Google Coding & Algorithms Interview Questions
Practice 461 real Google interview questions for 2026 — Google interview questions that cover Coding & Algorithms, Behavioral & Leadership, Analytics & Experimentation, Machine Learning, and Statistics & Math across Software Engineer, Data Scientist, Machine Learning Engineer, and Product Manager roles. Real questions from actual interviews with detailed solutions tailored for interview preparation and role-specific skill building. Expect coding-heavy rounds and design-focused conversations first, then analytics and behavioral assessments that probe impact, collaboration, and "Googleyness." For Software Engineer candidates this collection emphasizes string and substring matching, memory-efficient undo/redo and batched state operations, graph/time-series connectivity and queue problems, plus scaling for huge inputs and behavioral scenarios about teamwork and ambiguity. Data Scientist questions repeat themes in causal and unbiased upgrade experiments, bootstrap inference and percentile estimation from buckets, sampling and subarray algorithms, and sequence analytics. Machine Learning Engineer prompts focus on LLM lifecycle and trade-offs, recommendation and cold-start ranking strategies, weighted sampling and search, and building chatbots over mixed structured/unstructured data. Product Manager items center on Google Maps/Android product ideation, real-time data throughput and estimation, market sizing, and explaining technical tradeoffs to non-technical stakeholders. Use targeted coding practice, mock design interviews, experiment design drills, and concise STAR stories for best results.
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Handle joining overworked low-WLB team
Scenario You have just joined a new engineering team. You quickly notice that: - Every team member appears very busy and often works long hours. - Wor...
Implement sampling and subarray scan
A coding interview included the following algorithm questions: 1. You are given access to a function rand01() that returns an independent sample from ...
Design A/B Test for Subscription Price Increase Effectiveness
Scenario A B2B SaaS company is considering: 1) Raising subscription prices and wants a two-week A/B test to evaluate the impact. 2) Improving a sign-u...
Design Scalable Database and Analyze E-commerce Data
transactions +-----------+----------+------------+------------+ | user_id | order_id | product_id | order_time | +-----------+----------+-----------...
Evaluate College Impact on Income: Address Bias and Validity
Study Setup You have an observational, cross-sectional dataset of 1,000 adult Mountain View residents. The outcome is individual annual income (pre-ta...
Engineer Features to Enhance Smartphone Battery Life Prediction
Battery Life Prediction with Sparse History Problem You are given sparse discharge traces that record battery percentage over elapsed time for prior u...
Evaluate Optimal Jogging Routes Feature with A/B Testing
Evaluate and Experiment: Jogging Route Recommendations in Google Maps Context Google Maps is considering a feature that recommends optimal jogging rou...
Sample and Simulate Price Adjustments in R with dplyr
Products +----+-----------+-------+ | id | product | price | | 1 | phone | 500 | | 2 | tablet | 300 | | 3 | laptop | 1000 | | 4 |...
Real-Time Google Maps Photos — New Product Ideation
Product Design Prompt: Real-Time Street-Level Imagery in Maps Assume street-level photos in Maps refresh in (near) real time across covered areas (e.g...
Favorite Products & Improvement Metrics
Onsite PM Interview: Product Thinking and Metrics You are a Product Manager candidate. Use concise, structured answers and define metrics clearly. If ...
Design distributed log storage service
Design a Distributed Append-Only Log Storage System You are asked to design the storage layer of a distributed, partitioned, replicated append-only lo...
Build next-word predictor with O(1) lookup
Problem You are given a training corpus where each training example is a tokenized sentence (array of words). Example training sentences: - ["I", "am"...
Implement sampling, subarray scan, and percentile estimate
You will solve three independent coding tasks. Problem 1: Generate a 2D uniform sample in a square You are given access to a function rand01() that re...
Find Longest Increasing Continuous Subarray
Given an integer array nums, return the length of the longest contiguous strictly increasing subarray. Here, "continuous" means the elements must appe...
Decide confidence level and forecast video views
Part A — Choosing 95% vs 99% confidence level You are running an A/B test and must choose the confidence level for hypothesis testing / confidence int...
Improve Google Maps and Android phones
You are interviewing for a Product Manager role at Google. Address the following product strategy questions: 1. How would you improve Google Maps? Be ...
Design A/B Test for Google Maps UI Change
A/B Test Design: Moving the Google Maps Search Bar to the Bottom Context Google Maps is considering a UI change: moving the search bar from the top to...
Boost Google Workspace Chat Usage with Strategic A/B Testing
Scenario Google Workspace Chat adoption is low, and leadership asks for a data-driven plan to grow monthly active users (MAU). Task Design a plan to d...
Handle conflict, priorities, and ownership scenarios
Behavioral interview prompts Answer the following behavioral questions. Use concrete examples from your experience. 1) Disagreement / conflict - Descr...
Implement sampling and subarray algorithms
This coding round contained two algorithmic prompts: 1. Uniform sampling in a 2D square You are given access to a function rand01() that returns ...