# Get a Job at LinkedIn: Interview Process and Top Questions

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Source: https://www.aced.io/blog/linkedin-interview-process
Source observed: 2026-11-05T02:19:30.976Z
Last checked: 2026-11-05T02:19:30.976+00:00
Indexed: 2026-11-07T03:52:36.975+00:00

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# Get a Job at LinkedIn: Interview Process and Top Questions

We are Aced (formerly Exponent), a tech interview preparation platform offering interview guides, courses, interview questions, peer practice, mock interviews, coaching, resume review, salary negotiation, job referrals, and a free account option. This guide helps candidates understand LinkedIn’s hiring process and prepare for interviews across behavioral, coding, system design, machine learning, data science, and product management roles.

**Author:** Christy Umberger  
**Last updated:** a month ago

![LinkedIn office building](https://storage.ghost.io/c/a5/f5/a5f5c2f0-4c62-43c7-891b-662a0b6d68b3/content/images/2024/10/Exterior-LinkedIn-Office-Building-Owned-by-Microsoft.jpeg)

## About LinkedIn

[LinkedIn](https://www.aced.io/companies/linkedin?ref=exponent-blog.ghost.io) has been owned by [Microsoft](https://www.aced.io/companies/microsoft?ref=exponent-blog.ghost.io) since 2016 and hosts over 1 billion users on its professional social networking platform. LinkedIn generates revenue from subscriptions, advertising, and recruitment solutions.

LinkedIn’s products include:

- LinkedIn Sales Navigator
- LinkedIn Recruiter
- LinkedIn Jobs
- LinkedIn Learning

LinkedIn’s vision is to create economic opportunities for every member of the global workforce. Candidates who are lifelong learners and connect with that vision may be a good fit.

LinkedIn opportunities for people beginning or changing career paths include [internships](https://careers.linkedin.com/pathways-programs/internships?ref=exponent-blog.ghost.io), [entry-level opportunities for new graduates](https://careers.linkedin.com/pathways-programs/entry-level?ref=exponent-blog.ghost.io), [apprenticeships](https://careers.linkedin.com/pathways-programs/apprenticeships?ref=exponent-blog.ghost.io), and [LinkedIn Scholars](https://careers.linkedin.com/scholars?ref=exponent-blog.ghost.io), which supports academic and researcher work in data science and AI.

## LinkedIn interview process

The process typically takes **4–8 weeks** and may include:

1. Recruiter phone screen
2. Hiring manager screen for non-technical roles
3. Technical screen for technical roles
4. Virtual onsite final round

The process can take longer near the end because the final hiring decision may take a week or longer.

LinkedIn has added an AI coding round to the onsite. Candidates receive a HackerRank problem with HackerRank’s built-in AI assistant enabled and are expected to use it. Interviewers then evaluate reasoning about the AI output: why the candidate selected an AI-suggested approach over alternatives, how each change would be tested, and what the candidate would do differently in production.

Each LinkedIn onsite round has two interviewers: one leads the questions while the other shadows and calibrates in real time. Address both interviewers when explaining tradeoffs or design decisions.

### Recruiter phone screen

The recruiter screen is a **30-minute phone call** focused on basic behavioral questions. Be ready to discuss your [resume](https://www.aced.io/resume?ref=exponent-blog.ghost.io), how your experience fits the job description, and why you want to work at LinkedIn.

### Hiring manager screen

Some candidates for non-technical roles proceed to a **30–45-minute video call** with the hiring manager or a senior team member. The conversation explores experience and [technical domain knowledge](https://www.aced.io/questions/1514/communicating-technical-needs-non-technical?ref=exponent-blog.ghost.io) in greater depth.

### Technical screen

All engineering roles receive a technical screen by phone or video, either before or after the recruiter screen. Expect a **45–60-minute** CoderPad coding challenge divided between [SQL](https://www.aced.io/courses/sql-interviews?ref=exponent-blog.ghost.io) and Python, generally at easy-to-medium difficulty.

The screen tests basic data structures, algorithms, and computer science fundamentals. It begins with knowledge questions and continues with one or two [coding questions](https://www.aced.io/questions?filterBy=codeEditor&page=1&ref=exponent-blog.ghost.io). Your code does not necessarily have to run to be assessed well. Prioritize communication: explain your process, testing strategies, and edge cases; complete the task efficiently; and optimize if asked.

### Final round

The final round is a virtual onsite with **four to five rounds**, each lasting **45–60 minutes**, with a panel of interviewers. The rounds differ by role, but every candidate can expect a behavioral round with the hiring manager.

## Top LinkedIn interview questions

Browse [real interview questions asked at LinkedIn](https://www.aced.io/questions?company=linkedin&page=1&ref=exponent-blog.ghost.io).

### Behavioral

- [Tell me about yourself.](https://www.aced.io/questions/104/tell-me-about-yourself?ref=exponent-blog.ghost.io)
- [Why do you want to work at LinkedIn?](https://www.aced.io/questions/3370/why-work-at-linkedin?ref=exponent-blog.ghost.io)
- [Tell me about a time when you questioned the status quo.](https://www.aced.io/questions/943/questioned-status-quo?ref=exponent-blog.ghost.io)
- How did your past job prepare you for this one?
- Tell me about a time you dealt with conflict.
- What is one achievement at work you’re proud of?

### Coding

- [Merge two sorted arrays.](https://www.aced.io/questions/966/merge-two-sorted-lists?ref=exponent-blog.ghost.io)
- [Algorithms](https://www.aced.io/courses/software-engineering/swe-practice/sorting-algorithms?ref=exponent-blog.ghost.io)
- [Arrays](https://www.aced.io/courses/software-engineering/swe-practice/arrays?ref=exponent-blog.ghost.io)
- [Linked lists](https://www.aced.io/courses/software-engineering/swe-practice/linked-lists?ref=exponent-blog.ghost.io)
- [Graphs and trees](https://www.aced.io/courses/software-engineering/swe-practice/graphs?ref=exponent-blog.ghost.io)
- [Strings](https://www.aced.io/courses/ml-engineer/swe-practice/most-common-words?ref=exponent-blog.ghost.io)

### System design

- Design a service or product API.
- Design a recommender system.
- [Design Netflix.](https://www.aced.io/courses/system-design-interviews/design-netflix?ref=exponent-blog.ghost.io)

### Machine learning

- [Implement k-means clustering.](https://www.aced.io/questions/1679/implement-k-means-clustering?ref=exponent-blog.ghost.io)
- [Display job postings to users based on their behavior and geography.](https://www.aced.io/questions/3398/display-job-postings-based-on-search-history?ref=exponent-blog.ghost.io)
- [Describe your machine-learning experience.](https://www.aced.io/questions/3399/describe-machine-learning-experience?ref=exponent-blog.ghost.io)
- [Apply the quadratic formula to a sorted array so the resulting array is still sorted.](https://www.aced.io/questions/3401/apply-quadratic-formula-sorted-array?ref=exponent-blog.ghost.io)
- [Create an unbiased coin from a biased coin function.](https://www.aced.io/questions/3397/create-unbiased-coin-from-biased?ref=exponent-blog.ghost.io)
- [Find a tuple of three integers that can form a triangle.](https://www.aced.io/questions/3403/find-triangle-tuple-in-array?ref=exponent-blog.ghost.io)

### Data science

- Describe a metric for website performance.
- Describe how to build dashboards.
- [Aggregate functions](https://www.aced.io/courses/data-science/sql-interviews/introduction-to-sql-aggregations?ref=exponent-blog.ghost.io)
- [Joins](https://www.aced.io/courses/data-science/sql-interviews/joins?ref=exponent-blog.ghost.io)
- [SQL window functions](https://www.aced.io/courses/data-science/sql-interviews/window-functions?ref=exponent-blog.ghost.io)
- [Statistics](https://www.aced.io/courses/data-science/statistics-experimentation-questions/statistics-experimentation-intro?ref=exponent-blog.ghost.io)
- SQL data manipulation
- Python data structures

### Product management

- [Describe a time when you worked on a project that wasn't initially on the roadmap. What prompted this project, and how did you decide it was worth pursuing?](https://www.aced.io/questions/3616/off-roadmap-project-decision-process?ref=exponent-blog.ghost.io)
- [What makes a good product manager?](https://www.aced.io/questions/524/what-makes-a-good-product-manager?ref=exponent-blog.ghost.io)
- [Tell me about a time you got a project back on track.](https://www.aced.io/questions/3615/project-back-on-track?ref=exponent-blog.ghost.io)
- [How would you improve LinkedIn Messaging?](https://www.aced.io/questions/3825/improve-linkedin-messaging?ref=exponent-blog.ghost.io)
- [What's your favorite digital product or hardware product? Why?](https://www.aced.io/questions/3869/favorite-digital-hardware-product-reasons?ref=exponent-blog.ghost.io)

## LinkedIn interview loops explained

Review common [LinkedIn interview loops](https://www.aced.io/guides?query=linkedin&ref=exponent-blog.ghost.io).

### Behavioral

The behavioral round lasts **30–45 minutes** with the hiring manager. It includes behavioral and situational questions about cultural and team fit, previous roles, projects and challenges, personal goals, high-level technical concepts, and interest in LinkedIn.

LinkedIn’s stated values are:

- We put members first.
- We trust and care about each other.
- We are open, honest, and constructive.
- We act as One LinkedIn.
- We embody diversity, inclusion, and belonging.
- We dream big, get things done, and know how to have fun.

Prepare examples that connect your experience and goals to these values. Practice by discussing responses in a [mock interview with a peer](https://www.aced.io/practice?src=nav&ref=exponent-blog.ghost.io).

### Coding

Final coding rounds resemble the technical screen but are more challenging. Prepare for one or two CoderPad questions in one hour at medium-to-hard difficulty. Explain your reasoning, [optimize your code](https://www.aced.io/courses/software-engineering/swe-practice/optimizing-your-algorithms?ref=exponent-blog.ghost.io), handle edge cases, and expect data-structure, algorithm, and real-world problem-solving questions.

Interviewers assess:

- **Coding fundamentals:** Understanding of data structures and algorithms, including [space-time complexity](https://www.aced.io/courses/software-engineering/swe-practice/analyzing-space-complexity?ref=exponent-blog.ghost.io).
- **Code quality and maintainability:** Ability to catch mistakes, plan tests, name variables appropriately, and write human-readable code.
- **Experience with large datasets:** LinkedIn products serve nearly a billion users; questions may involve large datasets and novel spatial or mathematical calculations. Practice [graph questions](https://www.aced.io/courses/software-engineering/swe-practice/graph-search?ref=exponent-blog.ghost.io).
- **Communication:** Ability to articulate ideas, ask clarifying questions, identify the root of a problem, and explain why a solution is appropriate.

### System design

All technical roles include a **one-hour system design interview**. Candidates lead the discussion after a prompt such as “Design Netflix.” Clarify the problem, design a high-level system, evaluate edge cases, and explain design and decision-making tradeoffs.

Prepare to discuss:

- **Usability:** Assessing and adapting to the end user’s experience.
- **Security:** Resilience to DDoS, spoofing, tampering, repudiation, and similar threats.
- **Availability:** Handling failures.
- **Scalability:** Handling traffic changes.
- **Operational characteristics:** Diagnosing and debugging problems.

Prepare with [our system design course](https://www.aced.io/courses/system-design-interviews?ref=exponent-blog.ghost.io).

### Machine learning

The machine learning round is a **one-hour CoderPad interview** assessing ML technical knowledge, problem-solving, and communication. LinkedIn products using machine learning include the news feed, recommendation systems, and ads ranking systems. Learn more through [LinkedIn’s AI blog](https://www.linkedin.com/blog/engineering/artificial-intelligence?ref=exponent-blog.ghost.io).

Prepare for ML fundamentals and algorithms, model evaluation, and feature engineering, including:

- [K-means clustering](https://www.aced.io/courses/ml-engineer/ml-concepts-interviews/k-means?ref=exponent-blog.ghost.io)
- [Linear regression](https://www.aced.io/courses/ml-engineer/ml-concepts-interviews/linear-regression?ref=exponent-blog.ghost.io)
- [Logistic regression](https://www.aced.io/courses/ml-engineer/ml-concepts-interviews/logistic-regression?ref=exponent-blog.ghost.io)
- [Neural networks](https://www.aced.io/courses/ml-engineer/ml-concepts-interviews/neural-network?ref=exponent-blog.ghost.io)
- [Arrays](https://www.aced.io/courses/ml-engineer/swe-practice/arrays?ref=exponent-blog.ghost.io)
- [Graphs and trees](https://www.aced.io/courses/ml-engineer/swe-practice/graphs?ref=exponent-blog.ghost.io)
- [Decision trees](https://www.aced.io/courses/ml-engineer/ml-concepts-interviews/decision-trees?ref=exponent-blog.ghost.io)

### Data science

The data science loop consists of **one to two rounds**, each lasting **45–60 minutes**, assessing analytical, statistical, technical, and communication skills and the ability to work with large datasets. Data scientists work closely with product teams, so interviews include product metrics, business cases, data-driven decisions, statistics, and experimentation design. Explore [LinkedIn’s data blog](https://www.linkedin.com/blog/engineering/data?ref=exponent-blog.ghost.io).

Prepare:

- [Hypothesis testing](https://www.aced.io/courses/data-science/statistics-experimentation-questions/answer-hypothesis-tests-questions?ref=exponent-blog.ghost.io)
- [A/B testing](https://www.aced.io/courses/data-science/statistics-experimentation-questions/answer-ab-test-questions?ref=exponent-blog.ghost.io)
- [Probability](https://www.aced.io/courses/data-science/statistics-experimentation-questions/answer-probability-regression-questions?ref=exponent-blog.ghost.io)
- Basic statistics
- Data manipulation
- Data modeling

### Product management

LinkedIn PM rounds include product sense or product design, analytical, and estimation questions. Stay user-focused in product-sense questions and use the [“broad, then deep”](https://www.aced.io/courses/general-interview/broad-then-deep?ref=exponent-blog.ghost.io) framework. Analytical questions cover business decisions, product strategy, metrics, and data. [Estimation questions](https://www.aced.io/courses/estimation/introduction-estimation-questions?ref=exponent-blog.ghost.io) assess estimation logic and market sizing; clarify the problem and communicate your approach rather than focusing only on the final number. PM final rounds may also include case studies and presentations to the interview panel.

## LinkedIn interview tips

### Know LinkedIn inside and out

LinkedIn is more than a professional networking platform. Learn about its products through [LinkedIn’s product page](https://business.linkedin.com/?ref=exponent-blog.ghost.io).

### Demonstrate collaboration, leadership, and learning

Prepare specific anecdotes from past work that demonstrate collaboration, leadership, and learning. Concrete examples are especially useful in recruiter and hiring manager behavioral interviews.

### Practice fundamental technical questions

LinkedIn technical questions are mainly easy and medium difficulty, although final coding rounds may reach medium-to-hard difficulty and include real-world problem-solving. Practice fundamental data structures and algorithms in SQL and Python.

## FAQs

### How competitive are LinkedIn interviews?

LinkedIn interviews are generally described as easy to medium difficulty. The final coding round can be more difficult, with medium-to-hard questions.

### How should I prepare?

1. Update your LinkedIn profile; LinkedIn may review your profile and [resume](https://www.aced.io/resume?ref=exponent-blog.ghost.io).
2. Learn LinkedIn’s offerings through [its product page](https://business.linkedin.com/?ref=exponent-blog.ghost.io).
3. For technical roles, practice [coding](https://www.aced.io/courses/software-engineering?ref=exponent-blog.ghost.io), especially data structures and algorithms.
4. Try a [peer mock interview](https://www.aced.io/practice?src=nav&ref=exponent-blog.ghost.io) or obtain [interview coaching](https://www.aced.io/coaching?ref=exponent-blog.ghost.io) from a technology professional.

### Does LinkedIn hire students or new graduates?

Yes. LinkedIn offers entry-level opportunities, student internships, apprenticeships for people starting in a new field, and [LinkedIn Scholars](https://careers.linkedin.com/scholars?ref=exponent-blog.ghost.io) for academics conducting data science and AI research that could influence LinkedIn products. See the [apprenticeship program](https://careers.linkedin.com/pathways-programs/apprenticeships?ref=exponent-blog.ghost.io).

## More from Aced

[Browse LinkedIn interview questions](https://www.aced.io/questions?company=linkedin&src=blog) to review recently asked questions and answers from candidates.

We offer a free account with interview guides, insider tips, and courses. [Create your free account](https://www.aced.io/signup?src=blog).

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