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Education team members have a deep desire to fully understand complex concepts, then be able to break them down to present them in a well-structured yet simplified and engaging manner.

The ideal candidate will be a strategic thinker who is a team player and an educator at heart, passionate about technology, with a deep understanding of technical documentation standards, information architecture, and the specific requirements for AI-ready content, training and education methodologies.

Responsibilities:

Knowledge Base Revamp & AI Optimization:
Conduct a comprehensive audit of the existing Help Center content for accuracy, clarity, completeness, and consistency as we migrate to a new tool.

collaborate and maintain a new information architecture and content structure optimized specifically for ingestion and utilization by AI support tools (e.g., clear, concise articles, defined topic boundaries, robust tagging/metadata).

Collaborate with the AI/Engineering teams to understand the technical requirements for content delivery to the AI platform and establish content governance rules.

Content Creation and Management:
Write, edit, and publish high-quality, user-friendly technical documentation, including tutorials, how-to guides, troubleshooting steps, and feature overviews for our SaaS product.

Understand target audiences to be able to accommodate the different roles and personas.

Ensure all content adheres to our brand voice, style guide, and technical accuracy.

Manage the documentation lifecycle within the chosen Knowledge Base platform (Confluence, Intercom).

Cross-functional Collaboration:
Work closely with Product Managers and Engineers to document new features and updates before launch, for both internal and external users.

Partner with the Customer Support team to identify key pain points and knowledge gaps that can be addressed by improved documentation and AI routing.

Provide feedback to the product team on UI/UX improvements based on content structure and user confusion.

Metrics and Improvement:
Establish and track key performance indicators (KPIs) related to documentation effectiveness, such as content usage, search success rates, case deflection rates attributable to the AI, and content quality scores.