Knowledge Architect and Product Enablement Expert

At Docplanner Group, the world's largest healthcare platform, we connect 24 million patients with 280k doctors across 13 countries through various brands. The company provides marketplaces, SaaS, and AI tools to help doctors, clinics, and hospitals work more efficiently and focus on patient care.

• 4 to 7 years experience in technical writing, documentation engineering, knowledge management, developer experience, solutions engineering, or equivalent with real ownership.
• Proficient with Git and GitHub: branches, pull requests, reading code and changes, understanding rules and special cases.
• Experienced in designing content structures with labels, metadata, and standards using Markdown, YAML, or JSON.
• Experience with repository-based documentation that is versioned, reviewed, and built like code.
• Working understanding of AI assistants’ content usage, retrieval, answer testing, and limitations.
• Proven ability to engage busy experts to review facts promptly and designing effective review formats.
• Experience teaching teams new workflows with guides, examples, and training.
• Ability to independently define and build a new role with limits and risk management.
• Professional proficiency in English, written and spoken; additional languages (Spanish, Portuguese, Polish, Italian) are a plus.

The structure of our product knowledge:

• Define and maintain the content model for Docplanner product knowledge including topics organization, labels, metadata, and distinction between internal and external knowledge bases.
• Set the quality standard ensuring every fact has a verifiable reference.
• Choose one unified structure for both Kraken and Noa assistants.

Getting knowledge out of the code:

• Work directly in GitHub with read access to repositories to find feature logic, understand rules and special cases, and convert them into clear output.
• Improve output generation to reduce the need for manual confirmation.
• Ensure every new or changed feature is generated from code from day one.

Our current internal knowledge base:

• Review existing articles and decide their fate (move, rewrite, replace, archive).
• Propose prioritization of work based on usage and changes, agreeing with team manager.
• Lead the team through the work, deciding method, reviewing results, and maintaining quality.

Teaching the team to work in the new way:

• Transition the team from writing articles to checking facts.
• Create working guides, examples, and training sessions, updating them as needed.
• Build team skills in writing small facts, reviewing content, spotting knowledge gaps, working with repo-based content, and testing AI assistant answers.
• Serve as the team’s point of contact for questions and document answers.

The facts that are not in the code:

• Identify knowledge types missing from code (market differences, screen wording, patient view) and design repeatable collection methods with Product teams.
• Run review loops with feature owners in an accessible format, tracking and analyzing errors.

Keeping knowledge up to date:

• Define update triggers, alerts, and commitment deadlines for knowledge currency with frequent releases.
• Notify Help Center team about changes that make published content outdated with precise information.

Working with the rest of the chain:

• Facilitate Product Experts in feeding, testing, and improving the knowledge base.
• Coordinate with Help Center team on publishing and alerts.
• Agree with Kraken and Noa owners on knowledge outputs and test assistant quality.
• Collaborate with Engineering for repository access, migration plans, and necessary code changes.

At this time, Docplanner is not able to sponsor visas for this position. Applicants must have the legal right to work in their country of residence or the role's location.