AI Conversation Designer, Customer Support

WHO WE ARE

Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work feels 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, humanity, and building things that last — not just shipping the next feature, but setting a standard for how modern teams (with humans and agents working together) think and execute.

ABOUT THE ROLE

The mission of the AI Conversation Designer, Customer Support is to create an effortless, best-in-class AI customer support journey. This includes designing flows for an AI support chatbot and email using best-practice SOP writing for our automated support platform. You will be part of the User Ops team under the Customer Experience org and partner closely to execute the AI Support roadmap through high-quality conversation design, QA, and continuous iteration.

In this role, you will take ownership of day-to-day execution across Notion’s chatbot and automated email experience. You will be responsible for architecting and maintaining intent + knowledge systems (taxonomy, routing, retrieval, and QA), and continuously improving the experience through data, testing, and QA. This role is equal parts conversation design and system configuration. You’ll work in a modern LLM-based support stack where quality depends on routing logic, retrieval configuration, evaluation/monitoring, and disciplined release/QA practices in addition to writing.

WHAT YOU'LL ACHIEVE

- Own the day-to-day execution and quality of chatbot intents and knowledge (build, QA, iterate).

- Own intent architecture end-to-end: taxonomy design, hierarchical intents, coverage mapping, and gap analysis.

- Operate a rolling QA program (intent performance review, regression checks, gap analysis) and drive refinements.

- Keep chatbot information and knowledge up to date to ensure accurate, consistent customer support.

- Support launches by implementing and quality testing new intents and knowledge within the chatbot.

- Partner with technical teams to configure and validate tooling & integrations (as applicable): ticketing/CRM handoff, account context, and structured data lookups.

- Drive release rigor for AI support experiences, including production releases: versioning, staged rollouts, regression testing, and change logs.

- Use analytics, A/B testing, and generative AI recommendations to identify gaps in Notion’s automated support experience; translate findings into measurable improvements.

- Contribute to conversation design guidelines and best practices in partnership with the AI Chatbot Lead and Subject Matter Experts (SMEs).

- Design conversation logic and dialog that fits Notion’s brand guidel