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Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Search & Recommendations team builds the search platforms and infrastructure used across Figma. Our team is responsible for providing Figma AI agents with the most relevant context from across the Figma ecosystem—from design system assets to code—in order to complete tasks with high quality and low latency. And, our team maintains features critical to every designer’s workflow, including visual, asset, and file search. We’re an inter-disciplinary team that works across the stack, from training reranking models to managing our feature store platform to keeping our search infrastructure reliable as we scale. We’re looking for a seasoned engineering leader to support & grow our team, define & execute on our technical strategy, and collaborate with teams across engineering to build cutting-edge AI features. This is a full time role that can be held from one of our US hubs or remotely in the United States.
Job Responsibility
Support a team of engineers with skillsets ranging from infrastructure to model development, including hiring and career development
Partner with our product engineering, infrastructure, data science, and product management teams to deliver cutting-edge Figma AI features
Own the team’s technical strategy, roadmap, and goals
Roll up your sleeves as needed to get involved with the technical details and improve execution efficiency
Grow your career within an engaged and creative engineering community
Build an inclusive, diverse team and culture through hiring, community events, and programs in partnership with teams across Figma
Requirements
4+ years of engineering management experience leading high-performing, fast-moving teams, ideally in the AI space
8+ years of total engineering experience, ideally reaching a staff engineering level as an individual contributor
Prior experience building search, recommendation, or AI systems as an engineering manager or individual contributor
A proven track record of motivating, mentoring, and guiding experienced AI engineering leads
Nice to have
Expertise in building and maintaining systems built on top of OpenSearch or ElasticSearch
Experience working with LLMs at production scale
What we offer
Equity to employees
Health, dental & vision
Retirement with company contribution
Parental leave & reproductive or family planning support