R

Design Engineer

Ramp
3 months ago
Full-time
Remote
Worldwide
Remote Engineering
ABOUT RAMP

Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $100B in annualized spend flows in and out of 50,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.

The problems are high-stakes, data-dense, and unforgiving.

We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.

The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.

If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.


ABOUT THE ROLE

As a Design Engineer at Ramp, you sit at the intersection of design and front-end engineering. You bring ambitious ideas to life in real interfaces, prototype directly in code, validate with customers, and ship production experiences with a high bar for craft, performance, and reliability.

Design at Ramp is AI first and builder led. Work starts in an LLM to clarify intent and constraints, moves into tools like Claude and Cursor to explore and build, is tested with real customers, and then comes into Figma for systems and polish. AI and self-serve research are default parts of the workflow, not side experiments.

We are looking for multiple design engineers who think like a designer, code like a front-end engineer, and treat AI as a real collaborator.


WHAT YOU’LL DO

- 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.

- 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.

- 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.

- 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.

- 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.

- Champion performance and accessibility: Ship work that is fast, accessible, and robust. Pay attention to semantics, focus states, reduced motion, and Co