Senior Product Manager, Content Metadata and Vectorization

Senior Product Manager – Content Metadata and Vectorization (Search and AI) 

About Elsevier 
Elsevier is a global leader in information, analytics, and decision support solutions for science, health, and technology professionals. We help researchers, clinicians, and educators advance knowledge and improve outcomes by delivering trusted content, data, and insights at the moments they matter most. 

Across healthcare, Elsevier partners with clinicians and health systems to support evidence-based decision making, education, and lifelong learning. Our clinical solutions, including ClinicalKey and ClinicalKey AI, are designed to help healthcare professionals quickly find relevant, trusted information and apply it confidently in patient care. 

As part of the RELX Group, Elsevier operates in a global, diverse, and collaborative environment that brings together expertise in content, technology, data science, and product innovation. We invest heavily in digital platforms, search, and AI to ensure our solutions continue to evolve alongside the needs of our users and the communities we serve. 

At Elsevier, we are committed to advancing inclusion, fostering curiosity, and building products that make a meaningful impact on healthcare and society. We value thoughtful problem solving, cross-functional collaboration, and a strong sense of ownership, empowering our teams to shape the future of knowledge-driven decision support. 

About the Role 
Elsevier Clinical Solutions is seeking a Senior Product Manager to own the content metadata and vectorization strategy that powers search and AI-driven experiences across ClinicalKey and ClinicalKey AI. 

This role is responsible for defining how clinical content is represented for machines, spanning lexical metadata, semantic embeddings, and scalable pipelines that support hybrid search and retrieval-augmented generation. The role sits at the intersection of Search, AI, Content, and Platform teams and plays a critical part in ensuring that Elsevier’s clinical content is discoverable, reliable, and usable in high-trust clinical workflows. 

What You Will Own 

Content Representation Strategy 
Define the product vision and strategy for content metadata and vectorization across ClinicalKey and ClinicalKey AI. Establish principles for content granularity, lexical versus semantic representation, and consistency across products and use cases. Ensure alignment between query understanding, retrieval strategies, search relevance, and AI answer quality

. 

Content Vectorization Product Ownership 
Own product decisions related to semantic representation of content, including what content is embedded, appropriate levels of granularity, refresh cadence, and success metrics for vector-based retrieval. Partner with Search and AI teams to evaluate embedding approaches and make informed trade-offs between quality, cost, latency, and scalability. Define requirements to ensure vectorized content supports hybrid retrieval, RAG pipelines, and clinical explainability. 

Metadata and Content Tagging Strategy 
Own the metadata and content tagging roadmap across ClinicalKey and ClinicalKey AI. Define product requirements for clinical concept tagging, content attributes such as specialty, content type, and evidence level, and editorial or trust signals. Ensure metadata supports lexical search relevance, facets, filters, boosts, and transparency, while also enabling safety and groundin