implementation, and optimization of AI-powered digital service experiences. This role will focus on enhancing Lenovo’s eService ecosystem through the application of Generative AI, Agentic AI, and data-driven operational strategies, helping improve customer engagement, self-service effectiveness, and overall user satisfaction.
The ideal candidate possesses a strong understanding of digital operations, customer experience, and analytics, with the ability to collaborate across teams to deliver impactful business outcomes.
JOB RESPONSIBILITIES
AI Application Strategy and Implementation:
Support the development and deployment of AI-driven functionalities within Lenovo's digital service platforms, including Vantage.
Design and optimize intelligent service scenarios leveraging Agentic AI and Generative AI technologies to enhance customer interactions and service experiences.
Operation and Optimization of eService:
Oversee the full life cycle management of eService through integrating AI capabilities into customer service processes and business workflows, ensuring alignment with user needs and business objectives.
Analyze customer behavior, service utilization trends with AI-generated insights to identify opportunities for improvement.
Develop and execute operational strategies aimed at increasing customer engagement, traffic, conversion rates, and retention.
Conduct regular performance reviews of AI services, analyze service data, and provide recommendations to ensure and improve service quality, operational efficiency, and user satisfaction.
Design of AI Driven Customer Service Solutions:
* Work closely with product, engineering, operations, and customer service teams to provide data support, strategic guidance, and tailored customer solutions.
REQUIRED QUALIFICATIONS
Bachelor’s degree in Business, Information Systems, Computer Science, Data Science, Data Analytics, Artificial Intelligence, Engineering, Customer Experience Management or a related field.
5+ years of experience in digital operations, customer experience, AI applications, eService operations, or related fields.
PREFERRED QUALIFICATIONS
Master’s degree in Business, Information Systems, Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
Experience supporting AI-powered digital products, customer service platforms, or self-service ecosystems.
Experience with search engines (e.g. Google Search).
Experience with customer journey analysis, digital engagement strategies, and operational performance metrics.
Experience working in a global and matrixed organization.
Experience analyzing data and translating insights into actionable business recommendations.
Excellent communication and stakeholder management skills.
Proficiency with data analysis tools and reporting dashboards.
We follow a friendly hybrid model with three days a week in the office—great for collaboration and connection.
#LI-SL1
#LI-Hybrid
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
ADDITIONAL LOCATIONS:
United States of America - North Carolina - Morrisville
United States of America
United States of America - North Carolina
United States of America - North Carolina - Morrisville
GENERAL INFORMATION
Req #
WD00102687
Career area:
Artificial Intelligence
Country/Region:
United States of America
State:
North Carolina
City:
Morrisville
Date:
Monday, July 27, 2026
Working time:
Full-time
ADDITIONAL LOCATIONS:
* United States of America - North Carolina - Morrisville
WHY WORK AT LENOVO
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
JOB SUMMARY
Lenovo is seeking an innovative and data-driven eService Generative Engine Optimization Operation professional to support the development, implementation, and optimization of AI-powered digital service experiences. This role will focus on enhancing Lenovo’s eService ecosystem through the application of Generative AI, Agentic AI, and data-driven operational strategies, helping improve customer engagement, self-service effectiveness, and overall user satisfaction.
The ideal candidate possesses a strong understanding of digital operations, customer experience, and analytics, with the ability to collaborate across teams to deliver impactful business outcomes.
JOB RESPONSIBILITIES
AI Application Strategy and Implementation:
Support the development and deployment of AI-driven functionalities within Lenovo's digital service platforms, including Vantage.
Design and optimize intelligent service scenarios leveraging Agentic AI and Generative AI technologies to enhance customer interactions and service experiences.
Operation and Optimization of eService:
Oversee the full life cycle management of eService through integrating AI capabilities into customer service processes and business workflows, ensuring alignment with user needs and business objectives.
Analyze customer behavior, service utilization trends with AI-generated insights to identify opportunities for improvement.
Develop and execute operational strategies aimed at increasing customer engagement, traffic, conversion rates, and retention.
Conduct regular performance reviews of AI services, analyze service data, and provide recommendations to ensure and improve service quality, operational efficiency, and user satisfaction.
Design of AI Driven Customer Service Solutions:
* Work closely with product, engineering, operations, and customer service teams to provide data support, strategic guidance, and tailored customer solutions.
REQUIRED QUALIFICATIONS
Bachelor’s degree in Business, Information Systems, Computer Science, Data Science, Data Analytics, Artificial Intelligence, Engineering, Customer Experience Management or a related field.
5+ years of experience in digital operations, customer experience, AI applications, eService operations, or related fields.
PREFERRED QUALIFICATIONS
Master’s degree in Business, Information Systems, Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
Experience supporting AI-powered digital products, customer service platforms, or self-service ecosystems.
Experience with search engines (e.g. Google Search).
Experience with customer journey analysis, digital engagement strategies, and operational performance metrics.
Experience working in a global and matrixed organization.
Experience analyzing data and translating insights into actionable business recommendations.
Excellent communication and stakeholder management skills.
Proficiency with data analysis tools and reporting dashboards.
We follow a friendly hybrid model with three days a week in the office—great for collaboration and connection.
#LI-SL1
#LI-Hybrid
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.
ADDITIONAL LOCATIONS:
United States of America - North Carolina - Morrisville
United States of America
United States of America - North Carolina
United States of America - North Carolina - Morrisville
See all 18,904+ Generative Engine Optimization Jobs
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Get Access To All JobsTips for Finding Generative Engine Optimization Jobs
Frame your role as a specialty occupation
USCIS requires that your position demand a specific bachelor's degree. For GEO roles, emphasize the technical depth required, NLP, LLM architecture, or retrieval-augmented generation, rather than framing the job as general marketing or content work.
Target companies already filing H-1B petitions
AI-forward companies sponsoring engineers and data scientists are far more likely to extend sponsorship to GEO specialists. Look for employers with existing USCIS petition history in technical roles, which signals an established immigration infrastructure and legal support.
Align your degree field to the job description
GEO roles can fall under computer science, information systems, or even computational linguistics depending on the employer. Make sure your degree field maps directly to what the job description requires, mismatches are a common H-1B denial trigger.
Document the technical scope of your responsibilities
Vague job duties hurt specialty occupation arguments. Work with your employer to ensure the offer letter and H-1B petition specify technical tasks like prompt engineering, model evaluation, or structured data schema design, not just 'content optimization.'
Start the LCA process early
Your employer must file a Labor Condition Application with the Department of Labor before the H-1B petition reaches USCIS. This step alone can take one to two weeks, so initiating sponsorship conversations well before your start date or status deadline matters.
Browse GEO roles on Migrate Mate
Not every job posting signals sponsorship willingness upfront. Migrate Mate filters for visa-sponsoring employers, helping you focus your search on companies actively open to H-1B candidates rather than applying broadly and asking later in the process.
Frequently Asked Questions
Can a Generative Engine Optimization role qualify as an H-1B specialty occupation?
Yes, if the position genuinely requires a bachelor's degree in a specific technical field such as computer science, information systems, or computational linguistics. The key is that the degree requirement must be tied to the role's core duties. GEO roles that blend AI model interaction with structured content strategy can qualify, but the petition needs detailed documentation of the technical work involved to withstand USCIS scrutiny.
What degree do I need to get H-1B sponsorship for a GEO position?
Most employers sponsoring GEO roles require a bachelor's degree in computer science, information systems, data science, or a closely related field. Some positions may accept a degree in linguistics or communications if the role emphasizes natural language processing. The degree field must logically connect to the specific technical duties in the job description. A general business or marketing degree is unlikely to support a specialty occupation argument without significant technical coursework documented.
Are Generative Engine Optimization jobs commonly sponsoring visas right now?
GEO is an emerging specialization, and sponsorship availability is growing but uneven. Large technology companies, AI startups, and enterprise SaaS firms are most likely to sponsor because they already have immigration programs in place for engineering roles. Smaller agencies or marketing-focused employers are less likely to sponsor. Migrate Mate lists GEO and related AI content roles filtered by sponsorship openness, which makes it easier to identify which employers are actively willing to file petitions.
Does the H-1B lottery affect my chances of getting sponsored for a GEO role?
It depends on your situation. If you're already in the U.S. on H-1B visa status and changing employers, there's no lottery, your new employer files a transfer petition and you can start working once it's received. If you're applying for a new H-1B from outside the U.S. or from a non-H-1B status, you'd need to go through the annual lottery, which runs in March with an approximately 25% selection rate for most applicants. Australians may have better options through the E-3 visa, which has no lottery.
Can an employer sponsor a GEO role if the job is fully remote?
Yes, but it adds complexity. The H-1B requires a Labor Condition Application filed for each worksite location. For fully remote roles, USCIS and the Department of Labor have specific rules about which address to list and whether a new LCA is needed when you work from different locations. Your employer's immigration attorney will need to structure the petition carefully. Remote GEO roles are sponsorable, but the administrative burden on the employer is higher than for office-based positions.
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.