AI Product Owner Jobs in USA with Visa Sponsorship
AI Product Owner roles attract strong H-1B visa and O-1 visa sponsorship from U.S. tech employers because the position requires a specialized blend of machine learning product strategy and technical fluency that qualifies as a specialty occupation under USCIS guidelines. For detailed occupation requirements, see the O*NET profile.
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Your Job
We are seeking a highly collaborative, value-driven and experienced individual to join the Molex Digital Data & AI capability as AI Strategy and Leader working in Data and AI organization. This is a highly visible, strategic and hands-on leadership role that will oversee innovation, development and delivery of applied and agentic AI solutions at Molex. Leading a multifaceted team, you will have end-to-end accountability for AI technology and platform strategy & innovation, project delivery, and talent development. You will be expected to foster a culture of continuous learning, and promote effective collaboration within and outside your group, including functional data scientists, data & AI business partners, data engineering and integration teams. You will establish and execute the vision and roadmap for robust, agile, and compliant AI technology and solutions, ensuring strong governance practices and operational excellence in delivering impactful AI to drive performance to defined business outcomes. This role defines and operationalizes the enterprise AI strategy, architecture, and learning ecosystem in direct support of the company's core business priorities.
Our Team
Our Team Molex is a leading provider of electronic solutions, committed to innovation and excellence. Our team is dedicated to delivering high-quality products and services to our customers worldwide. Join us and be part of a dynamic and forward-thinking organization.
What You Will Do
- AI Leadership and direction: Provide leadership in developing, maintaining, and governing the AI platform and technology to enable secure, scalable, and compliant AI applications throughout Molex's global operations, spanning Supply Chain, Manufacturing, Product Development, business divisions and supporting capabilities.
- Talent Management: Lead, mentor and manage a diverse global team of data scientists, AI engineers and architects. Build a pipeline of talent that can take on increasingly complex projects and lead collaboration initiatives (AI Developers Community of Practice (CoP), technical upskilling, peer review, etc.).
- Operations Excellence: Oversee the delivery lifecycle from requirements discovery, solution design, and through deployment and monitoring of productionized data science and AI applications (MLOps/AIOps).
- AI Technology & Architecture: Provide architectural assurance for AI initiatives in flight. Review designs for scalability, security, and sustainability. Partner with Enterprise Architecture and Architecture Review Board. Prevent technology fragmentation and sprawl.
- AI Governance: Lead and champion best practices in AI governance, stewardship, and quality, ensuring compliance with regulatory and organizational standards (e.g., GDPR, CMMC, PIPL, responsible use of AI etc.) as well as AI FINOPS.
- Partnership and Literacy: Foster partnerships with digital and technology leaders, and external collaborators to accelerate the AI enabled solution delivery and development. Serve as a thought leader for education, awareness, and innovation in enterprise applied and agentic AI. Create POVs and framework for responsible and safe use of AI and create accountability models for AI costs.
Who You Are (Basic Qualifications)
- Significant experience leading multi-disciplinary teams delivering enterprise-scale AI platforms and applications, preferably in with experience in global hi-tech manufacturing organizations.
- Deep expertise in data science methods (ML, AI, statistics) and AI engineering (cloud, MLOps, pipeline orchestration), with mastery of technology and platforms such as Snowflake, Python, R, AWS SageMaker, Spark, orchestration platforms etc.
- Demonstrated ability to define and execute governance frameworks for responsible AI, model lifecycle management, and regulatory compliance.
- Proven ability to drive innovation (whitepapers, roadmaps), develop cross-functional partnerships, and support technology transfer initiatives to embed AI into core business processes.
- Experience mentoring and growing diverse teams, with a focus on inclusion, equity, and continuous learning. Excellent interpersonal skills to work effectively with global groups and to build relationships in a fast-paced environment.
- Self-driven, highly adaptable, and able to quickly master new domains and tools in response to emerging business or technology trends.
- Excellent written, verbal and listening skills for clear and concise communication, documentation, and project management. Keen attention to detail. Strong organizational skills and the ability to manage multiple competing priorities.
For this role, we anticipate paying $150,000 - $250,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form. At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.
Hiring Philosophy
All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here.
Who We Are
At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.
Our Benefits
Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.
Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.
Equal Opportunities
Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please click here for additional information. (For Illinois E-Verify information click here, aquí, or tu).
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Get Access To All JobsTips for Finding Visa Sponsorship as an AI Product Owner
Frame your role as a specialty occupation
USCIS requires a direct relationship between your degree and the role. Emphasize how your background in computer science, data science, or engineering maps specifically to AI product management, not just general product ownership.
Target employers with established AI product teams
Companies with dedicated AI divisions, such as enterprise software firms and cloud platforms, have legal infrastructure for sponsorship already in place and are more likely to initiate H-1B petitions for experienced AI Product Owners.
Quantify your AI product impact in applications
Sponsoring employers justify petitions to USCIS with job duty documentation. Highlight shipped AI features, model performance improvements, and cross-functional team leadership to make the specialty occupation argument concrete and defensible.
Understand the LCA wage tier before negotiating
Your employer files a Labor Condition Application certifying your wage meets prevailing levels for the role and location. Knowing which DOL wage tier your experience level falls under helps you negotiate from an informed position.
Consider O-1A if you have notable AI credentials
Published research, conference presentations, open-source contributions, or recognition in AI communities can qualify you for the O-1A extraordinary ability visa, which bypasses the H-1B lottery entirely and has no annual cap.
Start conversations with employers before the H-1B window
H-1B registration opens in March for an October 1 start date. Securing an offer three to four months earlier gives your employer time to prepare the petition and allows premium processing if your start date is time-sensitive.
Frequently Asked Questions
Does an AI Product Owner role qualify as an H-1B specialty occupation?
Yes, AI Product Owner roles regularly qualify as specialty occupations when the position requires a bachelor's degree or higher in a specific field such as computer science, data science, or engineering. The key is demonstrating that the role demands specialized theoretical and practical knowledge of AI and machine learning systems, not just general business or product management skills. Employers whose job descriptions require technical fluency in model evaluation, ML pipelines, or AI ethics frameworks present the strongest cases.
What degree does a sponsor need to document for an AI Product Owner H-1B petition?
The employer's H-1B visa petition must show the role normally requires at least a bachelor's degree in a specific related field. For AI Product Owner positions, computer science, data science, engineering, or information systems degrees are the strongest fit. A general business or management degree alone can create complications unless paired with graduate-level AI coursework or equivalent documented technical experience, since USCIS scrutinizes whether the degree-to-role connection is specific enough.
How do approval rates look for H-1B petitions in AI product management roles?
Approval rates for AI and technical product roles have remained high relative to non-technical positions, largely because employers at established tech companies can document a clear degree requirement. USCIS denial risk increases when the job description is written too broadly or resembles a general manager role rather than a technically specialized one. Working with an experienced immigration attorney to draft the job duties section significantly reduces the chance of a Request for Evidence.
Can I find AI Product Owner jobs with H-1B sponsorship in one place?
Migrate Mate is built specifically for this search. It filters job listings by sponsorship willingness so you're not cold-applying to roles where the employer has no infrastructure or history of sponsoring visas. AI Product Owner roles on Migrate Mate are sourced from employers already familiar with the H-1B process, which reduces the friction of raising the sponsorship question early in the interview cycle.
Is the O-1A visa a realistic alternative for AI product professionals who miss the H-1B lottery?
For AI Product Owners with a track record of recognized contributions, the O-1A is a genuine alternative. USCIS evaluates O-1A petitions on criteria including published work, judging others' contributions, original contributions of major significance, and high-remuneration evidence. Conference talks at NeurIPS, ICLR, or industry AI events, open-source projects with significant adoption, or advisory roles at AI startups can all contribute toward meeting the standard. Unlike the H-1B, there's no cap and no lottery.
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.