AI Conversation Designer, Customer Support

ABOUT US:

Notion helps you build beautiful tools for your life’s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.

In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.


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 conversa