interviewquestions.
All companies198

Big tech

Amazon4 rounds · $110.5k-$160kApple4 rounds · $145kGoogle6 rounds · $118k-$170kMeta6 rounds · $137kMicrosoft5 rounds · $84.2k-$165.2k

US and global tech

Netflix6 rounds · $100k-$300kUber5 rounds · $150k-$158kAirbnb6 rounds · $128k-$142kStripe7 rounds · $122.1k-$134.4kSalesforce3 rounds · $110k-$153kAdobe3 rounds · $76.7k-$152.2kLinkedIn6 rounds · $154kIntuit4 rounds · $55.5-$75/hrCisco4 rounds · $92.1k-$136kAtlassian3 rounds · $122.4k-$159.8kSpotify6 rounds · $125.6k-$179.4kTwitter4 rounds · $127k-$297kOpenAI5 rounds · $230k-$490kPalantir5 rounds · $145k-$155kTesla5 rounds · $140k-$300kTikTok5 rounds · $128k-$256kDatabricks6 rounds · $137.8k-$155kSnowflake5 rounds · $42-$60/hrDatadog6 rounds · $100k-$110kCloudflare6 rounds · $150k-$216kCoinbase6 rounds · $60/hrDoorDash6 rounds · $107.4k-$158kRoblox6 rounds · $153kEpic Systems5 rounds · $110k

Wall Street, banks and payments

Goldman Sachs4 rounds · $110k-$115kJP Morgan4 rounds · $95k-$125kMorgan Stanley3 rounds · $70k-$110kBank of America4 rounds · $94.2kCiti5 rounds · $80k-$115kWells Fargo5 rounds · $48.08/hrCapital One5 rounds · $140kBlackRock4 rounds · $105k-$125kBloomberg5 rounds · $158kD. E. Shaw4 rounds · $25kAmerican Express3 rounds · $78k-$124.8kMastercard2 rounds · $72k-$115kVisa4 rounds · $108k-$120kPayPal4 rounds · $116.5k-$173.3kDeutsche Bank4 rounds · $100kBarclays3 rounds · $110kHSBC5 rounds · ₹6-10 LPAArcesium4 rounds · $10kCitadel5 rounds · $200k-$250kJane Street4 rounds · $300kHudson River Trading5 rounds · $300kSusquehanna (SIG)5 rounds · $300kFidelity Investments4 rounds · $92kPNC5 rounds · $39.1k-$126.5k

Consulting and Big 4

McKinsey4 rounds · $120kBCG4 rounds · $110kBain4 rounds · $120kDeloitte3 rounds · $75k-$78kEY3 rounds · $75k-$100kKPMG3 rounds · $78k-$90kPwC3 rounds · $61k-$100kAccenture5 rounds · ₹4.5-6.5 LPAIBM3 rounds · $121k-$181.4kZS Associates5 rounds · $90k-$102k

Enterprise and cloud

Oracle3 rounds · $61.2k-$141.2kServiceNow4 rounds · $130k-$136kDell3 rounds · $101.7k-$131.7kVMware5 rounds · ₹18-30 LPASAP5 rounds · ₹18-28 LPAAkamai5 rounds · $114.3k-$136.3kADP4 rounds · ₹6-11 LPAOptum4 rounds · $58.8k-$105k

Semiconductors and hardware

NVIDIA3 rounds · $100k-$166.75kIntel3 rounds · $105.7k-$149.2kQualcomm3 rounds · $122.8k-$184.2kTexas Instruments3 rounds · $100k-$137.5kCadence3 rounds · $74.2k-$137.8kSynopsys5 rounds · $92.6kMathWorks4 rounds · $100k-$130kSamsung3 rounds · ₹14-28 LPAAMD5 rounds · $119k-$170k

Retail and industrial

Walmart4 rounds · $80k-$155kTarget4 rounds · $34/hrHoneywell4 rounds · $68k-$115kSiemens4 rounds · $32.69-$58.84/hrBosch3 rounds · ₹6-9 LPAABB5 rounds · $80k

Aerospace and defense

Boeing6 rounds · $82k-$89kLockheed Martin5 rounds · $91kNorthrop Grumman4 rounds · $62.3k-$114.4kRaytheon4 rounds · $68.9k-$144.2kSpaceX5 rounds · $125k-$145k

Telecom, media and consumer brands

Verizon5 rounds · $16-$21/hrT-Mobile5 rounds · $19.5/hrAT&T5 rounds · $21.43-$24.95/hrDisney5 roundsProcter & Gamble5 rounds · $85k-$122.2kJohnson & Johnson5 rounds · $23.5-$52.5/hrNike5 rounds · $17/hrKaiser Permanente5 rounds · $38.15-$40.14/hr

Stores, restaurants and airlines

Starbucks4 rounds · $15.25-$24.69/hrChick-fil-A5 rounds · $15-$18/hrChipotle4 rounds · $20-$21/hrMcDonald's4 rounds · $15.5-$19.89/hrCostco5 rounds · $20-$32.9/hrHome Depot5 rounds · $18.5-$21.5/hrLowe's5 rounds · $15.92-$16.15/hrCVS Health6 rounds · $16.5-$25/hrWalgreens5 rounds · $19.5-$23/hrBest Buy4 rounds · $16.9-$21.45/hrNordstrom4 rounds · $17.7-$21.9/hrFedEx4 rounds · $17.75-$18.25/hrAmerican Airlines5 rounds · $37.91/hrUnited Airlines5 rounds · $37.1/hrSouthwest Airlines5 rounds · $32.62/hr

India: product companies and startups

Flipkart5 rounds · ₹22-28 LPAPaytm4 rounds · ₹16-22 LPASwiggy4 rounds · ₹16-22 LPAZoho6 rounds · ₹5-7 LPAZomato4 rounds · ₹18-25 LPAMeesho4 rounds · ₹25-35 LPANykaa4 rounds · ₹10-18 LPAOLA4 rounds · ₹16-22 LPACRED5 rounds · ₹18-25 LPAGroww5 rounds · ₹15-28 LPAPhonePe5 rounds · ₹18-25 LPARazorpay4 rounds · ₹18-25 LPAZerodha4 rounds · ₹12-25 LPADream114 rounds · ₹15-30 LPABrowserStack5 rounds · ₹15-28 LPAFreshworks4 rounds · ₹20-28 LPABlinkit5 rounds · ₹18-25 LPADunzo5 rounds · ₹12-18 LPALicious4 rounds · ₹12-18 LPAUrban Company4 rounds · ₹18-25 LPABigBasket4 rounds · ₹6-10 LPABYJU'S4 rounds · ₹4-8 LPADelhivery4 rounds · ₹10-20 LPAUnacademy5 rounds · ₹12-18 LPAJuspay5 rounds

India: IT services and analytics

TCS4 rounds · ₹3.4-3.6 LPAInfosys3 rounds · ₹3.6-4.5 LPAWipro3 rounds · ₹4-4.5 LPAHCL3 rounds · ₹4-4.5 LPATech Mahindra6 rounds · ₹3.5-4.5 LPACognizant4 rounds · ₹4-4.5 LPACapgemini4 roundsThoughtworks4 rounds · ₹10-18 LPAAmdocs4 rounds · ₹5-7 LPACGI5 rounds · ₹4.5-7 LPACoforge4 rounds · ₹4.5-7 LPADXC Technology4 rounds · ₹4-4.5 LPAEPAM6 rounds · ₹8-14 LPAGenpact4 rounds · ₹3-4.5 LPAGlobalLogic4 rounds · ₹5-9 LPAGlobant3 rounds · ₹7-12 LPAHexaware6 rounds · ₹4 LPALTTS3 rounds · ₹4-4.5 LPAMindtree3 rounds · ₹4.0-4.5 LPAmPhasis5 rounds · ₹4-5 LPANagarro4 rounds · ₹6-10 LPANTT Data4 rounds · ₹4-5.5 LPAPersistent Systems4 rounds · ₹5-8 LPAPublicis Sapient3 rounds · ₹8-12 LPAVirtusa4 rounds · ₹4-5.5 LPAZensar4 rounds · ₹4-6.5 LPABirlasoft4 rounds · ₹4-6.5 LPAEXL6 rounds · ₹5-9 LPAFractal Analytics5 rounds · ₹8-14 LPAMuSigma6 rounds · ₹6-9 LPATiger Analytics4 rounds · ₹8-14 LPAWNS6 rounds · ₹5.6 LeClerx6 rounds · ₹2.8-3.1 L

India: banks, conglomerates and PSUs

SBI6 rounds · ₹21.97 LHDFC Bank4 rounds · ₹4-6 LPAICICI Bank4 rounds · ₹6-8 LPAAxis Bank3 rounds · ₹5-10 LPABank of Baroda4 rounds · ₹4-8 LPACanara Bank5 rounds · ₹4-8 LPABajaj Finserv4 rounds · ₹8-12 LPAAirtel5 rounds · ₹6-12 LPAJio5 rounds · ₹6-14 LPAL&T4 rounds · ₹8-15 LPAReliance3 rounds · ₹7.5 LPAAdani4 rounds · ₹8-15 LPABHEL4 rounds · ₹6-10 LPAMahindra3 rounds · ₹8-14 LPAMaruti Suzuki4 rounds · ₹7-12 LPATata Motors4 rounds · ₹7-13 LPAISRO3 rounds · ₹8-12 LPADRDO6 rounds · ₹8-12 LPABARC3 rounds · ₹74,000/moBEL5 rounds · ₹10-14 LPANTPC4 rounds · ₹7.2-12 LPABPCL4 rounds · ₹12-16 LPAHPCL5 rounds · ₹17.7-18.1 LIOCL5 rounds · ₹12-17 LPAONGC4 rounds · ₹20-26 LPAcdac4 rounds · ₹6-12 LPA

Adobe

US and global tech · San Jose, California · Updated Oct 31, 2026

Adobe behavioral interview questions for the hiring manager round

Adobe asks most behavioral questions in the hiring manager conversation, often a 30-minute call before or after the coding round, and it tests project ownership, the reasoning behind your design choices and fit with the team. The questions candidates report most are “Where do you see yourself in five years?”, “Tell me about a project you owned end to end,” “Tell me about a time data changed your mind” and, for senior engineers, the biggest challenge in your current work.

What Adobe behavioral panels are scoring

Adobe behavioral guides emphasize customer empathy, craft, data-informed mind changes, and cross-functional alignment. Technical excellence alone is not enough.

Adobe behavioral questions from 2025 US reports

These come from candidate reports on Taro for San Jose roles:

  • “Where do you see yourself in the next 5 years?” (SDE, February 2025, in a 30-minute call with the hiring manager, who reached out about two months after the application)
  • “What is the biggest challenge in my work?” and your view on code tools such as Cursor (senior software engineer, March 2025, 50-minute hiring manager call on fit)
  • Your previous research and projects, then a fit check on Adobe’s culture and values (software engineer, August 2025, accepted offer)
  • Past work, alongside API design and code reading (software development engineer, October 2025, two hours in person)

The pattern: the hiring manager asks about your actual work and judgment, and the call often decides whether you reach the coding rounds at all.

Common Adobe behavioral and Hiring Manager questions

Adobe’s Hiring Manager screen behaves like behavioral round one - ownership and trade-off stories you tell there should match what you say in later behavioral conversations.

1. Tell me about yourself

Framework: Present → Past → Future (60-90 seconds). Anchor on one product surface (Creative Cloud, Document Cloud, or Experience Cloud).

Sample answer: “I’m a senior in computer science at [University]. I build mostly in C++ and Python; my capstone was a document pipeline where I indexed PDF pages and cut preview latency with caching, which maps to Document Cloud problems more than a generic CRUD app. Last summer I interned on a backend team and learned to reason about API contracts under load. I applied for the University Graduate Software Engineer role because I want to work on performance and reliability at user scale, and Acrobat is the product I’d most like to work on.”

2. Why Adobe?

Sample answer: “Three reasons. First, Adobe products are daily tools for hundreds of millions of users, so engineering decisions show up as latency, crashes, or trust - that scale motivates me. Second, I am interested in Document Cloud / PDF technology specifically because my project dealt with parsing and rendering trade-offs; I want to learn from teams that maintain standards-grade document stacks. Third, Adobe’s public culture shift to Check-in conversations instead of annual stack ranking tells me feedback is ongoing - I prefer coaching loops where I can improve mid-project, not once a year.”

3. Walk me through a design decision in your project you’d change today

Sample answer: “Context: My capstone stored uploaded files on local disk with synchronous virus scanning. Constraint at the time: Two-week deadline and no budget for cloud storage. Choice: Single-server filesystem plus blocking scan - simple, but uploads stalled under concurrent users. Today: I would push uploads to object storage, queue scans asynchronously, and return a job ID - same pattern Adobe uses for heavy media pipelines. Lesson: I optimize for demo speed too early; now I prototype the failure mode (concurrency) before UI polish. That is the judgment I would bring to an Adobe feature team.”

4. Tell me about a time you had to defend a technical choice to someone senior

STAR sample: “Situation: Intern mentor wanted to add a NoSQL store for a reporting dashboard. Pushback: I believed PostgreSQL with proper indexing covered our volume. Action: I ran EXPLAIN on the hot queries, built a small index prototype, and showed p95 latency under our SLA with one composite index - no new infra. Result: We shipped on Postgres; mentor appreciated the data. I learned to defend choices with measurements, not taste - the same bar Adobe interviewers use when they ask ‘why this data structure?’”

5. How do you handle disagreements in a team?

STAR sample: “Situation: Hackathon dispute - designer wanted animations that dropped frame rate on low-end Android. Task: Ship in 24 hours without blanking the UI. Action: I profiled on a mid-tier device, proposed reduced motion mode plus lazy-loaded assets, and paired with design on a lighter transition. Result: Demo ran at 60 fps on test hardware; we split credit for the compromise. I still start cross-functional work with shared performance budgets.”

6. Strengths and weaknesses

Sample answer (strength): “Explaining trade-offs while coding - in Adobe OA follow-ups I narrated why a doubly linked list pairs with a hash map for LRU; interviewers stopped me less when I talked before typing.”

Sample answer (weakness): “I used to practice problems untimed and ran short of time in my first online assessment. I now do two timed mediums in 45 minutes, then ten fundamentals flashcards (paging, indexing, HTTP/TLS), because Adobe’s live rounds leave little slack.”

7. Where do you see yourself in five years?

Sample answer: “In five years I want to be a strong SDE-2-level contributor - owning a service or client component, mentoring interns, and shipping measurable improvements (latency, crash rate, or conversion). Adobe’s breadth across Creative, Document, and Experience Cloud means I can deepen in one stack while learning adjacent systems; I am not optimizing for people-manager track on day one.”

8. Are you willing to relocate, and when can you start?

Adobe’s 2026 University Graduate posting is in-office, lists seven US locations with San Jose as headquarters, and sets separate pay tiers for California, New York, Washington and Massachusetts, so name the offices you would accept.

Sample answer: “Yes. San Jose is my first choice, but I am open to Seattle or New York depending on the team. I graduate in May, can start in [month], and I will need [no / future] visa sponsorship.”

9. What do you know about Adobe?

Sample answer: “Beyond Photoshop: Adobe reports three segments - Creative Cloud, Document Cloud, and Experience Cloud - each with its own engineering orgs. US hiring loops commonly include a HackerRank test of LeetCode mediums, a live coding round, and a hiring manager conversation on project ownership. Public values language candidates cite includes owning the outcome and creating the future - shipping, fixing, and proposing improvements, not waiting for perfect specs. Since 2012 Adobe replaced annual reviews with Check-in feedback; that matches how I like to grow.”

10. Do you have any questions for us?

Strong questions:

  • “How does this team run Check-ins - cadence, and what does good feedback look like?”
  • “What would successful impact in the first six months look like for a new grad engineer on this product?”
  • “How much of this team’s work is shared with engineers in Noida or Bangalore, and what are core hours?”
  • “Which tech stack would I touch first - services language, client, or infra?”

Avoid opening with stock/bonus negotiation before understanding the team.

11. Tell me about a project you owned end to end (values round)

Sample answer: “Situation: Course registration bot crashed during peak add-drop. Ownership: I was only ‘script maintainer’ but users tagged me. Action: Added structured logging, reproduced the race on waitlists, fixed with a DB transaction and retry cap, wrote a one-page postmortem for the club. Result: Zero duplicate enrollments next semester; faculty asked to reuse the pattern. That is how I interpret Adobe’s own the outcome - fix the user pain even when the bug was not ‘officially’ mine.”

12. Describe a time user feedback changed your approach

Sample answer: “Beta testers said our image preview was ‘blurry’ though PSNR looked fine. I interviewed five users and learned they meant slow progressive load, not compression artifacts. I switched to thumbnail-first rendering plus lazy full resolution - complaints dropped. I now treat qualitative feedback as a signal to instrument, not an argument to win.”

Real examples to prepare before Adobe’s behavioral and Hiring Manager round

Story type Prompt Why Adobe asks this
Ownership A design decision you’d change today, and why Tests judgment, not just the outcome
Technical conviction Defended a technical choice to someone senior Tests whether you can hold a position with evidence
Teamwork A disagreement resolved constructively Tests collaboration under real friction
Impact A measurable project result Tests whether you can show outcomes, not just effort
Growth Feedback that changed how you worked Maps to Adobe’s continuous “Check-in” culture

13. Tell me about a time data changed your mind

Prompt: “Tell me about a time you used data to change your mind or someone else’s.” Sample STAR: “Situation: Our campus app team wanted infinite image quality on a gallery feature. Task: Decide compression settings before demo day. Action: I measured load time on 3G and bounce on a 20-user pilot; p95 load was 6.2s. I proposed WebP + lazy load with a quality cap. Result: p95 dropped to ~2.1s and the pilot completion rate rose; we kept the decision in the README.”

Red flags to avoid

  • Generic praise for Adobe (“great company,” “love your products”) with no specific detail
  • Describing a project decision with no reasoning for why you made it
  • No view on the tools you use day to day; a 2025 San Jose hiring manager asked a senior candidate about AI code tools such as Cursor
  • Treating the hiring manager call as a formality; in several 2025 US reports it came before any coding round

Adobe India: MTS behavioral and HR round

India MTS loops put these questions in a Director or Hiring Manager round and then a short HR close on location, shifts and the offer. Candidate-reported fresher SDE/MTS pay in India spans a wide band (about ₹20-45 LPA); confirm it on the offer letter.

Are you willing to relocate to Noida/Bangalore, or work shifts?

Sample answer: “Yes - I am applying knowing Adobe’s largest India engineering centers are Noida and Bangalore. I am flexible on location based on team match. I understand product releases sometimes need on-call or late syncs with US peers; I am willing and would plan sleep and commute honestly. If HR needs a preferred city for staffing, I will state it clearly now.”

Tell me about yourself (India campus version): “I am a final-year CSE student with 8.3 CGPA, active in competitive programming, and no backlogs. My capstone was a document pipeline where I indexed PDF pages and cut preview latency with caching. I am here for an MTS role in Noida or Bangalore where I can work on performance and reliability at user scale.”

Sources

US behavioral prompts come from 2025 candidate reports on Taro: San Jose SDE, February 2025, San Jose senior engineer, March 2025, San Jose software engineer, August 2025 and software development engineer, October 2025. The in-office locations and pay tiers are from Adobe’s 2026 University Graduate - Software Engineer posting.

Similar companies

Google · Microsoft · Apple · Zoho · Freshworks · Salesforce

Popular

↑↓ navigate↵ open