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DocPlanner Group is the world's largest healthcare platform, connecting 24 million patients with 280,000 doctors across 13 countries through brands like ZnanyLekarz, Doctoralia, MioDottore, DoktorTakvimi, and jameda. The company operates marketplaces, SaaS, and AI tools that help doctors, clinics, and hospitals work more efficiently.
In this role, you will architect and own the structure of DocPlanner's product knowledge base, serving multiple AI assistants (Kraken for customers, Noa for doctors) and internal teams. Your responsibilities span five major areas:
**Knowledge Structure & Standards**: Define the content model for product knowledge—how facts are organized, labeled, and stored. Establish quality standards requiring every fact to reference its source, ensuring verifiability rather than blind trust. Create a unified structure that serves both customer and doctor-facing assistants without duplication.
**Code-to-Knowledge Extraction**: Work directly in GitHub with read access to the monorepo and other repositories. Extract feature logic and rules from code, translating them into clear, reviewable documentation. Continuously improve the extraction process to reduce manual confirmation over time. Enforce the principle that every new or changed feature generates documentation from code on day one.
**Knowledge Base Migration**: Review the current internal knowledge base article-by-article, deciding whether to migrate, rewrite, replace with code-generated content, or archive each piece. Propose a prioritized work plan based on usage frequency and change velocity. Lead the team through this migration, maintaining quality consistency across markets.
**Team Enablement & Training**: Shift the team's mindset from writing articles to verifying facts. Create working guides, examples, and training sessions. Build skills in writing self-contained facts, reviewing generated content, spotting knowledge gaps, working with repository-based content, and testing AI assistant answers. Serve as the go-to expert when the team needs guidance.
**Non-Code Knowledge Management**: Identify knowledge types not captured in code (market differences, UI wording, patient-facing content, screenshots). Design repeatable processes with Product Managers, Product Marketing, and Product Experts to capture this information. Run review loops with feature owners, presenting facts in formats non-technical stakeholders can quickly verify or reject.
**Keeping Knowledge Current**: Define update triggers and ownership for dozens of monthly releases. Alert the Help Center team when releases invalidate published content, with precision enough to enable quick fixes.
**Cross-Functional Collaboration**: Partner with Product Experts (who feed and test the knowledge base), the Help Center team (who publish customer-facing content), AI assistant owners (Kraken and Noa), and Engineering (for repository access and code changes).
**Requirements**
- 4–7 years of professional experience in technical writing, documentation engineering, knowledge management, developer experience, solutions engineering, or comparable field, with demonstrated ownership. This is not an entry-level role.
- Strong proficiency with Git and GitHub: branches, pull requests, reading diffs, navigating large unfamiliar codebases, and reading code well enough to understand rules and edge cases. Software engineering background is not required; independent repository navigation is.
- Experience designing content structures: small, self-contained content pieces; labels and metadata; standards you defined and enforced across teams. Daily familiarity with Markdown, YAML, or JSON.
- Hands-on experience with documentation stored in repositories: versioned, peer-reviewed, and built like code (not document folders).
- Working knowledge of how AI assistants consume content: retrieval mechanisms, why well-written articles can still produce poor answers, and how to test assistant output rather than assume correctness.
- Proven track record getting busy subject-matter experts to review facts quickly and designing formats that enable rapid feedback.
- Experience teaching teams new workflows and ensuring adoption sticks. Ability to create guides, examples, and training sessions.
- Independence to build a novel role with no precedent in the company: you will define scope, defend boundaries, and surface risks early.
- Professional English (written and spoken). Additional languages (Spanish, Portuguese, Polish, Italian) are a plus.
