Knowledge Architect – Product Enablement Expert

Docplanner

. Define and maintain Docplanner's product knowledge content model, including facts, organization, labels, metadata, and internal versus external knowledge .

Posted 9/15/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in knowledge management and technical writing, with a strong focus on creating and maintaining structured content models. Proficient in using Git, Markdown, YAML, and JSON to ensure high-quality documentation and effective team training.

Highest-signal resume keywords

Knowledge ManagementTechnical WritingGit and GitHub ProficiencyContent Structure DesignTeam Training and Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Technical WritingDocumentation EngineeringKnowledge ManagementContent Structure DesignMarkdownYAMLJSONVersion ControlAI Assistant TestingCode Review

Soft Skills

Team LeadershipEffective CommunicationIndependenceProblem SolvingCollaboration

Tools & Technologies

GitGitHubAI AssistantsDocumentation Repositories

Industry Keywords

Knowledge BaseContent ManagementDocumentation StandardsProduct ManagementDeveloper Experience

About the role

Key responsibilities & impact

Define and maintain Docplanner's product knowledge content model, including facts, organization, labels, metadata, and internal versus external knowledge
Set quality standards requiring every fact to reference its source in repositories, files, or code
Create one knowledge structure for Kraken customer assistants and Noa doctor assistants
Work in GitHub and repositories to locate feature logic, understand rules and special cases, and turn code into reviewable output
Improve knowledge generation so fewer facts require manual confirmation
Ensure new or changed features are generated from code from day one
Review the existing internal knowledge base article by article and decide whether to migrate, rewrite, replace with generated output, or archive content
Prioritize knowledge-base work based on usage and change frequency and agree priorities with the team manager
Lead the team through the knowledge-base transformation, including method definition, explanation, review, and quality consistency across markets and people
Teach the team to check facts instead of primarily writing articles
Create and maintain working guides, examples, and short training sessions
Build team skills in writing self-contained facts, reviewing generated content, identifying knowledge gaps, working with repository-based content, and testing AI assistant answers
Identify knowledge absent from code, including market and plan differences, on-screen wording, patient-facing content, and screenshots
Design repeatable information-gathering processes with Product Managers, Product Marketing, and Product Experts
Run review loops with feature owners and track corrections and reasons
Define processes for keeping knowledge current across frequent releases, including update triggers, alerts, ownership, and response times
Alert the Help Center team when releases make published content inaccurate
Coordinate with Product Experts, the Help Center team, Kraken and Noa owners, and Engineering
Test assistant answer quality against a fixed list of questions
Support repository access, monorepo migration planning, and required code changes for knowledge extraction

Requirements

What you’ll need

4 to 7 years of experience in technical writing, documentation engineering, knowledge management, developer experience, solutions engineering, or comparable work, with real ownership
Comfortable with Git and GitHub, including branches, pull requests, reading changes, and navigating large codebases
Able to read code well enough to understand rules and special cases; software engineering experience is not required
Experience designing content structures using self-contained content pieces, labels, metadata, and standards
Daily use of Markdown, YAML, or JSON
Experience with documentation that lives in a repository and is versioned, reviewed, and built like code
Understanding of how AI assistants retrieve and use content and how to test their answers
Ability to get busy experts to review facts quickly and design effective review formats
Experience teaching a team a new way of working and making it stick
Independence to build and define a role with no precedent in the company
Professional English, written and spoken; additional languages are a plus
Must already have the legal right to work in the country of residence or location of the role; visa sponsorship is unavailable
English fluency is mandatory for the position's critical global exposure

Benefits

Comp & perks

Healthcare insurance
Wellness benefits, including gym memberships and mental health support
Time off for vacation, birthdays, and personal recharge
Local benefits depending on location, such as meal vouchers, transport allowances, or extended parental leave
Career growth and learning opportunities
Cross-functional project opportunities
Remote work and flexible hours
Access to office hubs in Barcelona, Warsaw, Curitiba, Rio de Janeiro, Mexico City, Bogotá, Munich, Rome, or Bologna
Global, diverse, and inclusive team environment