AI Product Manager – Enterprise Informatics
Amsterdam - Philips Center, Netherlands
Philips
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AI Product Manager – Enterprise InformaticsJob Description
About Us – Enterprise Informatics at Philips
At Philips, our Enterprise Informatics (EI) business powers smarter healthcare through intelligent, secure, and connected software solutions. From diagnostic imaging to EMR integration and real-time clinical decision support, we help hospitals and health systems unlock the power of data to improve care.
Your Role
We’re not building more apps – we’re transforming how we work. As AI Product Manager, your mission is to embed AI across internal tools and processes to make work radically simpler and faster. From automation to augmentation, your job is to give the repetitive tasks to machines and free people up to do more meaningful work. Your impact will span teams and domains, helping EI become a best-in-class, AI-first organization from the inside out.
What You’ll Do:
Identify high-impact AI use cases across internal domains – from R&D and product to sales, marketing, service, and delivery
Define the AI-first north star for each domain, set measurable success criteria, and identify/prioritize AI use cases to help us get there
Translate problems into clear product requirements – owning epics, features, and user stories to guide development
Partner with external organizations to benchmark, co-develop solutions, and understand what “great” looks like
Drive make-vs-buy decisions based on strategic fit, speed, and scalability
Lead end-to-end development of AI use cases – working closely with AI squads/DevOps and external partners to deliver scalable, usable, and lovable solutions
Define success metrics, measure impact, and continuously iterate to improve
Champion an AI-first culture – Lead the AI-in-EI Center of Excellence and embed AI thinking into how we work across the business
What You Bring:
8+ years of product management or internal transformation experience in complex, fast-moving environments – Ideally with exposure to platform thinking and AI-enabled enterprise solutions
Deep understanding of AI/ML technologies (LLMs, GenAI, retrieval-augmented generation, etc.) and how to responsibly scale their use across workflows and business domains
Strong strategic thinking – you define long-term AI-first visions, break them down into roadmaps, and connect use cases to measurable business value
A track record of delivering high-impact internal tools or platforms – balancing customization with reusability and scale
Experience turning ambiguous problem spaces into clear product requirements, with ownership of epics, features, and user stories
Passion for crafting intuitive, user-friendly solutions – working across design, data, and engineering to simplify complexity
Strong communication and stakeholder engagement skills – you inspire teams, influence decisions, and drive alignment
A builder's mindset with an operator's discipline – comfortable making trade-offs, managing risk, and shipping iteratively while staying aligned to the bigger vision
What to Expect in the Interview Process:
Candidates may complete a case interview to showcase how they would approach a real-world AI use case – defining value, prioritizing scope, and framing the solution. We’re looking for structured thinking, product intuition, and a bias for clarity and action.
How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
This role is an office role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
Learn more about our business here.
Discover our rich and exciting history here.
Learn more about our purpose here.
If you're interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion here.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: DevOps Engineering Generative AI LLMs Machine Learning R RAG R&D
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