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Elsevier is seeking a Product Manager II for the Apply Portfolio within Healthcare Education. You will own one or more product features from discovery through delivery, launch, adoption and continuous improvement across Shadow Health, SimChart, and other Apply Portfolio offerings.
You will work closely with engineering, design, clinical experts, data teams, customer success, sales, marketing, implementation partners, and academic customers to understand market needs and deliver valuable
Our Company
Elsevier is a global information analytics company that helps institutions and professionals progress science, advance healthcare and improve performance for the benefit of humanity. We serve the research, academic and clinical communities through the application of technology and analytics to content. In this way, we empower those communities to contribute to social progress, to enhance human well-being and to share and expand the breadth of human knowledge.
The Product Manager II, Apply Portfolio will own one or more product features or defined workstreams within Elsevier Healthcare Education's Apply Portfolio, leading execution from discovery through delivery, launch, adoption, and continuous improvement across products including Shadow Health, SimChart, and other current and future Apply Portfolio offerings.
The Apply Portfolio supports healthcare learners and educators through digital products that deliver immersive, practical, and outcomes-focused learning experiences. This role works closely with engineering, design, clinical experts, data and analytics teams, customer success, sales, marketing, implementation partners, and academic customers to understand market needs and deliver valuable solutions across the portfolio.
This is a hands-on product role that combines customer engagement, product discovery, delivery leadership, data analysis, technical collaboration, and go-to-market support. The Product Manager II is a key liaison between customers, internal stakeholders, and cross-functional delivery teams - developing a firsthand understanding of customer needs, translating those needs into clear product requirements, and helping prioritize work that addresses meaningful customer, learner, faculty, and business needs. The successful candidate will be curious about data and AI, comfortable working with analytics, reporting, and AI-enabled tools, and motivated to turn product data into actionable insights.
AI is a growing part of this role - both as a capability to build into the product strategy for owned features and workstreams, and as a tool that helps product managers work faster. This role calls for practical fluency with both, alongside the core product skill set above.