Ramp Interview Experiences & Questions
2 real Ramp interviews shared by candidates: every round, the questions they were asked, how they answered, and whether they got the offer. Latest: Aug 2026.
What to expect at Ramp
Based on 2 real interviews
Roles
Software Engineer (1), AI Engineer (1)
The Ramp interview process
Most common round types: Behavioral (2), Coding (2), Machine Learning (1), Project Discussion (1), System Design (1).
Real Ramp interview questions
- Design a workflow for Cache -> In Memory -> Distributed Storage -> Database flow.
- Machine learning using transformers to embed receipts and transactions
- What are you passionate about?
- API problem where you have to call an endpoint to navigate a "maze" of responses
- Escape the Maze - implementing HTTP requests to a URL until an exit URL is found (WebCrawler with robust error handling). Second level requires special auth-headers that are collected as you crawl
- Implement an in-memory database in CodeSignal, with each round adding more functionality.
- Receipt reconciliation using AI to guide implementation
All 2 Ramp interview experiences
“It went pretty well, but I missed the coding one since I didn't realize there was a second part and they didn't give me much time.”
“My biggest issue was the machine learning round that I wasn't aware. I was told we would have a CodeSignal interview but it turned out to be a Google Collab interview. Had I known I was going to do…”
Frequently asked questions
How many rounds are in the Ramp interview?
Candidates report a typical 3.5 rounds, usually including a recruiter screen, online assessment, phone screen, technical round.
How hard is the Ramp interview?
Candidates rate it 3.5/5 on average (difficult), across 2 interviews.
How long does the Ramp hiring process take?
About 3 weeks from first contact to decision, based on reported timelines.
What percentage of Ramp candidates get an offer?
0% of candidates with a final result got an offer (0 of 2).
What does the Ramp interview focus on?
The most common round types are Behavioral, Coding, Machine Learning, Project Discussion.