Staff AI Product Manager Jobs in USA with Visa Sponsorship
Staff AI Product Manager roles sit at the intersection of machine learning and product strategy, making them strong candidates for H-1B visa and O-1A sponsorship. Most require a bachelor's or master's degree in computer science, engineering, or a related technical field, with demonstrated experience leading AI or ML product development. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
GSK’s Enterprise AI team turns the promise of AI into measurable impact across drug discovery, development, manufacturing, and commercial. Forward deployed teams embed with scientific and business teams to build AI products that change outcomes.
This role sits in Chemical Manufacturing & Control (CMC), the function that turns a validated molecule into a reliably manufactured, quality-assured medicine. Its current mission is to double New Product Introductions (NPIs).
As Staff AI Product Manager, you’ll own a major slice of our opportunity portfolio, shaping how AI transforms GSK’s process development worldwide. With business stakeholders, you’ll prioritize opportunities by feasibility and value, then structure the problem, size the value, prototype hands-on, and turn it into something a forward deployed engineer (FDE) can build against.
You’ll own 10x transformational opportunities in process development acceleration: co-leading self-driving labs and digital twins, advancing in silico modeling and platform models (not point solutions), and agentifying high-value R&D workflows such as document authoring. Working closely with process science data analytics and R&D Tech, you’ll bring creativity grounded in business reality and the execution to deliver measurable impact.
Why This Role Exists
Forward deployed teams are most powerful when paired with sharp opportunity selection. This role ensures our engineers work on the right things. You will:
- Own a domain or capability area within the Enterprise AI opportunity portfolio.
- Identify, size, and shape its highest-value AI opportunities.
- Partner daily with FDE and full-stack engineering leads to steer engagements end-to-end.
- Build the business and executive alignment FDEs need to land and scale.
Responsibilities:
This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:
- Find high-value AI opportunities in your domain and rank them by impact, feasibility, and time-to-value.
- Quantify value rigorously with business cases that withstand finance and senior leadership scrutiny.
- Spot AI-shaped problems in workflows before the business has articulated them.
- Co-lead the self-driving labs redesign, defining the 2033 vision and roadmap for lab automation with FDE pods and automation teams.
- Drive 10x in silico modeling by co-leading the digital twin agenda with an end-to-end platform mindset.
- Accelerate molecule onboarding by defining platform fitness and tracking progress toward halving development time.
- Shape your domain’s portfolio, keeping a living view of in-flight, queued, and de-prioritized opportunities.
- Make trade-off recommendations when sponsors compete for FDE pods, backed by clear metrics and analysis.
- Protect engineering focus by pushing back, with evidence, on low-impact opportunities.
- Partner with FDE and full-stack leads, turning ambiguous problems into clear problem statements, prototypes, and success metrics.
- Shape engagements end-to-end: scope, success criteria, exit conditions, and scaling paths.
- Drive reuse by turning one-off solutions into platform capabilities.
- Engage VP-level leaders to turn ambitions into concrete, fundable AI engagements.
- Build sponsor coalitions that secure data access, change commitment, and air cover.
- Communicate impact in terms of patients, science, and enterprise outcomes.
- Apply the value-realization framework to every engagement and refine it as you learn.
- Run honest post-mortems and feed lessons into opportunity selection.
Why You?
Basic Qualification
We are seeking professionals with the following required skills and qualifications to help us achieve our goals:
- Bachelor’s degree or equivalent experience in technology, computer science, product management, or a related field.
- 10+ years of experience across pharmaceutical or life sciences, artificial intelligence/machine learning (AI/ML) product strategy, or senior product management or strategy roles in technology-led organizations.
- Experience leading technology or AI initiatives from problem framing through funding and into delivery.
- Experience working in at least one area of the pharmaceutical value chain: research and development (R&D), clinical, manufacturing, or commercial.
- Experience applying AI/ML technologies such as large language models (LLMs), agentic systems, knowledge graphs, or data engineering.
- Experience building business cases and sizing value for R&D initiatives.
- Experience in product management or product strategy, including opportunity sizing, roadmap development, and prototyping.
- Experience with modeling, digital twins, self-driving labs, or physical AI initiatives in pharmaceutical R&D or process development, including defining pilots and evaluating results with scientists.
- Experience defining a vision and roadmap for self-driving labs and lab automation in partnership with scientists and automation teams.
- Experience partnering with data analytics, data science, or process science teams on modeling, optimization, and simulation.
- Experience working as a senior individual contributor, leading through influence rather than direct reports.
Preferred Qualification
If you have the following characteristics, it would be a plus:
- Master's or PhD in technology, computer science, product management, or a related field.
- Ability to use evidence from rapid prototyping to challenge engineering choices and scope work realistically.
- Experience leading AI opportunity discovery and problem framing across a major domain such as research and development (R&D), clinical, or supply chain, including building a pipeline ranked by impact, feasibility, and time-to-value.
- Experience co-leading self-driving lab or lab automation initiatives, including automating experiment planning, execution, and data capture, and linking labs to in silico models.
- Experience building value cases and investment recommendations that withstand finance and senior leadership scrutiny, and managing an opportunity portfolio.
- Experience scoping AI engagements end to end, including success criteria, exit conditions, and scaling pathways, and turning one-off solutions into reusable platform capabilities.
- Technical fluency in AI/machine learning, data, and evaluation design, with hands-on use of AI tools and command-line interfaces to automate daily work.
- Experience working within good practice (GxP), regulatory, and data-governance requirements in a regulated environment.
- Experience influencing vice president-level leaders without direct authority, communicating AI impact in terms of patients, science, and business outcomes, and using outcome tracking and post-mortems to improve future work.
Work Arrangement
This role follows a hybrid working model based in the United States. You will spend scheduled time on-site to collaborate and engage with your team and stakeholders. Fully remote work is not available for this position.
Skills
AI Platforms, Change Management, Data Analysis, Feature Prioritization, Machine Learning Model Management, ML Platforms, Model Evaluation, Performance Analysis, Product Delivery, Product Design, Product Lifecycle Management (PLM), Product Roadmapping, Roadmap Development, Statistical Analysis, User Needs Analysis
Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at - usrecruitment.adjustments@gsk.com
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/
INTRODUCTION
GSK’s Enterprise AI team turns the promise of AI into measurable impact across drug discovery, development, manufacturing, and commercial. Forward deployed teams embed with scientific and business teams to build AI products that change outcomes.
This role sits in Chemical Manufacturing & Control (CMC), the function that turns a validated molecule into a reliably manufactured, quality-assured medicine. Its current mission is to double New Product Introductions (NPIs).
As Staff AI Product Manager, you’ll own a major slice of our opportunity portfolio, shaping how AI transforms GSK’s process development worldwide. With business stakeholders, you’ll prioritize opportunities by feasibility and value, then structure the problem, size the value, prototype hands-on, and turn it into something a forward deployed engineer (FDE) can build against.
You’ll own 10x transformational opportunities in process development acceleration: co-leading self-driving labs and digital twins, advancing in silico modeling and platform models (not point solutions), and agentifying high-value R&D workflows such as document authoring. Working closely with process science data analytics and R&D Tech, you’ll bring creativity grounded in business reality and the execution to deliver measurable impact.
Why This Role Exists
Forward deployed teams are most powerful when paired with sharp opportunity selection. This role ensures our engineers work on the right things. You will:
- Own a domain or capability area within the Enterprise AI opportunity portfolio.
- Identify, size, and shape its highest-value AI opportunities.
- Partner daily with FDE and full-stack engineering leads to steer engagements end-to-end.
- Build the business and executive alignment FDEs need to land and scale.
Responsibilities:
This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:
- Find high-value AI opportunities in your domain and rank them by impact, feasibility, and time-to-value.
- Quantify value rigorously with business cases that withstand finance and senior leadership scrutiny.
- Spot AI-shaped problems in workflows before the business has articulated them.
- Co-lead the self-driving labs redesign, defining the 2033 vision and roadmap for lab automation with FDE pods and automation teams.
- Drive 10x in silico modeling by co-leading the digital twin agenda with an end-to-end platform mindset.
- Accelerate molecule onboarding by defining platform fitness and tracking progress toward halving development time.
- Shape your domain’s portfolio, keeping a living view of in-flight, queued, and de-prioritized opportunities.
- Make trade-off recommendations when sponsors compete for FDE pods, backed by clear metrics and analysis.
- Protect engineering focus by pushing back, with evidence, on low-impact opportunities.
- Partner with FDE and full-stack leads, turning ambiguous problems into clear problem statements, prototypes, and success metrics.
- Shape engagements end-to-end: scope, success criteria, exit conditions, and scaling paths.
- Drive reuse by turning one-off solutions into platform capabilities.
- Engage VP-level leaders to turn ambitions into concrete, fundable AI engagements.
- Build sponsor coalitions that secure data access, change commitment, and air cover.
- Communicate impact in terms of patients, science, and enterprise outcomes.
- Apply the value-realization framework to every engagement and refine it as you learn.
- Run honest post-mortems and feed lessons into opportunity selection.
Why You?
Basic Qualification
We are seeking professionals with the following required skills and qualifications to help us achieve our goals:
- Bachelor’s degree or equivalent experience in technology, computer science, product management, or a related field.
- 10+ years of experience across pharmaceutical or life sciences, artificial intelligence/machine learning (AI/ML) product strategy, or senior product management or strategy roles in technology-led organizations.
- Experience leading technology or AI initiatives from problem framing through funding and into delivery.
- Experience working in at least one area of the pharmaceutical value chain: research and development (R&D), clinical, manufacturing, or commercial.
- Experience applying AI/ML technologies such as large language models (LLMs), agentic systems, knowledge graphs, or data engineering.
- Experience building business cases and sizing value for R&D initiatives.
- Experience in product management or product strategy, including opportunity sizing, roadmap development, and prototyping.
- Experience with modeling, digital twins, self-driving labs, or physical AI initiatives in pharmaceutical R&D or process development, including defining pilots and evaluating results with scientists.
- Experience defining a vision and roadmap for self-driving labs and lab automation in partnership with scientists and automation teams.
- Experience partnering with data analytics, data science, or process science teams on modeling, optimization, and simulation.
- Experience working as a senior individual contributor, leading through influence rather than direct reports.
Preferred Qualification
If you have the following characteristics, it would be a plus:
- Master's or PhD in technology, computer science, product management, or a related field.
- Ability to use evidence from rapid prototyping to challenge engineering choices and scope work realistically.
- Experience leading AI opportunity discovery and problem framing across a major domain such as research and development (R&D), clinical, or supply chain, including building a pipeline ranked by impact, feasibility, and time-to-value.
- Experience co-leading self-driving lab or lab automation initiatives, including automating experiment planning, execution, and data capture, and linking labs to in silico models.
- Experience building value cases and investment recommendations that withstand finance and senior leadership scrutiny, and managing an opportunity portfolio.
- Experience scoping AI engagements end to end, including success criteria, exit conditions, and scaling pathways, and turning one-off solutions into reusable platform capabilities.
- Technical fluency in AI/machine learning, data, and evaluation design, with hands-on use of AI tools and command-line interfaces to automate daily work.
- Experience working within good practice (GxP), regulatory, and data-governance requirements in a regulated environment.
- Experience influencing vice president-level leaders without direct authority, communicating AI impact in terms of patients, science, and business outcomes, and using outcome tracking and post-mortems to improve future work.
Work Arrangement
This role follows a hybrid working model based in the United States. You will spend scheduled time on-site to collaborate and engage with your team and stakeholders. Fully remote work is not available for this position.
Skills
AI Platforms, Change Management, Data Analysis, Feature Prioritization, Machine Learning Model Management, ML Platforms, Model Evaluation, Performance Analysis, Product Delivery, Product Design, Product Lifecycle Management (PLM), Product Roadmapping, Roadmap Development, Statistical Analysis, User Needs Analysis
Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.
Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at - usrecruitment.adjustments@gsk.com
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/
See all 5,837+ Staff AI Product Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Staff AI Product Manager roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Staff AI Product Manager
Lead with your AI product impact, not just titles
Visa officers and hiring teams both want specificity. Quantify how your AI products performed, scaled, or improved. Approval rates for H-1B petitions in product management roles rise when the job description demonstrates clear technical and specialty occupation requirements.
Target companies with established H-1B filing histories
Large technology firms and AI-focused startups with prior H-1B approvals are far more likely to sponsor Staff-level product roles. Their legal infrastructure handles petitions efficiently, reducing delays and lowering the risk of a request for evidence on your application.
Align your degree field to the role description carefully
Staff AI PM roles typically require computer science, data science, or engineering credentials. If your degree is in business or a non-technical field, document relevant coursework, graduate certificates, or extensive ML product experience to close the specialty occupation gap.
Request cap-exempt or fiscal-year timing from your employer
If you're already in the U.S. on F-1 OPT or working at a qualifying research institution, you may qualify for cap-exempt H-1B filing. Clarify your current status with your employer early so sponsorship timelines align with your work authorization expiration date.
Build a portfolio of AI product decisions, not just features shipped
For O-1A extraordinary ability petitions, adjudicators look for evidence of original contributions. Published research, keynote invitations, peer reviews, or documented AI product frameworks you originated carry significant weight beyond standard product management credentials and outcomes.
Negotiate sponsorship terms before accepting an offer
Confirm whether the employer covers H-1B filing fees, premium processing, and legal counsel before signing. Staff-level roles typically have more negotiating leverage than junior positions, and clarifying sponsorship scope upfront prevents costly surprises during the petition process.
Frequently Asked Questions
Can a Staff AI Product Manager role qualify as a specialty occupation for H-1B purposes?
Yes, in most cases. USCIS evaluates whether the position normally requires a bachelor's degree or higher in a specific field. Staff AI PM roles that require computer science, data science, or engineering degrees, and involve technically complex work like designing ML systems or defining model evaluation frameworks, consistently satisfy the specialty occupation standard. Generic product management roles with no technical degree requirement are harder to qualify.
Does a non-technical degree disqualify me from H-1B sponsorship as an AI product manager?
Not automatically, but it creates a harder case. USCIS allows a combination of education and progressive work experience to satisfy degree equivalency, using a three-years-of-experience-per-year-of-missing-education rule. If your degree is in business or a non-STEM field, your employer's attorney will need to document that your specific AI product role requires technical expertise beyond what a generalist degree provides, which typically means attaching detailed technical job duties to the petition.
Are Staff AI Product Manager roles commonly sponsored by employers in the current market?
Yes. AI and machine learning product roles are among the most actively sponsored H-1B visa positions in the technology sector. Companies building foundation models, enterprise AI platforms, and AI-enabled SaaS products regularly file H-1B petitions for Staff PM and above. Migrate Mate surfaces sponsorship-open Staff AI PM roles specifically, so you can filter to employers who have explicitly confirmed they'll sponsor your visa rather than guessing from a job description.
What's the difference between H-1B and O-1A sponsorship for a Staff AI PM, and which is more realistic?
H-1B is the standard path and requires lottery selection unless you're cap-exempt. O-1A is lottery-free but requires evidence of extraordinary ability, such as original AI research contributions, speaking at major industry conferences, or judging peers' work. For most Staff AI PMs, H-1B is the realistic starting point. O-1A becomes viable if you have published work, significant press coverage of your product achievements, or other evidence meeting at least three of the USCIS criteria.
How much scrutiny do USCIS officers apply to AI product manager H-1B petitions compared to engineering roles?
More than engineering, less than pure business roles. USCIS has historically issued requests for evidence on product management petitions when job duties appear managerial rather than technical. Staff AI PM petitions perform best when the job description emphasizes technical responsibilities, such as defining model architectures, leading ML experimentation cycles, or collaborating directly on algorithm design, rather than roadmap management and stakeholder communication alone. Your employer's attorney should draft the petition to foreground technical duties.
What is the prevailing wage requirement for sponsored Staff 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.