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

• Two Sum and its common variantsTests hash-map lookup for pair sums; the O(n) one-pass insight beats the brute-force nested loop.
• Move all zeroes in an array to the end while preserving the relative order of non-zero elementsTests in-place array partitioning with a two-pointer write index while preserving relative order.
• Detect a cycle in a linked list and find the start of the loopTests Floyd's tortoise-and-hare; the second phase for finding the cycle start is the differentiator.
• Find the median of a stream of integers (two-heap / priority-queue approach)Tests the two-heap technique: balance a max-heap and min-heap for O(log n) inserts and O(1) median reads.
• Validate whether a binary tree is a valid Binary Search TreeTests recursion with min/max bounds propagation; the common trap is checking only immediate children.
• Check for valid/balanced parentheses using a stackTests stack-based matching of open and close brackets with edge cases like empty input or a leftover stack.
• Find the Lowest Common Ancestor (LCA) of two nodes in a binary treeTests recursive tree traversal; the insight is returning the split point where the two targets diverge.
• Print all palindromic substrings of a given stringTests expand-around-center enumeration over 2n-1 centers, or dynamic programming as an alternative.

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.

• Design an LRU cache (and follow-ups extending it to a thread-safe cache supporting both LRU and LFU eviction)Tests hash map plus doubly linked list for O(1) operations, with follow-ups on locking and LFU eviction.
• Design a URL-shortening service (e.g., bit.ly-style)System design staple: ID generation, collision avoidance, redirect latency, and read-heavy scaling.
• Design a rate limiter that works correctly in a distributed systemSystem design: token bucket or sliding window, plus keeping counters consistent across distributed nodes.
• Design an elevator/lift management system that minimizes wait time across multiple liftsLow-level design: scheduling strategy to minimize wait time, state modeling per lift, and request dispatching.
• Design a read-write lock that allows multiple simultaneous readers but only one writerConcurrency design: reader counting, writer exclusion, and avoiding writer starvation.
• Solve the producer-consumer problem using semaphores/mutexes, and explain mutex vs. semaphoreConcurrency classic: bounded-buffer coordination with semaphores, plus a crisp mutex versus semaphore distinction.
• Design a generic (templated) object-oriented stack or similar data structure in C++/JavaTests generics/templates and OO encapsulation while implementing a clean container API in C++ or Java.

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.

• Explain the necessary conditions for deadlock and how to prevent itOS fundamentals: the four Coffman conditions and prevention via lock ordering or resource preemption.
• Explain virtual memory and pagingOS fundamentals: address translation, page tables, page faults, and why paging enables process isolation.
• Difference between a process and a threadOS fundamentals: separate address spaces versus shared memory, and the context-switch cost difference.
• Database normalization, indexing, and ACID propertiesDatabase fundamentals: normal forms, when indexes help or hurt writes, and what each ACID property guarantees.
• TCP vs. UDP, and a basic walkthrough of the OSI/TCP-IP layersNetworking fundamentals: reliability and ordering tradeoffs, plus mapping protocols onto the layer model.
• OOP fundamentals: polymorphism, encapsulation, abstract class vs. interface (commonly framed around Java or C++, both cited across multiple prep sources as languages Adobe frequently tests in; no single language is clearly documented as 'most common' across all Adobe engineering teams)OOP knowledge check: polymorphism, encapsulation, and abstract class versus interface, usually in Java or C++.

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.

• Tell me about a time you went above and beyond for a customer
• Describe a time you had to deliver a project under a tight deadline: how did you manage it
• Tell me about a disagreement with a teammate and how you resolved it
• Tell me about a time you identified a problem no one else had noticed and took ownership of the solution
• Describe a time you took initiative to improve a process or solve a problem without being asked
• (Senior/leadership candidates) How would you deliver a project with 3 people in 3 months when the original estimate was 9 people over 9 months? (Confirmed as an actual reported Adobe interview question.)
• What do you think are Adobe's biggest bets or biggest threats this year, and how would you contribute?

• What is your favorite Adobe product, and what feature would you add? Walk me through your process
• Tell me about a time you had to make a difficult trade-off in a product decision
• What is the biggest threat to Adobe this year?
• How would you prioritize a roadmap when engineering capacity is limited
• Given a large dataset of user engagement/usage data, how would you determine whether a recent feature launch succeeded?
• How would you size the market for a new AI-driven feature (e.g., in the Firefly/Creative Cloud family)?

Adobe's process has 6 stages, in order: Application / Talent Partner outreach, Recruiter / Talent Partner screen, Hiring Manager screen, Online assessment (role- and pipeline-dependent), Virtual onsite / final loop, HR / offer stage.

Adobe evaluates candidates against Adobe core values (not a formal named interview rubric like Amazon's Leadership Principles): Create the Future, Own the Outcome, Raise the Bar, Be Genuine.

Adobe's question bank spans 5 categories: Data structures & algorithms (coding rounds); System design & object-oriented / low-level design; CS fundamentals (verbal and/or multiple-choice); Behavioral / values-based; Product management (for PM-track candidates).

This playbook is high confidence, compiled from 24 public sources, and last verified July 7, 2026. It describes one well-documented shape of Adobe's interviews, not a guarantee of what any individual loop will look like.