# Staff, AI Product Manager at GSK

GSK is hiring a Staff, AI Product Manager. Level rates it Works on AI ●●●○; you can [apply on GSK](https://jobsbylevel.com/go/580a2b1c-50ac-4362-924b-474c4da1a9c5?utm_medium=ai-agent).

AI Level 3, AI centrality 65 out of 100. Bengaluru Luxor North Tower.

## Details

- Company: [GSK](https://jobsbylevel.com/companies/gsk)
- AI level: AI Level 3 (score 65 out of 100)
- Location: Bengaluru Luxor North Tower
- Posted: October 28, 2026
- Apply: https://jobsbylevel.com/go/580a2b1c-50ac-4362-924b-474c4da1a9c5?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=staff-ai-product-manager-at-gsk-03b024

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/staff-ai-product-manager-at-gsk-03b024

## Description

Job Purpose: How This Differs from Traditional Product Management This is not a traditional enterprise product role managing a source system’s roadmap, releases, and backlog. As an AI Product Manager in Enterprise AI, you: Build new AI products from ambiguous, unsolved business problems. Work with probabilistic systems, defining evaluations, acceptable error, and human oversight. Help lead a bionic pod, deciding which work goes to engineers and which to AI agents and workers, and how they hand off. Prototype hands on and are measured on business outcomes Owns the Orchestration and Automation platform tower and its roadmap. Takes consolidation decisions across the low and medium code platform estate. Acts as the platform consultant for business teams building on the estate. Owns the governance model that defines what a citizen developer may build unsupervised Responsibilities : Platform Portfolio & Consolidation Map capability against actual usage across the whole low and medium code estate, and recommend what consolidates, what stays, and what retires. Quantify value rigorously. Build credible business cases that survive finance and senior business unit scrutiny — cycle time saved, manual effort removed, licence cost avoided, automations running in production. Develop deep automation pattern recognition so you can spot the workflows worth automating and the ones that should be fixed at source instead. Strategic Prioritization & Portfolio Shaping Shape the platform roadmap. Maintain a living view of in-flight, queued, and de-prioritized platform work, with the rationale for each decision, and feed it into the broader AI Platforms & Tools portfolio. Make trade-off recommendations. When two business sponsors both want platform investment, define the success metrics, run the analysis, and recommend where effort goes. Protect engineering focus. Push back — with evidence — on opportunities that won’t move scalable outcomes. Required Skills: 16+ years of progressive experience in enterprise platform leadership, with a meaningful part of it spent owning a platform or platform estate end to end: roadmap, architecture direction, operations, and lifecycle. Demonstrated track record of taking a platform from fragmented or underused to well run: consolidation calls made, adoption grown, and the operating model that sustained it. Experience running a platform in a regulated enterprise, with working knowledge of at least one part of the pharma value chain and the data, decisions, and constraints inside it. Solid technical fluency in modern AI/ML, covering LLMs, agentic systems, AI agents and workers, data and evaluation patterns, sufficient to set architecture direction, challenge engineers, scope realistically, and avoid hype-driven choices. Experience leading engineers directly while also leading a far larger citizen developer community through influence, frameworks, and quality of thinking. A platform product heritage: roadmap shaping, lifecycle and version management, vendor and licensing ownership, service levels, and stakeholder alignment across a large and varied user base. Preferred skills : Deep, hands-on Microsoft Power Platform experience is mandatory: Power Apps, Power Automate and Dataverse at enterprise scale, including environment strategy, ALM, licensing, and the governance model around them. Has owned a low or medium code automation platform at enterprise scale and run a citizen developer or self-service programme covering thousands of users, with guardrails that held under pressure. Fluent with the wider low and medium code agent and workflow stacks that sit alongside Power Platform, such as Copilot Studio, n8n, and the equivalents from the major cloud vendors. #AGTech Skills AI Platforms, Change Management, Data Analysis, Microsoft ALM, Microsoft Power Apps, Microsoft Power Automate, Microsoft Power Platform, Roadmap Development, Statistical Analysis, User Needs Analysis Why GSK? Uniting science, technology and talent to

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/staff-ai-product-manager-at-gsk-03b024

Source: https://jobsbylevel.com/jobs/staff-ai-product-manager-at-gsk-03b024

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Level. https://jobsbylevel.com/jobs/staff-ai-product-manager-at-gsk-03b024.

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