CX Knowledge Architect

Who We Are

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.

Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.

About the Role:

Own CX enablement knowledge strategy + systems globally.

Notion ships quickly, and our customer experience depends on support teams being able to find accurate answers fast. This role exists to keep our internal knowledge base fresh as it scales—by designing durable information architecture and governance that keeps pace with frequent product change.

What’s different at Notion: you’ll use Notion as customer zero, building a living system of record structured for both humans and AI—so the right people (and the right agents) can retrieve the right information at the right time. You’ll own the internal knowledge base end-to-end (content + page structure), partnering with CX Enablement, Product Ops, QA, and Vendor Ops to keep it reliable and effective.

What You'll Achieve:

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.

Skills You'll Need to Bring:

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.

Notion is committed to providing 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.

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