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GSK

Staff, AI Product Manager

GSK is hiring a Staff, AI Product Manager. Level rates it ; you can apply on GSK.

Level's read on this job

  • On Level's scale, this AI product manager role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include AI agents, AI evaluation and AI product.
  • Level classifies it as a lead role.
  • Level lists 981 other open roles at GSK.
  • The role was posted in the last few days.

AI in this role

ai-agentsai-evaluationai-product

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:

As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process.

Please contact our Recruitment Team at IN.recruitment-adjustments@gsk.com to discuss your needs.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

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GlaxoSmithKline does not charge any fee whatsoever for recruitment process. Please do not make payments to any individuals / entities in connection with recruitment with any GlaxoSmithKline (or GSK) group company at any worldwide location. Even if they claim that the money is refundable.

If you come across unsolicited email from email addresses not ending in gsk.com or job advertisements which state that you should contact an email address that does not end in “gsk.com”, you should disregard the same and inform us by emailing askus@gsk.com, so that we can confirm to you if the job is genuine.

 

How we rate this

Staff, AI Product Manager at GSK rates 67 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsAI EvaluationAI Product

Also common in AI product manager jobs at this level

Pay

Typical AI product manager job
$180k

This posting doesn't list pay. Use the typical AI product manager figure when pay comes up. See AI product manager jobs

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. How do you decide that one model's output is better than another's for a given task?
  3. How do you decide which parts of a product should use AI versus a fixed set of rules?
  4. Describe a typical day in a role like this one: which parts run through AI directly?
  5. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: AI agents, AI Evaluation, and AI Product. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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