Architect, Systems Engineer

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Responsibilities and qualifications center on knowledge management, information architecture, and content modeling to organize and structure knowledge across systems for contributors now and scale for AI initiatives.

• Design and maintain lightweight classification models and metadata patterns that work for contributors now and scale for AI later
• Create, restructure, and organize content across tools (e.g., Coda work instructions, Confluence pages, Google Drive folders) to make it clear, consistent, and usable
• Establish tagging, naming, and structural standards, and apply them so knowledge stays organized across systems (Zendesk Guide, Contentful, Airtable, Confluence, Coda, Google Workspace)
• Audit existing knowledge bases to remove duplication, close gaps, and improve trust in what’s available
• Define and implement practical rules for scope, ownership, and versioning (e.g., global vs. regional content, team vs. function ownership)
• Document standards and create contributor-friendly guidance to make adoption straightforward and sustainable
• Build simple, repeatable frameworks that solve today’s needs while laying the foundation for future retrieval, personalization, and automation

• Proven experience in knowledge management, information architecture, or content modeling, with hands-on examples of structuring knowledge in practice
• Ability to move fluidly between system-level design (schemas, taxonomies, ownership models) and asset-level structuring (rewriting work instructions, reorganizing folders)
• Familiarity with and ability to work in the tools central to our ecosystem:
  Zendesk Guide, Contentful, Coda, Confluence, Airtable, Google Workspace
• Strong analytical and organizational skills; able to distill ambiguity into clear models and rules
• Comfortable working in ambiguous, evolving environments and iterating as the program matures

• Associate

• Contract

• Design, Consulting, and Information Technology

• Entertainment Providers

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