Ramp
Mid
Show you own outcomes end to end and design fluidly through an AI-first workflow
Interview prep for a Product Designer role at Ramp, where design work literally starts in an LLM (drafting PRDs, surfacing edge cases), moves through Cursor/Claude Code prototyping, and lands in Figma only for systems and polish. Expect deep questions on end-to-end ownership of complex, data-dense B2B/fintech product problems, self-serve customer research as a velocity tool, and concrete comfort using AI tools as part of the actual design process — not just design-adjacent talk about AI.
Step into this interview
Free · a live voice mock calibrated to this exact role
What this interview tests
- AI-first design workflow: LLM scoping → Cursor/Claude Code prototyping → Figma polish
- End-to-end ownership from problem definition through launch and iteration
- Self-serve customer research and validation
- Designing for complexity: 80/20 tradeoffs in data-dense B2B/fintech flows
- Collaborating directly with PMs and engineers on success metrics
- Portfolio depth in complex, systems-heavy product design
Common question themes
Walk me through a project where you started in an LLM to clarify the problem before designing
Describe a time you prototyped a flow in Cursor or Claude Code instead of going straight to Figma
Tell me about a design you owned from problem definition through launch — what metric moved
How have you validated a design assumption directly with customers, without a research team gating you
Describe a complex product surface where you simplified the default experience while preserving edge-case handling
How do you work with a PM to define and track success metrics for a shipped feature
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