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 dont 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 systems quality, usability, and durability.

Skills Youll 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 roles scope and complexity, and the candidates 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.

#LI-Onsite

A Note on AI

You dont need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement - when thats the case, well say so explicitly in the qualifications. People who thrive here dont treat AI as a novelty. They use it to think better, and make their work easier for others to build on.