Sales AI Engineer
Figma, Inc. - San Francisco, CA • New York, NY • United States
Posted May 13, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Sales AI Engineer San Francisco, CA • New York, NY • United States 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! Figma is building a Sales AI Transformation function to embed AI across the sales workflow - reducing manual work, improving decision-making, and simplifying how reps and managers operate day-to-day. As the founding Sales AI Engineer, you'll be a hands-on builder who designs and ships AI-enabled workflows that connect systems like Salesforce, Slack, and our data stack. You'll move quickly from prototype to production, measure adoption and impact, and create reusable patterns that help the broader GTM organization build and scale what works. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: - Build and operationalize AI-powered workflows that improve daily execution for sales reps and managers (e.g., account insights, CRM hygiene, coaching workflows, outbound research/personalization) - Integrate across the GTM stack using APIs, automation platforms, and lightweight internal tools; ensure clean data flow and reliable execution - Apply LLMs pragmatically: choose the lightest
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