CX Knowledge Architect

Join Notion as a CX Knowledge Architect to enhance customer experience through effective knowledge management and information architecture. Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.

• •Own end-to-end CX knowledge as a system: Make it dramatically faster for CX teams to retrieve trustworthy, up-to-date knowledge, improving support quality and efficiency as Notion grows.
• •Design and evolve information architecture (IA): Define how knowledge is structured, governed, maintained, and measured across the full lifecycle (intake → draft → review → publish → maintenance → archive).
• •Set quality standards + governance: define templates, authoring guidelines, and review/approval paths (especially for high-risk policy areas like billing, legal, security, pricing).
• •Maintain accuracy + freshness at scale: expand knowledge creation + maintenance programs so launch content and updates don’t bottleneck on a single team.
• •Build modular, reusable knowledge: drive standard sections and reusable modules (definitions, constraints, escalation paths, policy snippets) using synced blocks and consistent structure to enable reuse across KB + macros.
• •Supervise content agents + KB automation: Optimize the KB for AI retrieval, and use AI to improve quality and coverage (AI-assisted content QA, gap detection, and draft suggestions with human review), with clear standards for what gets published.
• •Partner cross-functionally for support readiness: triage and coordinate requests from CX, Product, Eng, and Legal/Finance; translate decisions into support-ready guidance (decision trees, escalation paths, KB updates, internal comms).
• •Measurably improve freshness, launch coverage, and workflow efficiency—while raising the bar on the system’s quality, usability, and durability.

• •Highly competitive cash compensation, equity, and benefits.
• •The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below.
• •For roles based in New York City, the estimated base salary range for this role is $136,000- $160,000 per year.

• •Program + system ownership: experience owning an end-to-end knowledge system (not just shipping individual docs) in knowledge management, CX enablement, technical writing, content ops, or adjacent roles.
• •Information architecture + governance depth: ability to design scalable IA (taxonomy/tagging/page structures) and run governance/review models that protect quality and reduce risk.
• •Systems thinking + operational excellence: can build durable processes that scale across many contributors and withstand high change velocity; experience building modular, reusable content components.
• •Quality and maintenance rigor: demonstrated ability to run content QA, audit cadences, and freshness programs.
• •Data-informed prioritization + AI literacy: uses qualitative + quantitative signals to focus on the highest-impact work, and understands how structure affects AI/human retrieval.