Knowledge Systems Architect
Designs and governs enterprise knowledge systems and infrastructure using Confluence and Glean. Establishes documentation standards, lifecycle policies, and AI workflow guardrails to make organizational knowledge legible and self-sustaining.
Ongoing Responsibilities
- Own Confluence and Glean as the primary business administrator for both platforms; maintain governance models and usage standards
- Maintain documentation standards, style guidance, and structural templates (as system assets, not as a writer)
- Define and manage lifecycle rules: what gets refreshed, archived, and retired — and when
- Run content health audits on a defined cadence and surface insights to leadership and team owners
- Serve as the internal expert on when and how AI can be safely used in documentation workflows — and maintain those guardrails as AI tooling evolves
- Manage knowledge infrastructure transitions (new team spaces, ownership migrations, tool changes)
Must have
- Deep experience in knowledge management, information architecture, or technical writing with a strong systems orientation — think in infrastructure, not documents
- Demonstrated ability to design and implement governance frameworks, not just follow them
- Hands-on experience with Confluence and/or Glean (or equivalent enterprise knowledge and search platforms)
- Comfort working across data, analytics, and tooling to instrument and measure knowledge health
- "First-hire" mindset — thrive as a strategist, operator, and change agent
- Strong written communication
- Experience with AI-assisted documentation workflows or LLM-based content tooling
Strong plus
- Background working in a technical environment (R&D, Engineering, or Product-adjacent)
- Familiarity with analytics tools (Hex, Looker, or similar) for building dashboards
- Experience in an enablement or internal developer-relations type role
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