Staff Product Manager Jobs in USA with Visa Sponsorship
Staff Product Manager roles qualify for H-1B visa sponsorship as a specialty occupation requiring a bachelor's degree in a directly related field. Employers file a Labor Condition Application before sponsoring, and many large tech and enterprise software companies have active H-1B filing histories for this title.
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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 2,084+ Staff Product Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Staff Product Manager roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Staff Product Manager
Align your degree to the role
Staff PM roles require a specialty occupation degree match. A computer science, information systems, or engineering degree ties directly to the role. An unrelated degree, even with years of PM experience, can trigger a Request for Evidence from USCIS.
Search LCA filings by job title
Use Migrate Mate to find employers with verified H-1B Labor Condition Applications filed specifically for Staff Product Manager titles, so you're targeting companies that have already cleared the DOL approval step for this exact role.
Check prevailing wage tiers before applying
Staff PM roles often sit at wage Level III or IV under DOL's four-tier system. Run the OFLC Wage Search for your target metro before accepting an offer to confirm the offered salary meets the LCA-certified prevailing wage for your location.
Target companies with cap-exempt pathways
Employers affiliated with universities, nonprofits, or government research organizations can file H-1B petitions outside the annual cap and lottery. Staff PM roles at these institutions are a direct route to H-1B status without waiting for a lottery selection.
Get your I-20 or I-94 timeline clear before negotiations
If you're on OPT or STEM OPT, your authorization end date affects when an employer needs the H-1B petition filed. Provide your DSO with the offer letter early so the transition timeline is documented and both you and the employer agree on the start date.
Clarify PERM intent for green card conversations
Staff-level PMs are often on a faster track to EB-2 or EB-3 sponsorship than IC roles. Ask directly during offer negotiation whether the employer starts PERM labor certification and what their typical timeline looks like from H-1B to green card filing.
Frequently Asked Questions
Does a Staff Product Manager role qualify as a specialty occupation for H-1B purposes?
Yes, in most cases. USCIS evaluates whether the role normally requires at least a bachelor's degree in a directly related field. For Staff PM roles at tech and enterprise companies, the job description typically references requirements in computer science, engineering, or information systems. Vague job postings that list a degree as preferred rather than required can complicate the specialty occupation determination, so it's worth reviewing how the employer frames the requirement before applying.
Which visa types are realistic for Staff Product Manager candidates?
H-1B is the primary path for most Staff PM candidates, as the role meets the specialty occupation standard. Australians can use the E-3 visa, which carries no lottery and has a 10,500 annual cap that has never been exhausted. Chilean nationals may use the H-1B1 visa and Singapore nationals the H-1B1 with an 18-month initial period. TN visa status does not cover product management roles, as the occupation does not appear on the USMCA profession list.
How do I find Staff Product Manager jobs that offer visa sponsorship?
Migrate Mate lists employers with verified H-1B and E-3 LCA filing histories for Staff PM roles, so you can browse companies that have already sponsored this title rather than guessing from general job postings. This is more reliable than applying broadly and asking about sponsorship late in the process.
Does the H-1B lottery affect Staff Product Manager candidates differently than other roles?
The lottery applies equally to all cap-subject H-1B petitions regardless of job title. However, Staff PMs with an advanced degree from a U.S. institution are entered into the 20,000 advanced-degree exemption pool first, which improves selection odds. The H-1B cap and lottery rules have changed recently, and USCIS publishes updated selection mechanics annually before the registration window opens.
Can a Staff Product Manager self-petition for a green card without employer sponsorship?
A Staff PM can self-petition under the EB-2 National Interest Waiver if the work has national importance and they can show they are well-positioned to advance it without a U.S. employer's backing. Most Staff PMs, however, pursue employer-sponsored EB-2 or EB-3 through PERM labor certification. EB-1A extraordinary ability is another self-petition route but requires documented recognition well above the standard for the occupation.
What is the prevailing wage requirement for sponsored Staff 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.