H-1B Visa AI Product Owner Jobs
AI Product Owner roles sit at the intersection of machine learning systems and business strategy, making them strong candidates for H-1B visa specialty occupation classification. Employers filing LCAs for this title typically use SOC codes tied to computer occupations, and the role's degree requirement in computer science, data science, or a related technical field supports petition approval.
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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).
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 313+ H-1B Visa AI Product Owner Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as an AI Product Owner
Map your role to the right SOC code
AI Product Owner petitions are filed under SOC codes for software developers or computer and information systems managers. Confirm which code your employer plans to use before the LCA is submitted, since it determines your prevailing wage level and affects petition defensibility.
Verify the specialty occupation connection
USCIS scrutinizes product roles for degree specificity. Pull the O*NET profile for your target SOC code and confirm it lists a bachelor's degree in a directly related field as a typical entry requirement, then document how your actual duties align.
Search LCA filings to target active sponsors
Use Migrate Mate to filter employers by H-1B LCA filing history for AI and product management occupations. This shows you which companies have already cleared DOL certification for similar roles, cutting your search time significantly.
Check prevailing wage before negotiating salary
Run the OFLC Wage Search for your job title and work location before your offer call. Your offered salary must meet the DOL prevailing wage for the specific SOC code and geographic area, and going in informed prevents last-minute petition complications.
Flag AI tool ownership in your job description
If your role involves owning a model pipeline or making architectural decisions about AI systems, ensure the written job description captures that. Vague product language weakens the specialty occupation argument; specific technical responsibilities strengthen the I-129 petition narrative.
Time your transfer around premium processing windows
If you're changing employers mid-status, your 60-day grace period starts when your current employment ends. Premium processing reduces USCIS adjudication to 15 business days, which matters when your start date and grace period deadline are close together.
H-1B Visa AI Product Owner: Frequently Asked Questions
Does an AI Product Owner role qualify as a specialty occupation for H-1B purposes?
Yes, if the job description requires a bachelor's degree or higher in a specific technical field such as computer science, data science, or engineering. Generic product management duties alone may not meet the bar. Roles that include hands-on AI system ownership, model evaluation, or technical roadmap decisions are more defensible because USCIS looks for a direct relationship between the required degree and the job's core duties.
Which SOC code do employers typically use when filing an H-1B for an AI Product Owner?
Most employers file under either 15-1252 (Software Developers) or 11-3021 (Computer and Information Systems Managers), depending on how technical the role is. The choice affects the DOL prevailing wage level and the O*NET profile used to support specialty occupation. Ask your employer's immigration counsel which code they plan to use before the LCA is submitted, since switching later delays certification.
How do I find employers who are actively sponsoring H-1B visas for AI Product Owner roles?
Migrate Mate lets you filter job listings by verified LCA filing history, so you can identify companies that have already obtained DOL certification for AI and product management titles. This is more reliable than assuming any company that posts an AI Product Owner role will sponsor, since LCA filings confirm actual H-1B intent rather than just hiring interest.
Can an AI Product Owner role be filed as cap-exempt?
Possibly, if your employer is a qualifying institution such as a university, a nonprofit affiliated with one, or a government research organization. Most AI product roles at tech companies and startups are cap-subject, meaning you'd need to go through the annual H-1B lottery. If you're already in H-1B status and changing employers, your new petition is also cap-exempt under portability rules established by AC21.
What documentation strengthens an H-1B petition for an AI Product Owner?
A detailed job description that ties specific duties to your degree field is the foundation. Supporting documents include your academic transcripts, any credentials in machine learning or product management, and a letter from the employer explaining why the role requires a technically specialized degree. If your degree field doesn't exactly match the job title, a credentials evaluation showing equivalency can fill the gap for USCIS adjudication purposes.