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).
| Title | Stage | AI score |
|---|---|---|
| Software Engineer, Production Engineering Figma is seeking a Software Engineer for their Production Engineering team to focus on end-to-end reliability, durability, scalability, and performance of their platform. The role involves scaling and driving initiatives that support production engineering efforts, enabling product teams to deliver features rapidly. The ideal candidate will have a strong grasp of Computer Science fundamentals, experience building and running large-scale services, and a passion for improving operational maturity. Responsibilities include defining standard methodologies, addressing operational challenges, debugging production issues, participating in design reviews, planning infrastructure growth, and operating AWS infrastructure. | — | 0 |
| Software Engineer, Distributed Systems Software Engineer on the Infrastructure team at Figma, responsible for designing, building, and operating scalable and reliable distributed systems that power Figma's collaborative design platform. The role involves architecting storage, streaming, and compute orchestration systems, improving developer experience, and ensuring system resilience and performance. While AI is mentioned as a feature of the platform, this role is focused on the underlying infrastructure, not AI model development or deployment. |
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| Software Engineer, Graphics & Media Software Engineer, Graphics & Media at Figma. Focuses on client-side code for Figma's real-time, browser-based design products, specifically the Pixel Engine team's work on rendering and media support (animation, shaders, video, image import/export). Requires 5+ years of experience in C++, TypeScript, GLSL, and web-based applications, with a specialization in Video/Image rendering & playback. | — | 0 |
| Software Engineer, Growth & Monetization Figma is seeking experienced full-stack engineers for their Growth & Monetization Engineering organization. This role involves designing, building, and scaling reliable, secure, and intuitive systems that power collaboration and revenue operations for millions of users, from startups to Fortune 500 companies. Responsibilities include owning key product features, collaborating with cross-functional teams, and operating/monitoring systems with a focus on reliability, security, and performance. Experience with B2B SaaS, billing, enterprise systems, and experimentation is a plus. | — | 0 |
| Software Engineer, C++ Software Engineer role at Figma, focusing on building high-performance client-side systems in C++/WebAssembly and extending multiplayer protocols for a collaborative design platform. The role involves optimizing performance, building APIs, and collaborating with cross-functional teams to enhance user experience and platform capabilities. While the company integrates AI features, this specific role is not directly building AI models or core AI infrastructure. | — | 0 |
| Data Scientist Figma is seeking an experienced Data Scientist to join their data team. The role involves collaborating across various departments (Product, Finance, Marketing, Platform) to define metrics, design experiments, build models, and develop analytical frameworks. The Data Scientist will own end-to-end data projects, champion data quality, and partner with stakeholders to drive impact. This role requires strong analytical and technical skills, business intuition, and a collaborative mindset. | — | 0 |
| Account Executive, Enterprise (London, United Kingdom) Enterprise Account Executive role at Figma, focused on driving sales and revenue with enterprise customers. Responsibilities include pipeline management, value-selling, strategic account planning, and co-creating with cross-functional partners. Requires experience in enterprise software/SaaS sales and managing complex sales cycles. | — | 0 |
| Account Executive, Enterprise Enterprise Account Executive role at Figma, focused on driving sales and revenue with large enterprise customers. Responsibilities include pipeline management, building relationships with decision-makers, understanding business needs, and delivering solutions across Figma's product suite, which includes AI-powered features. The role requires experience in closing complex SaaS sales cycles with enterprise clients. | — | 0 |
| Account Executive, Enterprise (Paris, France) This is a sales role for an Enterprise Account Executive at Figma, focused on driving revenue with enterprise customers. While the company's product suite incorporates AI, this role is not directly involved in building or developing AI/ML models or systems. | — | 0 |
| Account Executive, Mid-Market Account Executive, Mid-Market at Figma. Responsible for driving sales and revenue, building relationships with decision-makers, understanding business needs, and delivering solutions across Figma's product suite. This role involves managing existing customers, aligning with executives on business priorities, creating account plans, and collaborating with cross-functional partners. Requires experience in closing software/SaaS sales, managing complex sales cycles, and a strong sales methodology. | — | 0 |
| Account Executive, Mid-Market (London, United Kingdom) This is a sales role for a company that has AI as a feature of its product suite. The role is not directly involved in building or developing AI. | — | 0 |
| Account Executive, Emerging Enterprise (Berlin, Germany) Account Executive for Figma's emerging enterprise segment in the DACH region. Focuses on building sales pipelines, exceeding targets, and establishing relationships with key stakeholders within enterprise accounts. Requires 3+ years of closing experience, ideally with SaaS products, and fluency in German. Experience selling to technical audiences or with UX/UI principles is a plus. | — | 0 |
| Data Engineer Data Engineer role focused on building and maintaining scalable data pipelines, optimizing them for scale, and partnering with Data Science and Data Infrastructure teams to create foundational data sets. The role also involves working with cross-functional stakeholders to derive requirements and architect shared datasets, establishing best practices for specialized data sets for analytics and modeling. | — | 0 |