Design Engineer at Ramp building high-craft product experiences at the intersection of design and front-end engineering. Role centers on AI-first workflows using Cursor and Claude Code, prototyping in React/TypeScript, and shipping production interfaces for a fintech platform processing $100B+ in annualized spend.
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.
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.
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 Core Web Vitals. Partner with engineers to debug and optimize over time.
Share AI-native workflows: Document prompts, patterns, and workflows you use in Cursor and Claude Code. Share them with designers and engineers to raise the bar across the team.
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
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
• Flexible PTO
• Unlimited AI token usage
• Centralized home-office equipment ordering
• Health and wellness stipend
• Budget for intra-office travel
• Weekly coffee stipend
• 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
• One Medical annual membership
• 401(k), including employer match on contributions made while employed by Ramp
• Fertility HRA (up to $10,000 per year)
• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
• Pet insurance
• In-office perks: lunch, snacks, drinks, and more
• Relocation support to NYC or SF (as needed)
• Group medical, dental, and vision coverage through Sun Life
• Life, AD&D, and disability coverage
• Fertility drug coverage (up to $4,000 lifetime)
• Group Retirement Plan with employer match (RRSP + DPSP)
• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
• Employee Assistance Program and virtual care through Lumino Health
• Private medical insurance through Freedom Elite
• Virtual GP and at-home care via eMed x Livi
• Workplace pension through Penfold, with salary sacrifice option
• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
If you are being referred for the role, please contact that person to apply on your behalf.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.