Staff Design Engineer, Go

Superhuman Superhuman · Consumer · Hub - San Francisco · Engineering, Product, Design, and Marketing

Staff Design Engineer on the Superhuman Go team, focusing on building AI agents that provide proactive assistance. The role involves end-to-end delivery of features from prototype to production, with a strong emphasis on user interface craft, interaction design, and leveraging AI coding tools. The goal is to create responsive, intuitive, and trustworthy AI-powered experiences across various platforms.

What you'd actually do

  1. Take ideas from prototype to shipped feature. Own the front-end work that makes Go feel responsive, intuitive, and trustworthy across desktop, web, and embedded surfaces.
  2. Build interactive prototypes in code to pressure-test interaction models, agent behaviors, streaming responses, and motion. Use these prototypes to settle design questions that mocks cannot answer.
  3. Extend and own the components, primitives, and patterns that the Go design and engineering team use every day. Turn one-off polish into reusable building blocks.
  4. Find the moments where a small amount of motion changes how the product feels, then dial those moments in. Make agent behavior legible through interaction.
  5. Use Cursor, Claude Code, and similar tools as core parts of your daily practice. Bring patterns and workflows back to the team so other designers can build with code too.

Skills

Required

  • React
  • TypeScript
  • modern web codebase
  • layout
  • typography
  • motion
  • micro-interactions
  • prototyping in code
  • AI coding tools
  • AI-native product surfaces
  • chat
  • streaming UI
  • agent behaviors
  • natural language input

Nice to have

  • design system
  • front-end infrastructure
  • Cursor
  • Claude Code

What the JD emphasized

  • production work is the proof
  • Hands-on use of AI coding tools like Cursor or Claude Code in your day-to-day
  • Experience designing or building AI-native product surfaces like chat, streaming UI, agent behaviors, and natural language input

Other signals

  • AI-native productivity suite
  • agents that take action on tasks alongside the user
  • layer that turns intent into outcomes
  • proactive assistance wherever someone already works
  • streaming responses
  • agent behavior