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Microsoft interview notes, page 8 of 60

FAANG / Big Tech

Most of these Microsoft write-ups come from Software Engineers (372), then Product Managers (124) and Machine Learning Engineers (53). The most reported rounds are the technical phone screen (255), the product sense round (111), the system design round (93) and the behavioral / leadership round (49).

597 interview notes · updated Oct 2026

Microsoft·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Microsoft PM interview with a single product design question centered on building a search engine for kids. Pretty open-ended and I wasn't totally sure how deep they wanted me to go on the safety angle versus the UX side.
  • How would you design a search engine specifically for kids?

“I started with user segmentation because I wasn't sure which age range to anchor on, and that actually helped structure the rest.”

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Microsoft·Software Engineer·Technical Phone Screen

Apr 2026
Interviewed at Microsoft for what felt like a senior engineering role. Two questions, both pretty open-ended, and the conversation went deeper than I expected on the distributed systems side.
  • How do you go about diagnosing and fixing performance problems in a distributed system?
  • Tell me about something you recently built or improved that you'd consider genuinely innovative.

“This one stretched longer than I planned.”

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Microsoft·Software Engineer·Technical Phone Screen

Apr 2026
Microsoft coding screen, one question about streaming token processing. Pretty niche problem that felt more like a parsing puzzle than a traditional algo question.
  • Given a stream of strings representing AI output tokens, yield each substring to display in order, stopping at and discarding everything from a special stop token onward (including the rest of the chunk containing it).

“The tricky part is that the stop token can appear mid-chunk, so you can't just skip whole strings.”

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Microsoft·Machine Learning Engineer·Technical Phone Screen

Apr 2026
Interviewed for an ML engineer role at Microsoft, got a classic machine learning fundamentals question about k-means. Pretty standard technical screen, nothing too wild.
  • How do you decide on the right value of k when using the k-means clustering algorithm?

“I talked through the elbow method first, which felt safe, then mentioned silhouette scores.”

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Microsoft·Software Engineer·Onsite - Behavioral / Leadership

Apr 2026
Microsoft behavioral round, one big question that took up most of the time. The depth they expected was a bit more than I anticipated.
  • Walk me through the most significant technical challenge you've faced. Cover the context, what made it hard, the options you weighed, what you decided, the trade-offs involved, and what came out of it.

“This looked simple on paper and I completely underestimated it.”

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Microsoft·Software Engineer·Technical Phone Screen

Apr 2026
Microsoft SWE interview with a graph-based grouping problem. Pretty straightforward once you realized the graph structure was basically a red herring.
  • You're given a graph where each node represents a GPU tagged with a node ID. Group all GPUs by their node ID and return a mapping of node ID to list of GPUs.

“I spent the first minute or two thinking about graph traversal algorithms before realizing none of that mattered.”

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Microsoft·Software Engineer·Onsite - System Design / Architecture

Apr 2026
System design round at Microsoft for a software engineering role. The prompt was about building a re-engagement system for Copilot users, covering things like nudging inactive users and parsing reminders out of LLM conversations.
  • Design a re-engagement system for Copilot users. This includes sending notifications to users who have been inactive, as well as detecting and acting on reminders that users mention during LLM chat sessions.

“Two problems crammed into one prompt basically.”

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Microsoft·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Got a product strategy question for a PM role at Microsoft, specifically around Bing and what you'd actually do to eat into Google's market share. Single question, no fluff, just a big open-ended case.
  • You're a PM at Bing. What would you do to take 5% of Google's search market share?

“The number is deceptively specific.”

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Microsoft·Software Engineer·Technical Phone Screen

Apr 2026
Microsoft data science interview with a question on transformer architecture. Pretty technical, felt like a screen to see if you actually know the internals or just use the libraries.
  • In the transformer architecture, how does the decoder differ from the encoder?

“I knew the broad strokes but fumbled explaining masked self-attention clearly.”

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Microsoft·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
Microsoft PM interview with a single product sense question about building a screen time monitoring tool for kids during the pandemic. Pretty open-ended, no clear right answer, and I spent way too long on the problem framing before getting to actual features.
  • Given the rise in screen time during the pandemic, how would you design a software product to help parents monitor and manage their child's laptop and mobile usage?

“I went straight into listing features and had to backtrack when the interviewer asked who exactly we're building for.”

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