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Adobe interview notes, page 4 of 6

Large Enterprises

Most of these Adobe write-ups come from Software Engineers (30), then Machine Learning Engineers (15) and Product Managers (8). The most reported rounds are the technical phone screen (32), the system design round (8), the product sense round (7) and the multi-round onsite (4).

58 interview notes · updated Sep 2026

Adobe·Software Engineer·Technical Phone Screen

May 2026
Adobe SWE interview that went deep into array manipulation and duplicate detection. The follow-up on bounded values is where things got interesting and a little uncomfortable.
  • Given an unsorted integer array, find all duplicate numbers. Walk through the trade-offs between different approaches.
  • If all values are bounded between 1 and 200, what additional approaches open up? Compare bitmask, counting array, and in-place index marking.

“I jumped straight to hash-set because that's the reflex answer and it is fine, O(n) time, O(n) space.”

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Adobe·Product Manager·Onsite - Product Sense / Strategy

May 2026
PM interview at Adobe, one question about go-to-market strategy for Creative Cloud targeting small businesses in Singapore. Pretty focused case, no behavioral fluff around it from what I remember.
  • How would you approach targeting small businesses in Singapore with Adobe Creative Cloud?

“I went straight into segmenting SMBs by industry (retail, F&B, creative agencies) and talked about pricing sensitivity in that market.”

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Adobe·Software Engineer·Technical Phone Screen

May 2026
Adobe SWE interview that leaned pretty heavily on array manipulation. The core problem wasn't brutal but the follow-ups kept coming and I had to think on my feet about tradeoffs I hadn't fully rehearsed.
  • Given two sorted integer arrays, find all common elements between them. Walk through your approach, including how you'd handle duplicates and what the time complexity looks like compared to using a hash set.
  • Follow-up: if one of the two arrays is significantly shorter than the other, how would you change your approach?

“I went straight to two pointers and it clicked pretty well.”

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Adobe·Machine Learning Engineer·Technical Phone Screen

Jun 2026
Adobe ML engineer interview that leaned hard into transformer architecture fundamentals. The questions were focused and technical, no fluff, just a deep dive into how attention mechanisms actually work under the hood.
  • What is the difference between encoder and decoder transformers, and what are they each used for?
  • How does bidirectional attention differ from causal masked attention, and why does each approach exist?
  • How does cross-attention work in an encoder-decoder architecture?
  • Why don't encoder-only models need a KV cache during inference?

“Felt okay about this one.”

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Adobe·Software Engineer·Hiring Manager Screen

Jun 2026
Interviewed for a bizops role at Adobe, pretty standard behavioral screen with at least one culture-fit type question.
  • What does your ideal work environment look like?

“Blanked for a second because it sounds easy but you can accidentally say something that doesn't fit the company vibe.”

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Adobe·Software Engineer·Onsite - Multi Round

Jun 2026
Went through a full loop interview for an Applied Researcher role at Adobe, which included presenting my own work and proposing improvements to their existing research. After all that, the recruiter took my presentation materials and then went completely silent. No feedback, no rejection, nothing. Would strongly advise skipping this team.
  • Present your past research work and propose approaches to improve the team's existing work.

“This is the one that still bothers me.”

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Adobe·Data Scientist·Technical Phone Screen

Jun 2026
Adobe DS interview centered on a metrics design problem for Adobe Express. Pretty open-ended, which I wasn't fully prepared for. The whole thing felt more like a product strategy conversation than a data science one.
  • Design a metrics framework for Adobe Express that senior leadership can use to evaluate product performance. Define a north-star metric, supporting input metrics, and counter metrics, and explain your reasoning for each.

“I went straight for DAU as the north-star and they pushed back pretty quickly, asking whether that actually captures value or just traffic.”

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Adobe·Software Engineer·Hiring Manager Screen

Jun 2026
Adobe hiring manager phone screen for a software engineer role, about 30 minutes, no coding involved. Pretty structured: they talk about the team, you walk through your background for most of the call, then they dig into your projects with follow-up questions.
  • Walk me through your background and the projects you're most proud of, including what you specifically did and what impact it had.
  • Follow-up questions on the specific projects you described, going deeper on technical decisions and your individual contributions.

“This is basically the whole call.”

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Adobe·Product Manager·Onsite - Product Sense / Strategy

Jun 2026
Adobe PM interview, got hit with a classic product design question but framed around Gmail's three-year trajectory. One question, pretty open-ended, and I felt underprepared for how far out they wanted me to think.
  • You are the PM for Gmail. Build out a three-year product roadmap.

“I froze a bit at first because three years is a long horizon and I kept second-guessing whether to anchor on near-term improvements or swing for bigger bets.”

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Adobe·Software Engineer·Onsite - System Design / Architecture

Jun 2026
Adobe system design round focused entirely on a multi-modal embedding pipeline. One big open-ended question, lots of rabbit holes, and I left unsure if I covered enough ground on the retrieval side.
  • Design a system that generates embeddings for user-uploaded documents, images, and videos (each under a size limit) and stores them in a database. Walk through ingestion, preprocessing, model selection, scalability, storage schema, and retrieval.

“I started with ingestion and spent way too long there.”

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