Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
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.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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✓
What Glaxosmithkline LLC paid sponsored hires in similar roles3 certified filings for “Principal Scientist, Biologic AI Research and Design” (Medical Scientists, Except Epidemiologists) in MA: $119k–$148k, median $130k.
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✓
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
- 3 certified filings for “Principal Scientist, Biologic AI Research and Design” (Medical Scientists, Except Epidemiologists) in MA: $119k–$148k, median $130k. Most were filed at wage level I (67%) — 1 lottery entry, ≈15% 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
Business Introduction
GSK remains committed to achieving bold commercial ambitions for the future. By 2031, we aim to deliver £40 billion in annual sales, leveraging our existing strong performance momentum to significantly increase our positive impact on the health of billions of patients globally. Our Ahead Together strategy is centered on early intervention to prevent and alter the course of disease, thereby protecting people and supporting healthcare systems.
Our diverse portfolio consists of vaccines, specialty medicines, and general medicines.
Through continuous innovation and a dedicated focus on scientific and technical excellence, we strive to develop and launch new, groundbreaking treatments that address critical health challenges.
Position Summary
The Senior Manager, Product Management – Customer Planning & AI Enablement is responsible for the technology strategy, roadmap, delivery, lifecycle management, and operational excellence of GSK’s Enterprise Account Management and customer planning capabilities, while leading US enablement of enterprise and global AI capabilities for the field organization.
This role serves as the Technology Product Manager for two complementary domains. First, it owns the technology products that provide complete, governed customer and account context for field planning, including Enterprise Account Management, customer and product master data, account hierarchies, HCP affiliations, Data Change Requests, Veeva Link Key Accounts, and Strategic Account Planning / OnePlan. Second, it evaluates, enables, and operationalizes AI capabilities that have been developed or purchased at the enterprise or global level—including Vault CRM AI, Conversational Intelligence, HCP Avatar, Dynamic Coaching, and related capabilities—for appropriate use within the US Commercial field organization.
A critical part of the role is navigating the organizational, technology, risk, and change-management requirements needed to bring enterprise AI capabilities into production. The Senior Manager will operate independently across Legal, Compliance, Privacy, Commercial Operations, Medical, Information Security, Responsible AI, Technology, and business leadership to help stakeholders understand what AI capabilities can do, their limitations, how they compare with other AI capabilities across GSK, and how they can be deployed responsibly within field workflows.
The role will partner closely with the Field Intelligence Product Manager so that insights and outputs generated by enterprise/global AI capabilities can be integrated into the unified Field Intelligence platform, while this role retains accountability for enablement, governance, deployment, and adoption of the source AI capabilities within the US field environment.
Responsibilities
This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:
Technology Product Strategy & Roadmap
• Own the technology vision, product strategy, roadmap, and lifecycle for Enterprise Account Management, customer planning, and US enablement of enterprise/global AI capabilities.
• Define and execute multi-year roadmaps aligned with Commercial priorities, enterprise architecture standards, global technology direction, and the broader Field Technology strategy.
• Identify opportunities to improve customer planning and field effectiveness through better customer data, account planning, AI-enabled workflows, coaching, and automation.
• Assess new enterprise/global AI capabilities for US applicability, readiness, business value, risk, integration needs, and fit with existing Field Technology products.
• Balance capability enablement and new feature delivery with platform stability, data int
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