Key skills

Generative AI Product DevelopmentMachine LearningAI Systems Development LifecycleExperimental DesignData AnalysisAI-Assisted Development ToolsAI Indexing and Retrieval SystemsNatural Language ProcessingStrategic planningAIArtificial IntelligenceGenerative AIClaudeGitHubMentoringFigmaPrototypingCollaboration

About this role

Figma is a design and collaboration platform that helps teams bring ideas to life and work together in real time. The Software Engineer - AI Product will lead the development of early-phase generative AI systems, establish strategies to improve AI performance, collaborate with cross-functional teams, mentor engineers, and help grow the AI team.

Responsibilities:

Lead the development of early-phase AI systems to enhance user experience and develop systems to measure and improve AI performance and relevance
Direct the future of AI at Figma in collaboration with cross-functional teams of innovative software engineers, product managers, and data scientists
Break down open-ended AI problems into engineering strategies utilizing machine learning, data analysis, and experimental design
Provide mentorship and promote best practices in data and AI while cultivating a collaborative and inclusive team culture
Contribute to the growth of the team by improving the hiring process and recruiting outstanding AI talent

Requirements:

5+ years of experience of Software Engineering, with 1 or more years of developing generative AI products
Comfort in prototyping and pathfinding new opportunities that led to successful 0→1 projects
Proven experience implementing the full lifecycle of an early-phase AI development, from ideating on which models to use through productionizing and maintaining them
Experience in developing deep product and business knowledge to connect abstract modeling and analysis tasks with business value
Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code
Demonstrated expertise in AI indexing, retrieval systems, personalization, and/or natural language processing
Proven track record of planning a multi-year roadmap in which shorter-term projects ladder up to the long-term vision
A relevant advanced degree (Masters or PhD) in Machine Learning, Artificial Intelligence, Statistics, or a related field
A growth mindset and experience investing in the learning, development, belonging, and impact of your peers, ex. mentoring/aligning senior engineers across organizations