Design Engineer

Ramp Ramp · Fintech · New York, NY · Design

This role is for a Design Engineer who will work at the intersection of design and front-end engineering, using AI tools like Cursor and Claude Code as collaborators in the product development process. The engineer will be responsible for designing and building high-craft product experiences, prototyping in code, validating with customers, and championing performance and accessibility, with a strong emphasis on AI-native workflows.

What you'd actually do

  1. Design and build high-craft product experiences: Own key surfaces end to end, from concept through production. Use layout, interaction, and motion to make complex behavior feel simple and safe.
  2. Work AI first with Cursor and Claude Code: Use LLMs, Cursor, and Claude Code as your starting point. Draft intent, explore implementations, scaffold components, and refactor with AI in the loop. Apply your own judgment to refine quality.
  3. Prototype in code and validate with customers: Build interactive prototypes in React and TypeScript and test them with real users using self-serve research tools. Use what you learn to refine flows before full systemization.
  4. Bridge design systems, product, and brand: Translate Ramp’s design principles into reusable components and patterns. Extend the design system so expressive, brand-aligned moments are easy to build and scale.
  5. Reveal what our agents are doing without noise: Design patterns that show what AI and automation are doing on behalf of customers. Use hierarchy, copy, and motion to earn trust while keeping the default experience simple.

Skills

Required

  • Strong experience across both design and front-end engineering, with ownership from idea to shipped interface
  • Fluency in React, TypeScript or JavaScript, semantic HTML, and modern CSS
  • Active use of tools like Cursor and Claude Code, with clear opinions on how to get high-quality output
  • A portfolio that shows high visual and interaction craft in live experiences or working prototypes
  • A systems mindset and interest in building reusable components and patterns
  • Care for performance, accessibility, and reliability as part of craft
  • Clear written and verbal communication, and comfort pairing with designers, engineers, and marketers

Nice to have

  • Experience contributing to a design system or front-end component library
  • Familiarity with experimentation or analytics tools
  • Experience with headless CMS, design tokens, or theming systems
  • Background in fintech, B2B SaaS, or other trust-heavy domains
  • Interest in mentoring others on AI-native workflows

What the JD emphasized

  • AI first
  • AI as a real collaborator
  • AI first and builder led
  • AI and self-serve research are default parts of the workflow
  • Reveal what our agents are doing without noise

Other signals

  • AI first product development
  • AI as a collaborator
  • LLM usage in design and engineering workflows