Notion currently has 17 active job listings related to artificial intelligence. The majority of these roles, 65%, are focused on agents, with application roles making up 24% and evaluation roles accounting for 12%. The primary function for these positions is Engineering, with one role in Product. The company is hiring for these roles predominantly in the United States. Frequent tech tags include agent_orchestration, evals, and guardrails, suggesting a focus on building and managing AI agent capabilities.
Notion currently has 17 active AI-related roles in our index. The most common open titles are: AI Applications Engineer, AI Conversation Designer, Customer Support, Application Security Engineer, AI Security, Engineering Manager, Context (Agentic Search), Engineering Manager, Mobile AI. Most positions are in Engineering and Product.
Notion's active AI hiring is concentrated in: agents (71%), application (24%), evaluation (6%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Notion is hiring AI talent in: United States (14 roles), South Korea (1 role), Germany (1 role), France (1 role).
Job postings at Notion most frequently reference: agent orchestration, evals, guardrails, model serving, tool use.
In the past 30 days, Notion has posted 2 new AI-related roles.
Currently tracking 9 active AI roles, down 30% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $152k–$350k (avg $259k).
| Title | Stage | AI score |
|---|---|---|
| Customer Success Manager, Singapore This role focuses on customer success for Notion, driving adoption, retention, and expansion, with a particular emphasis on helping customers leverage AI-powered workflows. The Customer Success Manager will guide clients through building and implementing these workflows, ensuring they achieve their business goals and demonstrate value. The role also involves contributing to the foundational aspects of Customer Success at Notion and providing product feedback based on customer insights. | — | 5 |