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About the role
- Senior Product Manager to define content metadata and vectorization strategy for ClinicalKey and ClinicalKey AI. Collaborate with cross-functional teams to ensure clinical content discoverability and usability.
Responsibilities
- Define the product vision and strategy for content metadata and vectorization across ClinicalKey and ClinicalKey AI.
- 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.
- Own the metadata and content tagging roadmap across ClinicalKey and ClinicalKey AI.
- Define product requirements for scalable pipelines that support metadata generation, content embedding, re-embedding, monitoring, and quality controls.
- Define and track success metrics related to metadata coverage, quality, and retrieval effectiveness across lexical and semantic systems.
Requirements
- Five or more years of experience as a Product Manager or Senior Product Manager.
- Proven experience owning platform, data, search, or AI-adjacent products in a complex, cross-functional environment.
- Strong ability to partner effectively with Search, AI or ML engineering teams, and content or editorial organizations.
- Demonstrated ability to translate complex technical concepts into clear product strategy, requirements, and success metrics.
- Experience working on search, information retrieval, or AI-powered products.
- Familiarity with metadata systems, taxonomies, embeddings, vector search, or retrieval-augmented generation concepts.
- Experience working with clinical, biomedical, or scientific content domains.
- Background in products that require high levels of precision, trust, and explainability.
Benefits
- country specific benefits
- annual incentive bonus
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