Interview prep · Google

Practise Google interview questions.

Free practice for Google software engineer, PM, and TPM interviews — 1000+ MCQs, AI-graded estimation questions used in PM and system-design rounds, and real interview write-ups from Google candidates.

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What the Google loop actually looks like.

Google's interview loop is famously structured: a coding screen, two or three coding rounds at on-site (DSA-heavy), at least one system design round at L5+, and a Googleyness/leadership round. PMs face product-sense, execution, and estimation questions; TPMs face a hybrid of coding, design, and project judgment.

Coding screens

DSA-focused. Two-pointer, BFS/DFS, dynamic programming, backtracking. Strong emphasis on edge cases and complexity analysis.

System design (L5+)

Design at scale. Capacity planning is part of the rubric — expect to do back-of-the-envelope math on QPS, storage, and bandwidth.

Estimation / guesstimate (PM, occasionally SWE)

Market sizing or capacity estimation. "How much storage to host all Google Street View images?" is a real example. Structure beats final number.

Behavioral / Googleyness

STAR-format examples of leadership, ambiguity, and disagreement-and-commit.

Topics Google interviewers lean on.

Graphs (BFS/DFS, shortest path)Dynamic programmingTrees & recursionHash maps & two-pointerSystem design at scale (QPS, storage, latency)Capacity estimation

Practise the languages Google screens on

JavaScript

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What separates offers from rejections at Google.

1
Talk through the problem before coding. Google interviewers grade communication explicitly.
2
For system design, do the back-of-envelope math early — don't skip to architecture.
3
Expect at least one estimation question. Practise structuring assumptions, not memorising numbers.
4
On coding rounds, write tests as you go. Walking through a few cases earns you signal points.

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Sources

Round-format and topic claims are sourced from the public interview-prep press above. We refresh these as companies update their loops.