# Staff, AI Product Manager at GSK

GSK is hiring a Staff, AI Product Manager. It pays $172k-$286k a year and Level rates it Works on AI ●●●○; you can [apply on GSK](https://jobsbylevel.com/go/e60adcf9-f890-4971-b906-d606d2d3551f?utm_medium=ai-agent).

AI Level 3, AI centrality 68 out of 100. Remote (USA - Pennsylvania - King of Prussia).

## Details

- Company: [GSK](https://jobsbylevel.com/companies/gsk)
- AI level: AI Level 3 (score 68 out of 100)
- Location: Remote (USA - Pennsylvania - King of Prussia)
- Salary: $172k-$286k
- Posted: November 10, 2026
- Apply: https://jobsbylevel.com/go/e60adcf9-f890-4971-b906-d606d2d3551f?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=staff-ai-product-manager-at-gsk-1bd039

## Prepare for this job

The job page lists 4 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/staff-ai-product-manager-at-gsk-1bd039

## Description

GSK’s Enterprise AI team turns AI into measurable impact across drug discovery, development, manufacturing, and commercial, with forward deployed teams embedded in the business to build AI products that change outcomes. This role supports GSK’s manufacturing sites, which make, test, and release our medicines and vaccines safely, compliantly, and at scale. Our ambition is autonomous manufacturing: production processes and support systems (training, workforce planning, quality, maintenance, materials) that plan, adapt, and optimise themselves, freeing people for work that needs human judgement. As Staff (Director), AI Product Manager for Manufacturing, you will own the manufacturing AI portfolio, shape the vision for autonomous manufacturing, and partner with site and network leadership to back the right use cases and see them delivered, adopted, and scaled. You will scale existing autonomous programmes, such as training content management and production-floor workforce allocation, and shape what comes next, including autonomous production scheduling. You bring a working understanding of AI, hands-on manufacturing experience, and strong execution and change-management discipline. Why This Role Exists Autonomous manufacturing won’t come from isolated pilots. It needs a clear vision, sharp opportunity selection, disciplined delivery, and business teams who own the change. This role brings those together. In this role, you will: Own the manufacturing AI portfolio and roadmap toward autonomous manufacturing. Quickly assess which use cases are worth pursuing, backed by evidence. Drive delivery from problem framing through deployment, adoption, and value realisation. Lead change management so AI solutions are used, trusted, and sustained. Act as a trusted partner to manufacturing leadership on AI-driven transformation. Responsibilities: This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following: Define, with leadership, what autonomous manufacturing means for GSK sites, the target state by area, and a staged, funded roadmap. Scale the autonomous training content and workforce optimisation programmes to multi-site outcomes. Build the case for autonomous production scheduling and other processes, and move the strongest candidates into delivery. Make capabilities built at one site (data foundations, agents, optimisation engines) reusable across the network. Quickly assess use cases on value, data readiness, feasibility, compliance, and site appetite, and kill weak ideas early. Build finance-ready business cases on throughput, OEE, schedule adherence, right-first-time, labour productivity, training cycle time, and cost avoided. Own a living view of in-flight, queued, and de-prioritised opportunities with clear rationale, feeding the Enterprise AI portfolio Lead engagements end-to-end with FDE and engineering pods, from scope and success criteria through deployment and hand-over. Set milestones, manage dependencies across site, IT/OT, quality, and engineering, and clear blockers from prototype to production. Make trade-offs when sponsors compete for capacity, and push back on work that won’t move outcomes. Build lasting relationships with site, operations, quality, engineering, and learning leaders, and help shape their agenda. Co-own change management, from stakeholder mapping and process redesign to training and adoption tracking, so the floor trusts the new way of working. Quickly read each site’s processes, culture, systems, and data, and tailor the approach accordingly. Coach Senior AI Product Managers on opportunity selection, value cases, and engagement design. Engage VP and site leaders, linking AI progress to manufacturing and patient outcomes clearly and honestly. Track value realisation against each engagement’s original case using Enterprise AI’s framework, and refine the framework as you learn. Run honest post-mortems and feed lessons into

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