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Your North Star: help design, structure, and maintain the clinical, operational, and product knowledge that powers both our clinicians and our AI tools.
Job Responsibility:
Designing & Structuring Knowledge: Organize clinical guidelines, operational workflows, and product documentation into structured, AI- and clinician-friendly formats
Create taxonomies, tagging systems, and metadata to make knowledge searchable and modular by both clinicians and AI agents
Making Knowledge AI-Ready: Partner with product and engineering to prepare knowledge for use in LLM-powered tools (e.g., use of Vertex AI for data organization, RAG pipelines, embeddings, structured content)
Re-architect existing content into smaller, structured, referenceable units
Maintaining & Governing Knowledge: Ensure accuracy, version control, and consistent formatting across knowledge sources
Audit and update content regularly in partnership with clinical and operational stakeholders
Bridging Clinical and Technical Teams: Translate clinical workflows and guidelines into structured knowledge for technical teams
Provide feedback to engineers and data scientists on how knowledge is being consumed by AI tools
Coordinate closely with Clinical Education team who manages clinician-facing knowledge including onboarding to ensure alignment of knowledge
Support clinicians who are using AI tools and accessing organizational knowledge by managing inbound requests/feedback from #help-product
Requirements:
Demonstrated interest or experience in AI/LLMs (e.g., prompt engineering, RAG, embeddings, knowledge graphs, vector databases)
Strong information organization skills: detail-oriented, logical thinker, able to design systems for categorizing and structuring knowledge
Technical literacy — comfortable working with structured content (Markdown, JSON, SQL basics, or similar)
Curiosity about healthcare and clinical workflows (you do not need to be a clinician or but must be eager to learn)
Strong communication skills, able to bridge technical and clinical conversations
Nice to have:
Background in healthcare or clinical operations
Experience with knowledge management tools (Confluence, Notion, Guru, or similar)
Exposure to AI tooling (LangChain, vector DBs, annotation tools)
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