Senior AI Product Manager Jobs in USA with Visa Sponsorship
Senior AI Product Manager roles attract strong H-1B visa and O-1 visa sponsorship interest from U.S. tech employers. Most require a bachelor's degree in computer science, engineering, or a related field, and several years of product experience in machine learning or AI-driven products. For detailed occupation requirements, see the O*NET profile.
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This role has been designed as ‘Onsite’ with an expectation that you will primarily work from an HPE office.
Who We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
Job Description:
Job Family Definition:
Designs, plans, develops and manages a product or portfolio of products throughout the solution portfolio lifecycle: from new product definition or enhancements to existing products; planning, design, forecasting, and production; to end of life.
Management Level Definition:
Contributions impact technical components of HPE products, solutions, or services regularly and sustainable. Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Provides expertise and partnership to functional and technical project teams and may participate in cross-functional initiatives. Exercises significant independent judgment to determine best method for achieving objectives. May provide team leadership and mentoring to others.
Responsibilities:
- Strategy and Roadmap: Define the vision for AI-driven initiatives, determining build vs. buy decisions and setting long-term AI strategy.
- Technical Collaboration: Work closely with AI engineers, data scientists, and developers to guide model development, evaluate algorithms, and ensure technical feasibility.
- Data and Model Management: Define training data requirements, set model performance benchmarks, and monitor data quality, bias, and accuracy.
- Product Lifecycle Management: Manage the entire process from conceptualization and data acquisition to deployment, testing, and continuous iteration based on user feedback.
- Cross-Functional Leadership: Act as the bridge between technical teams and non-technical stakeholders, translating complex technical limitations into business impacts.
- Leads and drives the end-to-end strategy and operational product roadmap for one or more products.
- Defines the value proposition, target customer segments, and business case to bring one or more innovative and disruptive products to market with respect to the whole company product portfolio (i.e. Product configuration mix, Revenue/Margins, financials, market share).
- Synthesizes market requirements (MRD) into marketing/customer details through having intimate customer knowledge and business, financial and industry market acumen.
- Advises key stakeholders on the portfolio strategy across all phases of the lifecycle (e.g., planning, development, launch, management, exit).
- Creates and drives goal alignment and collaborates across one or more products' value chain partners to optimize margins and enable success of products per plans across the product lifecycle. (i.e. Engineering: product development, Supply Chain: SKUs, inventory and Marketing: marketing and pricing strategies and Go To Market Plan).
Education and Experience Required:
- Bachelor's degree or equivalent in computer science, engineering or related field of study. MBA or advanced degree in computer science or engineering preferred.
- 8+ years of work experience in related field.
- Technical understanding and knowledge of the relevant industry.
Knowledge and Skills:
- Expert team skills and ability to cross functionally drive/influence work through others, ability to mentor and lead teams to achieve results for complex, ambiguous projects.
- Expert skills in cost efficient solution building, financial performance metric creation and analysis.
- Expert business acumen and knowledge of root cause analysis and problem detection.
- Technical understanding and knowledge of the relevant industry and ability to provide product specific technical training to the team.
What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
Job: Engineering
Job Level: TCP_04
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 120,500 - 276,500 in Texas
The listed salary range reflects base salary. Variable incentives may also be offered. Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
Recruitment Fraud Alert
We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
Senior AI Product Manager
This role has been designed as ‘Onsite’ with an expectation that you will primarily work from an HPE office.
Who We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
Job Description:
Job Family Definition:
Designs, plans, develops and manages a product or portfolio of products throughout the solution portfolio lifecycle: from new product definition or enhancements to existing products; planning, design, forecasting, and production; to end of life.
Management Level Definition:
Contributions impact technical components of HPE products, solutions, or services regularly and sustainable. Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Provides expertise and partnership to functional and technical project teams and may participate in cross-functional initiatives. Exercises significant independent judgment to determine best method for achieving objectives. May provide team leadership and mentoring to others.
Responsibilities:
- Strategy and Roadmap: Define the vision for AI-driven initiatives, determining build vs. buy decisions and setting long-term AI strategy.
- Technical Collaboration: Work closely with AI engineers, data scientists, and developers to guide model development, evaluate algorithms, and ensure technical feasibility.
- Data and Model Management: Define training data requirements, set model performance benchmarks, and monitor data quality, bias, and accuracy.
- Product Lifecycle Management: Manage the entire process from conceptualization and data acquisition to deployment, testing, and continuous iteration based on user feedback.
- Cross-Functional Leadership: Act as the bridge between technical teams and non-technical stakeholders, translating complex technical limitations into business impacts.
- Leads and drives the end-to-end strategy and operational product roadmap for one or more products.
- Defines the value proposition, target customer segments, and business case to bring one or more innovative and disruptive products to market with respect to the whole company product portfolio (i.e. Product configuration mix, Revenue/Margins, financials, market share).
- Synthesizes market requirements (MRD) into marketing/customer details through having intimate customer knowledge and business, financial and industry market acumen.
- Advises key stakeholders on the portfolio strategy across all phases of the lifecycle (e.g., planning, development, launch, management, exit).
- Creates and drives goal alignment and collaborates across one or more products' value chain partners to optimize margins and enable success of products per plans across the product lifecycle. (i.e. Engineering: product development, Supply Chain: SKUs, inventory and Marketing: marketing and pricing strategies and Go To Market Plan).
Education and Experience Required:
- Bachelor's degree or equivalent in computer science, engineering or related field of study. MBA or advanced degree in computer science or engineering preferred.
- 8+ years of work experience in related field.
- Technical understanding and knowledge of the relevant industry.
Knowledge and Skills:
- Expert team skills and ability to cross functionally drive/influence work through others, ability to mentor and lead teams to achieve results for complex, ambiguous projects.
- Expert skills in cost efficient solution building, financial performance metric creation and analysis.
- Expert business acumen and knowledge of root cause analysis and problem detection.
- Technical understanding and knowledge of the relevant industry and ability to provide product specific technical training to the team.
What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
Job: Engineering
Job Level: TCP_04
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 120,500 - 276,500 in Texas
The listed salary range reflects base salary. Variable incentives may also be offered. Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
Recruitment Fraud Alert
We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
See all 322+ Senior AI Product Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior AI Product Manager roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Senior AI Product Manager
Target AI-native companies first
Companies building core AI products, not just integrating AI features, file LCAs for Senior AI PMs at far higher rates. These employers have established sponsorship pipelines and legal teams already set up to process H-1B petitions efficiently.
Frame your degree as qualifying
USCIS requires a specific bachelor's degree for specialty occupation approval. Computer science, engineering, and information systems degrees align well. If your degree is in a different field, document how your coursework directly supports AI product work.
Emphasize quantifiable AI outcomes
Sponsoring employers face USCIS scrutiny on specialty occupation. Demonstrating measurable outcomes, like model accuracy improvements or revenue attributed to AI features you shipped, strengthens both your candidacy and the employer's petition documentation.
Understand the H-1B lottery timing
H-1B registrations open in March for an October 1 start date. If you're interviewing in late spring or summer, your start date will likely be October of the following year unless you're already in H-1B status or qualify for cap-exempt roles.
Ask about O-1A eligibility early
Senior AI PMs with published research, conference speaking credits, or documented industry recognition may qualify for an O-1A visa. Unlike H-1B, there's no lottery and no annual cap, making it a faster path for candidates who meet the criteria.
Check employer LCA history before applying
The Department of Labor publishes certified LCA filings, showing which companies have sponsored similar roles before. Applying to employers with a track record of sponsoring product management positions significantly improves your chances of receiving an offer that includes sponsorship.
Frequently Asked Questions
Do Senior AI Product Manager roles qualify as specialty occupations for H-1B purposes?
Most do, but it depends on how the employer defines the role. USCIS requires that a bachelor's degree in a specific field, typically computer science, engineering, or a closely related discipline, be a minimum requirement for the position. Senior AI PM roles that require deep technical knowledge of machine learning systems generally qualify. Roles written as general product management positions with AI as a secondary focus can face more scrutiny during adjudication.
Which visa types do employers typically sponsor for Senior AI Product Managers?
H-1B visa is the most common path. Employers may also consider the O-1A for candidates with demonstrated extraordinary ability in AI, such as published research, patents, or significant industry recognition. Australians should ask about E-3 visa eligibility, which has no annual lottery. TN visa status is available to Canadians and Mexicans whose roles qualify under the USMCA professional categories. Browse open roles on Migrate Mate to filter by visa type and sponsorship availability.
Does a non-technical degree hurt my chances of H-1B approval as an AI PM?
It can complicate the petition. USCIS evaluates whether your specific degree, not just any bachelor's degree, is required for the role. If your degree is in business, economics, or a non-technical field, your employer's attorney will need to argue that your education combined with your work experience satisfies the specialty occupation standard. Strong AI domain experience and coursework in data science or statistics can support that argument, but approval is less certain than it is for engineering or computer science graduates.
What approval rates should I expect for H-1B petitions in product management roles?
USCIS approval rates for product management roles have historically ranged from the low 80s to mid 90s percentage-wise, depending on how the role is framed and which employer files the petition. Roles with vague job descriptions or degree requirements that lack specificity draw higher rates of Requests for Evidence. Senior-level AI PM roles at established tech companies with experienced immigration counsel tend to see stronger approval outcomes than early-stage startup filings.
Can I switch employers mid-H-1B as a Senior AI Product Manager?
Yes. H-1B portability allows you to start working for a new employer as soon as they file an H-1B transfer petition on your behalf, without waiting for approval, as long as your prior H-1B was approved and you haven't been out of status. The new employer files a new I-129 petition describing the AI PM role in terms that satisfy specialty occupation requirements. Your prior approval does not automatically carry over, so the role description matters for each new petition.
What is the prevailing wage requirement for sponsored Senior 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.