H-1B Visa Senior AI Product Manager Jobs
Senior AI Product Manager roles sit squarely within H-1B 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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Get Access To All JobsLocation Work from Home
Job Category Business Strategy and Innovations
Schedule Days
Work Type Full time
Department Artificial Intelligence Product Management Division
Date posted 04/20/2026
Job ID R-94618
Job Summary
Why Geisinger: Geisinger is operationalizing AI at scale across one of the nation's most integrated health systems, moving beyond pilots and proof of concepts to build capabilities that change how care is delivered and how operations run. This role works across clinical, operational, health plan, and pharmacy functions alongside AI product development and organizational leadership to identify and advance the AI opportunities that matter most. This role is where AI strategy becomes reality. You will own the product vision and delivery roadmap for a portfolio of clinical and operational AI initiatives, working across one of the most integrated health systems in the country to build solutions that change how care is delivered and how the organization runs. Position Summary: This is a role for someone who wants to lead AI product work that actually matters. You will define and drive the roadmap for AI initiatives across clinical, operational, health plan, and pharmacy domains, taking ideas from discovery through validation, deployment, and scale. You will work closely with data scientists, engineers, clinicians, and operational leaders to build AI solutions that are clinically sound, operationally viable, and genuinely adopted. This is not a role for someone who wants to manage a backlog. It is a role for someone who wants to own outcomes.
Job Duties
Key Responsibilities:
- Define and drive the product vision and roadmap for a portfolio of AI initiatives, balancing clinical impact, operational feasibility, and strategic priority
- Lead AI products through the full lifecycle from problem definition and discovery through build, validation in clinical settings, deployment, and ongoing iteration
- Work directly with clinicians, operational leaders, data scientists, and engineers to translate real world problems into well scoped, buildable AI solutions
- Establish clear success criteria and measurement frameworks for each initiative, tracking performance in production and using data to drive continuous improvement
- Coordinate across product, platform, governance, and clinical teams to keep initiatives moving and ensure the right people are engaged at the right stages
- Evaluate build, buy, and partner options for new capabilities, bringing a rigorous and evidence first perspective to make versus procure decisions
- Ensure AI products meet clinical validation requirements and are ready for frontline use, working with clinical informatics, compliance, and legal stakeholders as needed
- Monitor the competitive and market landscape to identify emerging capabilities and inform how the product roadmap evolves over time
Work is typically performed in an office or remote environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job.
Required Qualifications:
- 5 or more years of product management experience in healthcare, digital health, or a related field
- Demonstrated ability to lead AI or data driven products through full lifecycle delivery in a complex, multi stakeholder environment
- Experience working directly with data scientists and engineers, with enough technical fluency to ask hard questions and make informed tradeoffs
- Strong communication and stakeholder engagement skills, with the ability to build alignment across clinical, operational, and technical audiences
- Deep familiarity with healthcare operations, clinical workflows, revenue cycle, or health plan functions
- Experience defining and tracking product KPIs and using production data to drive iteration and improvement
- Bachelor degree required; advanced degree in health informatics, business, or a related field preferred
Preferred Qualifications:
- Experience with Epic and its AI ecosystem including NoteReader, Cosmos, and the Showroom marketplace
- Familiarity with clinical AI applications across ambient documentation, clinical decision support, revenue cycle, or prior authorization
- Experience working within agile delivery teams in a healthcare or regulated industry environment
- Exposure to AI governance, responsible AI principles, or clinical validation methodologies
Education
Bachelor's Degree-Related Field of Study (Required), Master's Degree-Related Field of Study (Preferred)
Experience
Minimum of 5 years-Related work experience (Required)
Skills
Machine Learning (ML); Vendor Evaluations; Healthcare Environments; Communication; Analytical Skills (Inactive); AI Concepts; Agile development methodologies and tools
About Geisinger
Founded more than 100 years ago by Abigail Geisinger, the system now includes ten hospital campuses, a 550,000-member health plan, two research centers and the Geisinger Commonwealth School of Medicine. With nearly 24,000 employees and more than 1,700 employed physicians, Geisinger boosts its hometown economies in Pennsylvania by billions of dollars annually. Learn more at geisinger.org or connect with us on Facebook, Instagram, LinkedIn and Twitter.
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.
Our Vision & Values
Everything we do is about making better health easier for our patients, our members, our students, our Geisinger family and our communities.
KINDNESS: We strive to treat everyone as we would hope to be treated ourselves.
EXCELLENCE: We treasure colleagues who humbly strive for excellence.
LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow.
INNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation.
SAFETY: We provide a safe environment for our patients and members and the Geisinger family.
Our Benefits
We offer healthcare benefits for full time and part time positions from day one, including vision, dental and prescription coverage.
Location Work from Home
Job Category Business Strategy and Innovations
Schedule Days
Work Type Full time
Department Artificial Intelligence Product Management Division
Date posted 04/20/2026
Job ID R-94618
Job Summary
Why Geisinger: Geisinger is operationalizing AI at scale across one of the nation's most integrated health systems, moving beyond pilots and proof of concepts to build capabilities that change how care is delivered and how operations run. This role works across clinical, operational, health plan, and pharmacy functions alongside AI product development and organizational leadership to identify and advance the AI opportunities that matter most. This role is where AI strategy becomes reality. You will own the product vision and delivery roadmap for a portfolio of clinical and operational AI initiatives, working across one of the most integrated health systems in the country to build solutions that change how care is delivered and how the organization runs. Position Summary: This is a role for someone who wants to lead AI product work that actually matters. You will define and drive the roadmap for AI initiatives across clinical, operational, health plan, and pharmacy domains, taking ideas from discovery through validation, deployment, and scale. You will work closely with data scientists, engineers, clinicians, and operational leaders to build AI solutions that are clinically sound, operationally viable, and genuinely adopted. This is not a role for someone who wants to manage a backlog. It is a role for someone who wants to own outcomes.
Job Duties
Key Responsibilities:
- Define and drive the product vision and roadmap for a portfolio of AI initiatives, balancing clinical impact, operational feasibility, and strategic priority
- Lead AI products through the full lifecycle from problem definition and discovery through build, validation in clinical settings, deployment, and ongoing iteration
- Work directly with clinicians, operational leaders, data scientists, and engineers to translate real world problems into well scoped, buildable AI solutions
- Establish clear success criteria and measurement frameworks for each initiative, tracking performance in production and using data to drive continuous improvement
- Coordinate across product, platform, governance, and clinical teams to keep initiatives moving and ensure the right people are engaged at the right stages
- Evaluate build, buy, and partner options for new capabilities, bringing a rigorous and evidence first perspective to make versus procure decisions
- Ensure AI products meet clinical validation requirements and are ready for frontline use, working with clinical informatics, compliance, and legal stakeholders as needed
- Monitor the competitive and market landscape to identify emerging capabilities and inform how the product roadmap evolves over time
Work is typically performed in an office or remote environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job.
Required Qualifications:
- 5 or more years of product management experience in healthcare, digital health, or a related field
- Demonstrated ability to lead AI or data driven products through full lifecycle delivery in a complex, multi stakeholder environment
- Experience working directly with data scientists and engineers, with enough technical fluency to ask hard questions and make informed tradeoffs
- Strong communication and stakeholder engagement skills, with the ability to build alignment across clinical, operational, and technical audiences
- Deep familiarity with healthcare operations, clinical workflows, revenue cycle, or health plan functions
- Experience defining and tracking product KPIs and using production data to drive iteration and improvement
- Bachelor degree required; advanced degree in health informatics, business, or a related field preferred
Preferred Qualifications:
- Experience with Epic and its AI ecosystem including NoteReader, Cosmos, and the Showroom marketplace
- Familiarity with clinical AI applications across ambient documentation, clinical decision support, revenue cycle, or prior authorization
- Experience working within agile delivery teams in a healthcare or regulated industry environment
- Exposure to AI governance, responsible AI principles, or clinical validation methodologies
Education
Bachelor's Degree-Related Field of Study (Required), Master's Degree-Related Field of Study (Preferred)
Experience
Minimum of 5 years-Related work experience (Required)
Skills
Machine Learning (ML); Vendor Evaluations; Healthcare Environments; Communication; Analytical Skills (Inactive); AI Concepts; Agile development methodologies and tools
About Geisinger
Founded more than 100 years ago by Abigail Geisinger, the system now includes ten hospital campuses, a 550,000-member health plan, two research centers and the Geisinger Commonwealth School of Medicine. With nearly 24,000 employees and more than 1,700 employed physicians, Geisinger boosts its hometown economies in Pennsylvania by billions of dollars annually. Learn more at geisinger.org or connect with us on Facebook, Instagram, LinkedIn and Twitter.
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.
Our Vision & Values
Everything we do is about making better health easier for our patients, our members, our students, our Geisinger family and our communities.
KINDNESS: We strive to treat everyone as we would hope to be treated ourselves.
EXCELLENCE: We treasure colleagues who humbly strive for excellence.
LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow.
INNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation.
SAFETY: We provide a safe environment for our patients and members and the Geisinger family.
Our Benefits
We offer healthcare benefits for full time and part time positions from day one, including vision, dental and prescription coverage.
See all 300+ Senior AI Product Manager jobs
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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.
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Find Senior AI Product Manager JobsSenior AI Product Manager H-1B Visa: 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.
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