AI Product Manager Jobs in USA with Visa Sponsorship
AI Product Managers are in high demand from H-1B visa and O-1A sponsors alike. Most roles qualify as specialty occupations under H-1B rules, and the technical depth of the work makes strong O-1A cases more achievable than in many other product disciplines. For detailed occupation requirements, see the O*NET profile.
Find AI Product Manager JobsOverview
Showing 5 of 977+ AI Product Manager jobs










See all 977+ AI Product Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Product Manager roles.
Get Access To All Jobs
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).
See all 977+ AI Product Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Product Manager roles.
Get Access To All JobsTips for Finding Visa Sponsorship as an AI Product Manager
Frame your degree as a technical match
USCIS requires a specific connection between your degree field and the role. Computer science, engineering, or cognitive science degrees map cleanly. If your degree is in business or a softer field, emphasize any technical coursework and pair it with AI-specific experience.
Lead with measurable AI outcomes
Sponsors want to see that you've shipped AI products, not just managed teams adjacent to AI. Quantify model performance improvements, adoption rates, or revenue impact. Concrete outcomes make your petition stronger and your offer negotiation easier.
Target companies with established AI infrastructure
Large technology companies and AI-native startups with dedicated ML teams file H-1B and O-1A petitions regularly. They have legal teams familiar with specialty occupation arguments for product roles, which reduces rejection risk and speeds up the process.
Build a case for O-1A eligibility early
Published research, conference talks, open-source contributions, or industry recognition can satisfy O-1A criteria. AI product managers who present at NeurIPS or write influential papers have a credible path to extraordinary ability classification without lottery risk.
Clarify the technical depth of the role upfront
USCIS scrutinizes product manager petitions more than pure engineering roles. Make sure your job description explicitly requires a technical degree and involves hands-on work with model evaluation, data pipelines, or AI system architecture rather than general product strategy.
Address visa status during offer negotiation, not after
Sponsors who are unfamiliar with AI PM sponsorship may hesitate once an offer is extended. Raise your visa needs early, explain the process briefly, and make it clear you've navigated this before. Prepared candidates reduce perceived employer risk significantly.
Frequently Asked Questions
Does an AI Product Manager role qualify as a specialty occupation for H-1B purposes?
Yes, in most cases, but the job description matters. USCIS requires that the role normally requires at least a bachelor's degree in a specific technical field. AI Product Manager roles that explicitly require computer science, engineering, or a related technical degree and involve work with machine learning systems, model evaluation, or AI architecture hold up well under scrutiny. Generic product management roles with AI in the title but no technical degree requirement are more likely to face a Request for Evidence.
Which visa types do employers typically sponsor for AI Product Managers?
H-1B visa is the most common path, though it requires winning the annual lottery. O-1A is a strong alternative for candidates with published research, conference presentations, or recognized contributions to the AI field, since it has no cap or lottery. Some candidates on F-1 OPT, especially those with STEM-designated degrees, use the 24-month STEM extension to buy time while a sponsor files an H-1B visa petition. Browse Migrate Mate to find employers actively sponsoring these visa types for AI product roles.
What degree do I need to qualify for H-1B sponsorship as an AI Product Manager?
A bachelor's degree or higher in computer science, electrical engineering, information systems, or a closely related technical field is the strongest foundation. Degrees in business or general management are harder to tie to an AI PM role under USCIS specialty occupation standards. If your degree is non-technical, a graduate degree in AI, data science, or human-computer interaction can close the gap. Work experience alone rarely substitutes without an education credential in a relevant field.
How do AI Product Manager H-1B petitions perform compared to other product roles?
AI-focused product roles tend to fare better than general product management petitions because the technical requirements are easier to demonstrate. USCIS approval rates for product manager petitions overall have historically been lower than for software engineering, but AI PM roles with strong technical job descriptions and degree requirements hold up better. Employers with experienced immigration counsel who can document the technical nature of AI product work see materially fewer Requests for Evidence.
Can I get sponsored as an AI Product Manager if I'm transitioning from a non-technical background?
It's harder, but not impossible. The key is whether your job offer requires a technical degree. If the employer is willing to document that the role demands computer science or engineering knowledge, and you hold a relevant advanced degree or can demonstrate equivalent technical expertise, a petition can succeed. Roles at AI-native companies with well-defined technical requirements are more defensible than generalist product roles at companies that added 'AI' to the title recently.
What is the prevailing wage requirement for sponsored AI Product Manager 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.