Jobs / United States / Glaxosmithkline LLC

Glaxosmithkline LLC

Senior Product Manager, AIML

2 Locations Posted today

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Skills this job asks for

Machine learningProduct managementAgileCompliance

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 39 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Glaxosmithkline LLC paid sponsored hires in similar roles1 certified filing for “Sr Manager - Oncology Commercial Analytics, Multiple Myeloma” (Data Scientists) in PA: $135k–$135k, median $135k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 39 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Glaxosmithkline LLC paid sponsored hires in similar roles
1 certified filing for “Sr Manager - Oncology Commercial Analytics, Multiple Myeloma” (Data Scientists) in PA: $135k–$135k, median $135k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

Are you passionate about harnessing the power of AI to revolutionize healthcare? At GSK, we envision a future where advanced machine learning and AI applications drive the development of breakthrough therapies, enabling personalized treatments that yield better outcomes, reduce costs, and minimize side effects. If you're excited by the challenge of pushing the boundaries of technology to solve some of the world's most pressing health issues, we'd love to have you on our team.   The Role: Senior Product Manager   As a Senior Product Manager, AI/ML at GSK, you’ll be at the forefront of our innovative journey, leading the end-to-end development of AI-driven products that will shape the future of healthcare. This role offers you the unique opportunity to work independently on complex problems, collaborating closely with our highly skilled internal and external technical teams. Your mission? To define, develop, and deliver AI products that meet the needs of today and anticipate the demands of tomorrow.   You’ll be responsible for every stage of the product lifecycle—from ideation to launch—ensuring that our AI/ML platforms are not only cutting-edge but also aligned with GSK's broader delivery strategy. You'll work closely with senior leaders, leveraging your deep understanding of data, ML methodologies, and software engineering processes to drive innovation and deliver products that make a real impact.   Why You’ll Love Working Here:   Innovative Product Management: You'll have the autonomy to shape the vision and strategy for groundbreaking AI products, using your expertise to turn complex challenges into simple, effective solutions.   Cutting-Edge Technology: Work at the intersection of science and technology, taking advantage of GSKs wealth of data and leading the development of products that use the latest in machine learning to improve patient outcomes.   Collaborative Environment: Engage with cross-functional teams and senior leaders across the company, building strong relationships that foster innovation and ensure successful product deployment.   Mission-driven impact: Your work connects directly to patients. Our stakeholders are expert scientists who will challenge your thinking and sharpen your analysis, and your outcomes steer real programs backed by significant investment and meaningful patient impact. Agile Work Culture: Thrive in an environment that values agility, continuous learning, and iterative development, where your ideas can quickly translate into impactful products.   Key Responsibilities: • Define AI Product Goals: Assess the objectives of each AI product, clearly articulating the 'why' and the 'what,' along with establishing metrics to measure success. • Strategic Definition & Execution: Understand the broader delivery and data strategy and ensure successful execution of plans. • Technical Expertise: Leverage strong analytical skills, knowledge of software engineering best practices, coding, and integration with agentic frameworks to drive product development. •  Product Focus: Maintain a sharp focus on improving and delivering products by ensuring clear communication across teams and stakeholders, aligned with agreed goals and timelines. •  Agile Methodology: Utilize Agile practices in iterative development, with a strong emphasis on inspection, adaptation, and continuous improvement. •  Customer Advocacy: Act as the voice of the customer or user through thorough discovery processes and addressing unmet needs. •  Data Management: Accountable for defining and driving data requirements & strategies to ensure proper sequencing in model development, ensuring timely project delivery. •  Risk and Governance: Contribute to the effective management of the AI Risk register and uphold GSK’s data governance stan

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