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.
Enterprise · Workspace
Currently tracking 13 active AI roles, up 77% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $130k–$350k (avg $236k).
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 |
|---|---|---|
| Engineering Manager, Mobile AI Engineering Manager for Mobile AI at Notion, focusing on shipping AI features on mobile devices. The role involves defining roadmaps, taking ideas from exploration to production, improving AI quality, and building technical foundations for cross-platform iteration. | Ship | 7 |
| Software Engineer, Early Career Software Engineer, Early Career at Notion, focusing on building and shipping product features, including AI and automation features, to enhance user experience and efficiency in the Notion workspace. The role involves planning, building, shipping, and iterating on features, improving performance and reliability, running experiments, and building internal tools. While not requiring deep AI expertise, intellectual curiosity and excitement for using AI as a collaborator are expected. | Ship |
| 5 |