Figma
Enterprise · Design tool
- HQ
- San Francisco, US
- Founded
- 2012
- Website
- figma.com
Currently tracking 10 active AI roles, with 31 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $153k–$376k (avg $279k).
Enterprise · Design tool
| Title | Stage | AI score |
|---|---|---|
| Data Platform Engineer Figma is seeking a Data Platform Engineer to build foundational systems for AI-driven products and data experiences. The role involves working at the intersection of data, infrastructure, and machine learning to create scalable systems that empower Data Science, unlock AI capabilities, and integrate data and models into the product experience. The engineer will lead work on Figma's AI data agent, own and evolve the ML and data platform (including model serving, feature pipelines, orchestration, CI/CD, and monitoring), build product-facing data systems, ship platform tooling for ML practitioners, and design infrastructure for AI-assisted interfaces. | AgentServe | 7 |
| Manager, Software Engineering - Search & Recommendations Manager, Software Engineering for Search & Recommendations at Figma. This role involves leading a team that builds search platforms and infrastructure, providing relevant context for Figma AI agents, and maintaining search features. The manager will define technical strategy, partner with various teams, and contribute to technical details. Experience in AI systems, search, or recommendations is required, along with engineering management experience. |
| AgentServe |
| 7 |
| Software Engineer, Code Platform Software Engineer on Figma's Code Platform team, focusing on building AI-forward systems that translate between design models and LLM-friendly representations. The role involves designing and implementing AI-powered and agentic workflows for code generation and design interpretation, including building evaluation frameworks for AI outputs and optimizing performance. | Agent | 7 |
| Software Engineer, Machine Learning Figma is seeking an experienced Machine Learning / AI Engineer to join their AI team, focusing on applied ML, infrastructure, and product innovation. The role involves designing, building, and productionizing ML models for Search, Discovery, Ranking, RAG, and generative AI features, as well as building scalable data pipelines and collaborating with researchers and product engineers to deliver AI-driven features and infrastructure. The position requires strong experience in end-to-end ML model development, Python, and ML libraries, with a focus on scalable data and annotation pipelines and evaluation systems. | AgentServe | 7 |