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Notion are hiring a

AI Conversation Designer, Customer Support

About Us

Notion helps you build beautiful tools for your lifes work. In todays 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 Notions 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 Notions 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. Youll 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 Youll 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 Notions 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 Notions brand guidelines and can scale across multiple domains, channels, and languages.
  • Partner with User Ops and CX leaders to drive visibility and measure success.

Skills Youll Need to Bring

  • 3+ years of conversation design experience with in-depth knowledge of conversation design, UX copy, or linguistic content verification.
  • Demonstrated experience designing and improving chatbot experiences; using data to show the impact/ROI of those designs.
  • Strong operational rigor: you can run QA programs, maintain knowledge freshness, and manage a backlog of improvements.
  • Strong cross-functional execution skills: you can partner with SMEs and product/CX teams to ship against launch timelines.
  • You have a metrics mindset: you believe success is a measured outcome, and will dive deep into data to inform design and prioritization decisions.
  • You have a proven ability to deal with ambiguity in a rapidly changing business environment.
  • You have experience with Decagon, Ada, Sierra, or using generative AI for support automation with another chatbot.
  • You dont need to be an AI expert, but youre curious and willing to adopt AI tools to work smarter and deliver better results.

Nice to Haves

  • Experience at a high-growth SaaS company
  • Experience using Notion
  • Some familiarity with Python or SQL

We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If youre excited about a role but your past experience doesnt align perfectly with every bullet point listed in the job description, we still encourage you to apply. If youre a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.

Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

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 San Francisco or New York City, the estimated base salary range for this role is $136,000 - $155,000 per year.