Software Engineer AI Product @ Figma
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About the Role
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. As a Software Engineer AI Product at Figma, you will lead the development of early-phase AI systems, collaborate with cross-functional teams, and work on cutting edge generative AI products that shape the future of design and collaboration.
What You Will Do
- Lead development of AI systems to enhance user experience.
- Collaborate with product managers, engineers, and data scientists.
- Break down open-ended AI problems into clear engineering strategies.
- Mentor teams and promote best practices in AI and data.
- Improve hiring process for recruiting outstanding AI talent.
Who We Are Looking For
You have 5+ years of software engineering experience and at least 1 year developing generative AI products. You are comfortable with prototyping, pathfinding for new opportunities, and executing an AI system from ideation to production. Experience in deep product and business understanding is essential.
Preferred Qualifications
- Expertise in AI indexing, retrieval systems, personalization, or natural language processing.
- Experience planning multi-year roadmaps aligned with long-term vision.
- A relevant advanced degree in Machine Learning, AI, Statistics, or a related field.
- A proven track record in mentoring and developing senior engineering talent.
Compensation & Benefits
This full-time role offers competitive base salary and equity along with additional benefits including health, dental, vision, retirement contributions, generous PTO, remote work stipend, and more.
Key Skills/Competency
- Software Engineering
- Generative AI
- Prototyping
- Machine Learning
- Data Analysis
- Experimental Design
- Mentorship
- Team Collaboration
- Roadmapping
- Product Development
How to Get Hired at Figma
🎯 Tips for Getting Hired
- Research Figma's culture: Review their design and innovation mission.
- Customize your resume: Highlight generative AI experience.
- Showcase technical projects: Include AI system development.
- Prepare for interviews: Focus on cross-functional collaboration.