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.
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 |
|---|---|---|
| Forward Deployed Architect, Japan This role partners directly with customers to design, build, and launch AI-native workflows using Notion AI, custom agents, and automations to drive adoption and measurable business outcomes. It involves consultative discovery, solution design, workspace architecture, and implementation, with a focus on translating business goals into scalable Notion architectures. | Agent | 7 |
| Forward Deployed Engineer, GTM - Japan Forward Deployed Engineer to lead technical customer engagements in Japan, designing and shipping migrations, integrations, and production-grade AI workflows using Notion Workers, Custom Agents, and MCP. This role involves hands-on building within customer environments, translating requirements into solutions, and feeding learnings back into product development. | Agent |
| 7 |