Notion
Enterprise · Workspace
- Founded
- 2016
- Website
- notion.com
Currently tracking 13 active AI roles, up 77% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $130k–$350k (avg $236k).
Enterprise · Workspace
Notion currently has 17 active AI-related job listings, with a strong focus on roles within the agents stage, which accounts for 71% of their openings. The majority of these positions are within Engineering. Over the last 30 days, Notion has posted 4 new AI roles, representing a 33% decrease compared to the previous 30-day period.
Notion currently has 18 active AI-related roles in our index. The most common open titles are: AI Applications Engineer, Engineering Manager, Mobile AI, Engineering Manager, Search & Context Platform, Forward Deployed Architect, Japan, Forward Deployed Engineer. Most positions are in Engineering and Product.
Notion's active AI hiring is concentrated in: agents (72%), application (11%), evaluation (11%). 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 (13 roles), Japan (2 roles), Ireland (1 role), India (1 role).
Job postings at Notion most frequently mention: Agent Orchestration, Product Management, System Design, Testing Practices, Search Engines.
In the past 30 days, Notion has posted 3 new AI-related roles. That is a -57% change versus the prior 30 days (7 → 3).
| Title | Stage | AI score |
|---|---|---|
| QA Manager Lead Notion's central QA team and roadmap, focusing on improving product quality outcomes through AI-driven test generation, automation, and CI/CD quality gates. The role requires a strong QA and software engineering background with experience in AI-assisted automation and observability. | Agent | 7 |
| Software Engineer, Developer Experience Software Engineer, Developer Experience at Notion, focusing on architecting, implementing, and scaling tools and frameworks for Notion developers. The role involves improving developer productivity, tooling performance, and CI/CD systems, with a requirement for 8+ years of experience and a strong interest in developer workflows and user experience. While not requiring AI expertise, curiosity and willingness to adopt AI tools are expected. | — | 0 |