← Back to Directory

LinkedIn interview notes, page 2 of 32

Large Enterprises

Most of these LinkedIn write-ups come from Software Engineers (156), then Product Managers (66) and Data Scientists (37). The most reported rounds are the technical phone screen (169), the product sense round (62), the system design round (42) and the behavioral / leadership round (20).

316 interview notes · updated Oct 2026

LinkedIn·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
PM interview at LinkedIn centered on a single product case about live video. Two questions, both connected, so it felt more like one long conversation than a traditional Q&A format.
  • How would you decide whether LinkedIn should launch a live video feature?
  • If LinkedIn did move forward with live video, what would you actually build?

“I went straight to user needs and started mapping out use cases before thinking about whether this even fits LinkedIn's core value prop.”

View Post

LinkedIn·Machine Learning Engineer·Onsite - System Design / Architecture

Apr 2026
LinkedIn MLE system design round focused entirely on building a feed ranking system from scratch. The scope was massive and the discussion went deep into retrieval, ranking, and serving tradeoffs. Felt like a real eng design session more than a typical interview.
  • How would you design a personalized feed ranking system for a LinkedIn-style platform, covering both jobs and content?
  • How would you structure the feature store for a feed ranking system, and what kinds of features would you pull in?
  • Walk me through how you'd handle cold-start for both new users and new items in a ranking system at this scale.
  • How would you evaluate the ranking system both offline and online, and how do you handle position bias in your training data?
  • How would you support multiple ranking objectives like job relevance, engagement, and freshness, and let product teams tune the weights?
  • What are the infrastructure and cost tradeoffs when serving a ranking model at this scale with low-latency requirements?

“This is the kind of question where you can drown in scope if you're not careful.”

View Post

LinkedIn·Software Engineer·Technical Phone Screen

Apr 2026
LinkedIn coding screen for a software engineer role, focused entirely on array problems with a follow-up twist I didn't see coming. The circular wrap-around variant is what tripped me up.
  • Given a binary array, find the maximum number of consecutive 1s in the array.
  • Follow-up: now assume the array is circular, meaning the last element wraps around to the first. Find the maximum consecutive run of 1s, which may span the wrap-around point.

“Pretty standard stuff, single pass tracking a running count and a max.”

View Post

LinkedIn·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
LinkedIn PM interview with a strategy question about a potential acquisition. Just one question but it opens up a lot of directions and I wasn't totally sure which angle they wanted me to go deep on.
  • Should LinkedIn acquire Discord? Make a case for or against.

“My first instinct was to just say yes and stack up reasons, but I caught myself and tried to actually think through what LinkedIn's core business needs versus what Discord actually is.”

View Post

LinkedIn·Software Engineer·Onsite - Behavioral / Leadership

Apr 2026
LinkedIn data engineer interview, behavioral round focused entirely on a past project deep dive. One question, but they really dug in on the numbers and trade-offs so it wasn't a quick conversation.
  • Walk me through a project you worked on: what problem were you solving, what was your specific contribution and the technical decisions you made, what trade-offs did you weigh, and what concrete impact did it have in terms of measurable outcomes?

“This is the kind of question that sounds easy until you're mid-answer and realize you've been vague for two minutes.”

View Post

LinkedIn·Machine Learning Engineer·Technical Phone Screen

Apr 2026
LinkedIn ML engineer technical screen, pretty much a pure deep-learning fundamentals session. No coding, no system design, just someone grilling me on neural net internals for an hour. Came out feeling okay about some of it and genuinely shaky on the optimizer math.
  • Walk me through the typical layers in an artificial neural network and what each one does.
  • Compare ReLU, sigmoid, SwiGLU, and SiLU as activation functions. When would you actually choose one over another?
  • How do you pick a loss function for regression, binary classification, multi-class classification, and ranking tasks?
  • Explain how Adam works, specifically the first and second moment estimates, bias correction, and the actual update rule.

“Started fine, input layer, hidden layers, output layer, talked about fully connected vs not.”

View Post

LinkedIn·AI Engineer·Onsite - Behavioral / Leadership

Apr 2026
Behavioral round for an AI Engineer role at LinkedIn, focused entirely on project deep-dives. No coding, no system design puzzles, just pick a couple of meaningful projects and be ready to defend every decision you made.
  • Walk me through a project you worked on with significant scope and impact. What was the problem, what was your specific role, and what were the outcomes?
  • What trade-offs did you face during the project, and how did you decide between competing approaches?
  • What would you do differently if you ran this project again, and what did you learn from it?

“This is the core of the whole round.”

View Post

LinkedIn·Software Engineer·Onsite - Product Sense / Strategy

Apr 2026
LinkedIn strategy question about market performance drivers. Not much else to go on here, but it's the kind of question that sounds broad and then you realize you have no idea where to start.
  • What factors could drive LinkedIn's performance differences across various markets?

“I'd probably start by segmenting markets by maturity: developed vs emerging, then layer in things like professional culture, smartphone penetration, local competition (like Xing in Germany or Maimai in China), and how recruiters actually use the platform in each region.”

View Post

LinkedIn·Technical Program Manager·Hiring Manager Screen

Apr 2026
TPM interview at LinkedIn with a pretty direct scenario question about scope and time constraints. Nothing too surprising but it made me think harder than I expected.
  • As a TPM, how would you approach a project where the deliverables stay the same but the timeline gets cut in half?

“My first instinct was to jump straight into prioritization and parallel workstreams, but I think I skipped over the part where you push back and validate whether the deadline is actually fixed.”

View Post

LinkedIn·Product Manager·Onsite - Product Sense / Strategy

Apr 2026
LinkedIn PM interview question about whether to spin out the messaging feature into a standalone app. No details shared about how it went, just the question itself.
  • Your VP of Product wants to pull LinkedIn's messaging feature out of the main app and launch it as a completely separate standalone messenger. How do you respond?

“This one requires you to push back on a VP without just saying no, which is the tricky part.”

View Post