H-1B Visa Senior AI Product Manager Jobs
Senior AI Product Manager roles sit squarely within H-1B visa specialty occupation territory, requiring at least a bachelor's degree in computer science, engineering, or a related technical field. Employers filing H-1B petitions for this title must certify a prevailing wage through a DOL Labor Condition Application before USCIS can approve your petition.
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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.
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Senior AI Product Manager
Frame your portfolio around measurable AI outcomes
USCIS scrutinizes whether Senior AI PM roles genuinely require a specialized degree. Document shipped models, accuracy improvements, and revenue impact to support the specialty occupation argument your employer's attorney will need to make.
Verify prevailing wage before evaluating offers
Run your target job title and location through the OFLC Wage Search before negotiating. Your employer must certify a wage at or above the DOL Level I–IV threshold, and accepting below that level is legally impermissible regardless of what you agree to.
Target employers with active H-1B LCA filings for product roles
Use Migrate Mate to filter employers by verified DOL Labor Condition Application history for AI and product management roles, so you're applying to companies that have already navigated H-1B sponsorship for this job type.
Clarify cap-subject status during the offer stage
Ask whether the employer is cap-exempt before accepting an offer. Universities, nonprofit research institutions, and certain government-affiliated entities can file H-1B petitions year-round without lottery exposure, which changes your start-date timeline significantly.
Request premium processing when your OPT end date is close
If your OPT expires within months of a petition filing, ask the employer to pay for USCIS premium processing. Standard adjudication can run several months, and a cap-gap period only protects you if the petition is filed before your EAD expires.
Map your degree against O*NET before interviews
Pull the O*NET occupation profile for your target job title and confirm your degree field aligns with the listed education requirements. A clear degree-to-role match makes the specialty occupation determination straightforward for your employer's LCA and I-129 filing.
H-1B Visa Senior AI Product Manager: Frequently Asked Questions
Does a Senior AI Product Manager role qualify as an H-1B specialty occupation?
Yes, provided the position requires at least a bachelor's degree in a specific technical field such as computer science, engineering, or a closely related discipline. Generic product management experience alone isn't enough. The employer must demonstrate in the I-129 petition that the role's core duties require that specialized degree, not just that a degree is preferred.
How do I find employers who actually sponsor H-1B visas for AI product roles?
Browse Senior AI Product Manager listings on Migrate Mate, which surfaces employers with verified DOL Labor Condition Application filing history for this job category. This filters out postings from companies that list H-1B sponsorship as a possibility but have no documented record of filing petitions for product or AI roles.
What happens to my H-1B petition if I switch from one AI PM role to a more senior one at the same company?
A material change in duties, title, or location requires the employer to file an amended H-1B petition with USCIS before the change takes effect. Moving into a Director or VP of AI Product role mid-status without amending can put your legal status at risk, so confirm with the employer's immigration counsel before accepting an internal promotion.
Can an employer rescind H-1B sponsorship after filing the LCA but before submitting the I-129?
Yes. The LCA is a DOL certification, not a binding employment contract. An employer can withdraw sponsorship at any point before or after USCIS approval, though they are liable for return transportation costs if they terminate you after you've relocated. Get any sponsorship commitment documented in your offer letter before resigning from a current role.
How does the H-1B lottery affect my timeline for starting an AI PM role?
If the employer is cap-subject, your petition enters the annual lottery in March for an October 1 start date. If you're not selected, you can't start in that fiscal year under H-1B unless the employer is cap-exempt. Planning your job search around the March registration window and having a cap-gap or OPT backup is standard practice for F-1 holders in this situation.