NYC·127 interview reviews·Easy difficulty
The process was pretty straightforward. It started with an online assessment, followed by a phone screen, and concluded with a final interview round that had two LeetCode medium difficulty problems.
“K Closest Points to Origin - Find K points closest to origin using Manhattan distance”
Straightforward — just 2 medium leetcode-tagged problems in 45 minutes. Very fast paced though so be aware of time. A few follow-up questions for the interviewer at the end. No behavioral questions.
“Product of Array Except Self - Return an array where each element is the product of all other elements”
Straightforward — just 2 medium leetcode-tagged problems in 45 minutes. Very fast paced though so be aware of time. A few follow-up questions for the interviewer at the end. No behavioral questions.
“Tell me about a time you disagreed with a decision and how you handled it”
Straightforward — just 2 medium leetcode-tagged problems in 45 minutes. Very fast paced though so be aware of time. A few follow-up questions for the interviewer at the end. No behavioral questions.
“Design Rate Limiter - Implement an API rate limiting system”
The interview difficulty is rated 2.3/5 by candidates. 74% report a positive experience. Focus on Python, Machine Learning, Statistics to improve your chances.
The process typically takes 2–6 weeks from application to final decision, depending on the hiring cycle and team availability.
Most candidates go through a recruiter screen, followed by technical coding rounds, and a final interview loop. 72% of candidates applied online.
Common topics include data structures & algorithms (arrays, trees, graphs), system design, and behavioral questions using the STAR method. Practice with our AI mock interviewer to prepare.
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