AI Product Owner Jobs in USA with Visa Sponsorship
AI Product Owner roles qualify as H-1B visa specialty occupations when tied to a directly related degree in computer science, engineering, or a related field. U.S. employers file a Labor Condition Application before sponsoring, and the annual H-1B cap and selection process apply. No lottery exists for E-3 visa or H-1B1 visa holders. For detailed occupation requirements, see the O*NET profile.
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GENERAL INFORMATION
Req #
WD00107566
Career area:
Artificial Intelligence
Country/Region:
United States of America
State:
North Carolina
City:
Morrisville
Date:
Friday, November 6, 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 #153 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.
DESCRIPTION AND REQUIREMENTS
Lenovo is seeking an experienced AI Product Manager to bring agentic experiences to the software that millions of our customers use every day.
In this role, you will connect the on-device, edge, and cloud AI capabilities built by Lenovo’s Cloud and Software (CSW) platform teams with the solution teams that own our customer-facing products. You will focus on where agents and AI can change those products and why, defining the use cases, requirements, and adoption plans that turn existing solutions into agentic experiences.
You will treat solution product teams as your platform customers, working closely with them to understand their products and users, identify where AI creates real value, and translate those opportunities into clear requirements for the AI Platform team. You will be hands-on, leading through influence and bringing the ideas, prototypes, and evidence that move solutions from concept to shipped AI features.
Responsibilities:
- Partner with solution PMs to identify where agentic AI can replace or reinvent existing workflows and features.
- Assess current solutions for AI readiness and build a prioritized modernization roadmap with each solution team.
- Translate solution needs into clear platform requirements for the cloud AI, on-device AI, and core platform PMs.
- Translate new platform capabilities into concrete solution use cases so the platform's work lands in shipping products.
- Write agentic use cases, user journeys, requirements, and success metrics that both platform and solution teams can execute against.
- Build quick prototypes and demos that show solution teams what an agentic version of their product could look like.
- Coordinate dependencies, timelines, and launch readiness across multiple platform and solution teams.
- Help decide where AI should run (on-device, cloud, or hybrid), weighing quality, latency, privacy, cost, and reliability.
- Define shared patterns and best practices so each solution team doesn't reinvent agent design, evaluation, and safety.
- Track adoption and impact of AI features after launch and feed results back into both roadmaps.
- Communicate progress, risks, and tradeoffs to product leaders on both the platform and business sides.
BASIC QUALIFICATIONS:
- Bachelor's or Master's degree in Business, Computer Science, Engineering, or Design disciplines.
- 5+ years of product management experience delivering software, digital, or technology products.
- Demonstrated experience working with engineering and design teams to ship customer-facing products or features.
- Experience translating customer needs into clear requirements and prioritizing work across competing needs.
PREFERRED QUALIFICATIONS:
- Working knowledge of generative AI, LLMs, and AI agents, and how they change product design.
- Hands-on experience designing agentic experiences: tool use, orchestration, memory, RAG, human-in-the-loop, and evaluation.
- Curiosity about modern AI systems and how they utilize cloud and GPU infrastructure.
- Ability to rapidly prototype with modern AI tools to make ideas tangible.
- Strong storytelling and written communication.
WHAT SUCCESS LOOKS LIKE:
In this role, you become the trusted bridge between Lenovo's AI platform and its solution teams. Solution PMs come to you first when they think about AI, and platform PMs rely on you to know what real products need. You measure success by agentic features shipped inside existing Lenovo solutions, platform capabilities adopted by solution teams, and real improvements in customer experience and engagement.
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
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Get Access To All JobsTips for Finding Visa Sponsorship as an AI Product Owner
Frame your degree for specialty occupation
AI Product Owner roles require a bachelor's degree in a directly related field like computer science or information systems. Document how your specific degree maps to AI product work before applying, since USCIS scrutinizes degree-to-role fit closely for product management titles.
Use O*NET to anchor your job description
Pull the task and knowledge requirements from O*NET for the closest matching occupation. Your employer's LCA and I-129 petition language should echo those descriptions to reinforce the specialty occupation argument and reduce the risk of a Request for Evidence.
Target companies with active LCA filing history
Search Migrate Mate to find employers who have already filed Labor Condition Applications for AI and product roles. Prior LCA filings signal an established sponsorship process, which shortens your offer-to-filing timeline significantly compared to first-time sponsors.
Verify prevailing wage tier before negotiating
Run your target city and job title through the OFLC Wage Search before salary discussions. Your employer's LCA must certify wages at or above the prevailing wage, so knowing the threshold upfront prevents offer renegotiation after DOL certification.
Distinguish your role from general management
AI Product Owner titles sometimes draw RFEs because USCIS may view them as managerial rather than technical. Your offer letter and employer support letter should emphasize AI system design, model evaluation, and technical roadmap ownership to establish specialty occupation clearly.
Align your start date with H-1B cap timing
H-1B is subject to an annual cap and selection process, with rules that have changed recently. If you're not yet in H-1B status, structure your job search timeline so an offer can be secured before registration closes, since USCIS sets the window annually.
Frequently Asked Questions
Does an AI Product Owner role qualify as a specialty occupation for H-1B?
It can, but the qualification depends on how the role is defined in the job description and offer letter. USCIS requires a direct relationship between the duties and a specific bachelor's degree field. AI Product Owner roles that emphasize technical AI system design, model oversight, and data-driven roadmap decisions are stronger candidates than those framed primarily around stakeholder management or business strategy.
Which visas can sponsor an AI Product Owner working in the U.S.?
The H-1B is the most common path for AI Product Owners, requiring employer sponsorship, an LCA filed with DOL, and a specialty occupation determination. Australian citizens can use the E-3 visa, which has no lottery and renews indefinitely every two years. Chilean and Singaporean nationals may qualify under the H-1B1 visa. All three require a directly related bachelor's degree and employer-filed LCA.
What degree do I need to get sponsored as an AI Product Owner?
USCIS expects a bachelor's degree in a field directly related to the role. Computer science, software engineering, information systems, and artificial intelligence are the strongest matches. Degrees in business or general management typically won't support the petition on their own unless paired with technical coursework or graduate-level study in a qualifying STEM field. A degree in a related field combined with demonstrated AI technical experience can strengthen the case.
How do I find employers who actively sponsor AI Product Owner roles?
Browse AI Product Owner roles on Migrate Mate, which lists employers with verified sponsorship history for product and AI roles. This lets you focus your applications on companies already set up to file, rather than educating a first-time sponsor mid-process.
Can I transfer my H-1B to a new employer as an AI Product Owner?
Yes. If you're already in H-1B status, you can start with a new employer as soon as the new petition is filed with USCIS. There's no waiting period between filing and starting work. The new employer must file a fresh I-129 petition and a new LCA certified by DOL, with the job description accurately reflecting your AI product ownership duties at the new company.
What is the prevailing wage requirement for sponsored AI Product Owner 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.