Figma currently has 19 active job listings related to artificial intelligence. The majority of these roles, 58%, are focused on agents, with application roles making up another 21%. The dominant function for these positions is Engineering, with a significant concentration of hiring in the United States and Canada. Frequently mentioned technical areas include agent orchestration, model serving, and inference infrastructure. In the last 30 days, Figma has posted 1 new AI role, representing an 80% decrease compared to the previous 30-day period.
Currently tracking 10 active AI roles, up 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $153k–$376k (avg $279k).
Figma currently has 22 active AI-related roles in our index. The most common open titles are: AI Applied Scientist, Data Platform Engineer, Data Scientist, Core Data - PhD (2026), Designer Advocate - Figma Weave (New York, United States), Manager, Software Engineering - AI Product . Most positions are in Engineering and Product.
Figma's active AI hiring is concentrated in: agents (64%), application (18%), serving infrastructure (9%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Figma is hiring AI talent in: United States (21 roles), Canada (16 roles), United Kingdom (1 role).
Job postings at Figma most frequently reference: agent orchestration, model serving, llm observability, evals, rag.
In the past 30 days, Figma has posted 5 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Product Manager, AI Platform Product Manager for Figma's AI Platform, focusing on the 'Make' space which powers code generation, editing, previewing, and deployment. The role involves defining platform strategy, driving AI-first product development, and enabling collaboration between developers, non-technical builders, and AI agents. Key responsibilities include strategy for agent infrastructure, eval systems, code generation, execution environments, and deployment systems, balancing feature velocity with platform health. | AgentServe | 7 |