Ramp
Senior
Build self-serve, AI-augmented platform tooling for ramp.com, Ramp's largest inbound-lead surface
A senior backend product engineering role on Ramp's small Web Engineering team, which owns ramp.com end-to-end (Next.js, Sanity CMS, in-house A/B experimentation platform) and builds tooling — including MCP-integrated, AI-agent-driven workflows — that lets 9+ marketing teams self-serve landing pages, experiments, and content. Requires 4+ years of product engineering experience with a track record of building internal tools/platforms that measurably reduced repetitive work for non-engineers, plus hands-on comfort with agentic/LLM-powered tooling and MCP servers.
Step into this interview
Free · a live voice mock calibrated to this exact role
What this interview tests
- Building self-serve platform tooling that eliminates repetitive engineering requests
- Agentic/AI-augmented workflows with production guardrails (MCP servers, LLM tooling)
- Backend service work in Python/TypeScript alongside a Next.js + Sanity CMS front end
- Prioritization: distinguishing compounding platform work from one-off busywork
- Cross-functional partnership with marketing, design, and PM stakeholders
- Owning a high-traffic, revenue-critical web surface end-to-end
Common question themes
Describe an internal tool or platform you built that measurably reduced non-engineer request volume
How would you design guardrails for an AI agent operating directly on a CMS or design system in production
Tell me about a time you said no to a request or scoped down to ship the right 70%
How do you decide what marketing/growth workflow is worth turning into a self-serve platform capability
Walk me through your experience with MCP servers or agentic tooling, even if exploratory
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