Staff, AI Product Manager

Job Purpose :

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 evaluation portfolio for new AI tools and platforms across Enterprise AI.
• Decides what graduates into a standing platform tower, what holds, and what gets retired.
• Owns the AI developer tooling estate end to end.
• Hands graduated platforms over with a working operating model.
  
  

Responsibilities:

Evaluation & Graduation

• Run every evaluation to a decision. Set the hypothesis, the success bar, the comparison set, and the kill date up front. Keep a live view of what is in flight, on hold, or retired.
• Quantify value rigorously. Build credible adoption and retirement cases that survive finance and architecture scrutiny — engineering hours saved, licence cost avoided, capability gained, duplication removed.
• Tell new capability from repackaging so overlap with what GSK already runs is caught before it becomes duplicate spend.
  
  

Strategic Prioritization & Portfolio Shaping

• Shape the emerging tech portfolio. Keep a living view of in-flight, queued, and retired evaluations with the rationale for each call, and feed it into the AI Platforms & Tools portfolio.
• Make the graduate, retire, or hold call. Decide which tower receives a graduating platform, and hold the decision date when the organisation would rather extend it.
• Protect the estate from sprawl. Say no, with evidence, to tools that look attractive but do not change what the organisation can actually do.
  
  

Required skills:

• 16+ years of progressive experience spanning some combination of pharma/life sciences, AI/ML product strategy, and senior product management or strategy roles in technology-led organisations.
• Demonstrated track record of identifying, scoping, prototyping, and shepherding high-value technology or AI initiatives from problem framing through funding into delivery.
• Strong working knowledge of enterprise AI platforms and developer tooling — how they are licensed, entitled, supported, and adopted at scale — and of at least one part of the pharma value chain.
• Solid technical fluency in modern AI/ML — LLMs, agentic systems, AI agents and workers, ML lifecycle, data and evaluation patterns — sufficient to leverage evidence from rapid prototyping to challenge engineers, scope realistically, and avoid hype-driven choices.
• Experience leading a small engineering team while operating with a span of influence far wider than the headcount — leading through frameworks, evidence, and quality of thinking.
• A product management or product-strategy heritage: discovery, opportunity sizing, roadmap shaping, prototyping, and stakeholder alignment — ideally on products whose core behaviour is AI rather than conventional software.
  
  

Preferred skills:

• Hands on with the AI platform ecosystem as a daily practitioner: fluent in how the landscape is categorised, where the category boundaries actually fall, and which capabilities are genuinely distinct from each other.
• Able to evaluate from first principles and to design the evaluation itself: set the hypothesis, the success bar, the comparison set, and the decision date, and defend the method to engineers and vendors alike.
• A proven record of retiring and consolidating technology, including at least one tool killed on evidence.
  
  

#AGTech

Skills

AI Platforms, Artificial Intelligence, Change Management, Data Analysis, Feature Prioritization, Machine Learning (ML), Machine Learning Model Management, ML Platforms, Model Evaluation, Performance Analysis, Product Delivery, Product Design, Product Lifecycle Management (PLM), Product Roadmapping, Product Strategies, Roadmap Development, Statistical Analysis, User Needs Analysis

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.

Inclusion at GSK:

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