Senior Product Manager, Content Metadata And Vectorization

Elsevier

Base: $104,900 - $174,700; bonus/equity: eligible ...
Hybrid
Content representation strategy
Content vectorization product ownership
Metadata and content tagging strategy
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

Job Summary

  • 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.
  • The decisions made in this role directly influence search relevance, AI answer quality, and the ability of clinicians to access reliable information at the point of care.

Matching Summary

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.

Salary

Base: $104,900 - $174,700; Bonus/Equity: eligible for annual incentive bonus; Benefits: country specific benefits

Skills & Requirements

Must-have

  • Content representation strategy
  • Content vectorization product ownership
  • Metadata and content tagging strategy
  • Scalable pipelines for metadata and embedding
  • Metrics, governance, and quality for content representation

Nice-to-have

  • High-trust clinical workflows
  • Retrieval-augmented generation
  • Clinical explainability
  • Automated tagging with editorial workflows
  • Evidence-based decision making

Key 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
  • 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

Work Rights

Not specified

Tailored Resume

Cover Letter