Green Card Senior AI Product Manager Jobs
Senior AI Product Manager roles qualify for EB-2 green card sponsorship when the position requires an advanced degree in computer science, machine learning, or a related field. Employers file PERM labor certification with DOL before sponsoring you for permanent residency, making this a long-term career path rather than a temporary work authorization.
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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 231+ Green Card Senior AI Product Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Senior AI Product Manager Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as a Senior AI Product Manager
Document your AI specialization for PERM
PERM requires your employer to prove the role needs your specific qualifications. Gather evidence of your advanced degree, published research, patents, or specialized ML frameworks experience before your employer files, since DOL audits often request detailed credential records.
Target employers with active EB-2 filing history
Not every tech company runs EB-2 PERM campaigns regularly. Use the OFLC Wage Search to identify employers who have recently certified Senior AI Product Manager or AI/ML product roles, which signals an established internal sponsorship workflow rather than a first attempt.
Clarify the specialty occupation tie to your degree
USCIS scrutinizes whether Senior AI Product Manager roles genuinely require an advanced technical degree versus general business or management credentials. Reference the O*NET profile for this occupation when preparing your job description to strengthen the degree-requirement nexus.
Search for green-card-sponsoring roles on Migrate Mate
Filter specifically for Senior AI Product Manager positions where employers have already committed to employment-based sponsorship. Migrate Mate surfaces these roles by sponsorship type so you spend time on applications that lead to PERM, not dead ends.
Negotiate sponsorship terms before accepting an offer
Confirm in writing whether the employer covers PERM attorney fees and I-140 filing costs, and ask about their priority date policy if you change roles internally. Getting these terms settled at the offer stage prevents disputes after PERM is underway.
Understand concurrent filing if you're EB-2 eligible
If your priority date is current at I-140 approval, you can file I-485 adjustment of status simultaneously, cutting wait time significantly for most countries except India and China. Confirm with your employer's attorney whether concurrent filing is available in your case before PERM is certified.
Green Card Senior AI Product Manager: Frequently Asked Questions
Does a Senior AI Product Manager role qualify for EB-2 or EB-3 sponsorship?
Senior AI Product Manager positions typically qualify for EB-2 when the employer documents that the role requires an advanced degree in computer science, artificial intelligence, or a closely related field. EB-3 is available when the minimum requirement is a bachelor's degree. The distinction matters because EB-2 priority dates are often earlier for most countries outside India and China, which can shorten your path to a green card.
How does green card sponsorship differ from H-1B for this role?
H-1B visa is temporary work authorization renewed in three-year increments with annual cap lottery exposure. PERM-based green card sponsorship targets permanent residency, has no annual numerical cap at the EB-3 level for most countries, and is initiated by your employer through DOL labor certification. The tradeoff is a longer overall timeline, often two to four years from PERM filing to I-485 approval, but the outcome is lawful permanent residency rather than recurring visa renewals.
What makes the PERM audit risk higher for AI product roles?
DOL audits PERM applications more frequently when the job description includes broad duties that could be interpreted as not requiring a specific advanced degree. For Senior AI Product Manager roles, employers should tie duties explicitly to machine learning system design, model lifecycle management, or AI infrastructure decisions rather than general product strategy, which makes the degree requirement harder to dispute in a DOL audit.
Where can I find Senior AI Product Manager jobs that include green card sponsorship?
Migrate Mate lets you filter specifically for Senior AI Product Manager roles where employers have committed to employment-based green card sponsorship, including EB-2 and EB-3 PERM pathways. Searching this way avoids spending time on applications at companies that sponsor only H-1B or that have no established PERM workflow for product and AI roles.
Can I change jobs after my employer files PERM but before I get my green card?
Yes, under AC21 portability rules you can change employers or roles after your I-140 is approved and your I-485 has been pending for at least 180 days, as long as the new role is in the same or a similar occupational classification. For Senior AI Product Manager cases, moving to a comparable AI or technical product management role at a new company generally satisfies the same-or-similar standard, but you should confirm with an immigration attorney before making the switch.