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.

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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

How candidates describe it

Real Senior Software Engineer | GTM Platform interview stories — retold from candidates' public write-ups, with sources.

Google · Backend Software EngineerNo offer

Google Backend Engineer Interview Experience: Bangalore Onsite (Rejected)

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Interviewed April 2021 · Bangalore, India

Google · L3 Software EngineerOffer

Google L3 software engineer interview: phone screen, four coding rounds, and the Googleyness round

A candidate with two years of experience went from recruiter outreach to offer over about four months. The onsite was four 45-minute coding rounds — three of them featuring binary trees — and one round turned into a 25-minute chain of follow-ups about approximating an optimal solution at scale.

Interviewed June 2020 · Bangalore, IN

Google · L4 Software EngineerNo offer

Google L4 Software Engineer Interview: Eight Rounds, No Offer

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Interviewed February 2024 · Not specified

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