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CircleBack

Founding Design Engineer

San Francisco$170k–$280kfulltimemidAdded today

About this role

Circleback seeks a design engineer to own the product surface across web, desktop, and mobile platforms. You'll establish the design system, craft pixel-perfect interfaces for an AI meeting notes platform, and invent new patterns for organizing conversational intelligence at scale.

What you'll do

  • Design and implement features end-to-end across React/Next.js web, Electron/Swift desktop, and React Native mobile
  • Build and maintain a design system with components, patterns, and tokens across multiple platforms
  • Solve complex UX problems around presenting dense conversational data intuitively
  • Craft animations, interactions, and micro-interactions that enhance product feel
  • Iterate on onboarding, activation, and user education experiments
  • Collaborate directly with engineering and founders on product direction and strategy

What they're looking for

  • React and Next.js frontend development
  • Electron or Swift for desktop applications
  • React Native for mobile
  • Figma or equivalent design tools
  • Design system creation and maintenance
  • UI/UX design and interaction design
  • CSS and web animation
  • Product thinking and user research

Benefits

  • Competitive salary and equity
  • Free lunch and dinners
  • Flexible health coverage
  • 401K matching
  • Early-stage startup with high ownership
  • Work directly with founders on product strategy
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CircleBack

CircleBack builds AI-powered meeting intelligence and conversation management tools that transform how teams capture and use meeting insights. The company is hiring software engineers, design engineers, and interns to develop full-stack features across web, desktop, and mobile platforms, focusing on transcription, search, and AI automation capabilities.

View all jobs at CircleBack

Likely interview questions

  • Walk us through a feature you've designed and built end-to-end—what was your process from concept to production?
  • How do you approach designing interfaces for dense, complex information like conversational data?