How LinkedIn Interviews in 2026: Process, Questions & What They Score

1. 01

   Two Sum (or variants requiring a hash-map based approach)

   Tests hash-map lookup; the one-pass O(n) complement check is the expected answer.

2. 02

   Word Break / Word Break II (string segmentation via dynamic programming)

   Tests dynamic programming on strings; Word Break II adds memoized backtracking to enumerate sentences.

3. 03

   Design and implement an LRU Cache

   Classic design-and-implement; hash map plus doubly linked list for O(1) get and put.

4. 04

   Merge overlapping intervals / merge sorted arrays or lists

   Tests sorting plus a linear sweep; merge by comparing each start against the current interval's end.

5. 05

   Sparse Matrix Multiplication (a sparse-data problem that shows up on LinkedIn's LeetCode company-tagged list; don't confuse it with the similarly-named 'Dot Product of Two Sparse Vectors,' which is more consistently attributed to Meta/Facebook)

   Tests exploiting sparsity; iterate only nonzero entries instead of the naive triple loop.

6. 06

   Repeated DNA Sequences / Isomorphic Strings (hash-set and mapping problems)

   Tests hash-set and bijective character-mapping techniques on strings.

7. 07

   Graph traversal problems (e.g., shortest path or connectivity in a social-graph-style structure)

   Tests BFS/DFS fundamentals; shortest paths and connectivity in social-graph style structures.

8. 08

   In the newer AI-enabled coding round: LRU/LFU-cache-style, interval-merging, or structured data-transformation problems solved collaboratively with an in-IDE AI assistant, followed by production-concerns follow-ups (concurrency, multithreading, edge cases, scaling)

   Tests coding with an AI assistant; follow-ups probe concurrency, edge cases, and production readiness.

Reported problems, listed so you know what to expect. Practice them in your own editor or on the platform you prefer; SupaCV's practice mode coaches how you talk through them.

1. 01

   Design LinkedIn's News Feed (personalization, ranking by relevance/freshness/engagement, real-time aggregation at scale)

   System design; feed ranking, fan-out on write vs read, caching, and real-time aggregation at scale.

2. 02

   Design a Notification System capable of high-throughput, near-real-time delivery

   System design; high-throughput delivery, queueing, deduplication, and near-real-time latency targets.

3. 03

   Design a 'People You May Know' or job-recommendation system

   System design; candidate generation from the graph, ranking features, and offline vs online computation.

4. 04

   Design a typeahead/search system for a professional network

   System design; prefix indexing with tries, top-k suggestion ranking, and millisecond latency budgets.

5. 05

   Design a generic large-scale system such as Netflix or a rate limiter (used to test general distributed-systems fundamentals, not LinkedIn-specific knowledge)

   System design fundamentals; partitioning, caching, and replication on a generic large-scale system.

6. 06

   Follow-up trade-off discussions: pull vs. push feed generation models, caching strategy, and consistency vs. freshness trade-offs

   Tests trade-off reasoning; pull vs push feed generation, caching strategy, and consistency vs freshness.

Reported problems, listed so you know what to expect. Practice them in your own editor or on the platform you prefer; SupaCV's practice mode coaches how you talk through them.

1. 01

   As PM for LinkedIn's Trust team, senior influencers are complaining about excessive spam connection requests and threatening to leave the platform: what do you do?

2. 02

   Design a feature to help LinkedIn source and hire remote workers for software/IT companies

3. 03

   As PM of the LinkedIn feed, would you prioritize 'Sponsored Ads' or 'People You May Know' in the top-right/prominent placement, and why?

4. 04

   How would you measure engagement on LinkedIn Groups?

5. 05

   Application volume for a product spiked unexpectedly last month: how would you investigate the root cause?

6. 06

   An A/B test shows a new feature increased conversion overall, but results vary significantly by region: how would you investigate further?

7. 07

   Design a preliminary-screening interview product for a recruitment firm

1. 01

   Write a query using joins and aggregation to compute a user engagement metric (e.g., visits or connections over a trailing period)

   Tests SQL joins and aggregation; computing an engagement metric over a trailing time window.

2. 02

   Explain the difference between filtering in an ON clause versus a WHERE clause in a join, and how it affects results

   Tests join semantics; ON-clause filters preserve unmatched outer rows, WHERE filters remove them.

3. 03

   Write a query to deduplicate records or find the most-recent/most-active record per user

   Tests window functions or group-wise-max patterns for latest-record-per-user queries.

4. 04

   Use window functions to rank users or events (e.g., rank users by activity within a time window)

   Tests window functions; RANK or ROW_NUMBER partitioned by user or time window.

5. 05

   Given login/session or job-application event data, write a query to test a specific hypothesis (e.g., whether job-switching frequency correlates with faster promotion to manager)

   Tests translating a hypothesis into SQL; joining event data and defining the comparison correctly.

6. 06

   Design a query to build a 360-degree view of a user's behavior across multiple events (e.g., payments and site visits)

   Tests multi-source joins and aggregation to assemble one user-level view across event types.

Reported problems, listed so you know what to expect. Practice them in your own editor or on the platform you prefer; SupaCV's practice mode coaches how you talk through them.

1. 01

   Tell me about yourself

2. 02

   Why do you want to work at LinkedIn?

3. 03

   Tell me about a time you disagreed with a teammate or manager and how you resolved it

4. 04

   Tell me about a time you led a project or initiative without formal authority

5. 05

   Tell me about a time you failed at something and what you learned from it

6. 06

   Describe a project you're most proud of and your specific contribution

7. 07

   Tell me about a time you had to adjust to a colleague's working style to get something done

8. 08

   (Craftsmanship round, senior/staff levels) Tell me about a time you fell short on code quality or engineering practice: what would you do differently, and what is your approach to code review and test coverage?