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How These Guides Are Organized

AI Labs and AI Infrastructure

Anthropic

OpenAI

xAI

Google DeepMind

Perplexity

Scale AI

Cursor (Anysphere)

Databricks

Mistral AI

Cohere

Hugging Face

ElevenLabs

Groq

Big Tech

Apple

Microsoft

Netflix

Nvidia

Tesla

Adobe

LinkedIn

Oracle

Consumer, Marketplace, and Commerce

Uber

Airbnb

DoorDash

Spotify

Shopify

TikTok and ByteDance

Reddit

Duolingo

Roblox

Discord

Walmart Global Tech

Fintech and Quantitative Finance

Stripe

PayPal

Robinhood

Ramp

Citadel

Jane Street

Two Sigma

Bloomberg

Capital One

Intuit

Developer Tools and Enterprise Software

GitHub

Atlassian

ServiceNow

Salesforce

Snowflake

Cloudflare

Figma

Notion

Canva

Vercel

Wiz

Workday

Rippling

Defense and Frontier Tech

Anduril

Palantir

SpaceX

Waymo

What These 60 Loops Have in Common (and Where They Diverge)

FAQ

Tech Company Interview Guides: How 40+ Top Companies Actually Interview

Image
Arslan Ahmad
Round-by-round interview guides for 40+ top tech companies: AI labs, big tech, fintech, quant firms, dev tools, and defense tech. What each company's loop looks like, what they screen for, and how to prepare, with links to detailed guides for every stage.
Image

How These Guides Are Organized

AI Labs and AI Infrastructure

Anthropic

OpenAI

xAI

Google DeepMind

Perplexity

Scale AI

Cursor (Anysphere)

Databricks

Mistral AI

Cohere

Hugging Face

ElevenLabs

Groq

Big Tech

Apple

Microsoft

Netflix

Nvidia

Tesla

Adobe

LinkedIn

Oracle

Consumer, Marketplace, and Commerce

Uber

Airbnb

DoorDash

Spotify

Shopify

TikTok and ByteDance

Reddit

Duolingo

Roblox

Discord

Walmart Global Tech

Fintech and Quantitative Finance

Stripe

PayPal

Robinhood

Ramp

Citadel

Jane Street

Two Sigma

Bloomberg

Capital One

Intuit

Developer Tools and Enterprise Software

GitHub

Atlassian

ServiceNow

Salesforce

Snowflake

Cloudflare

Figma

Notion

Canva

Vercel

Wiz

Workday

Rippling

Defense and Frontier Tech

Anduril

Palantir

SpaceX

Waymo

What These 60 Loops Have in Common (and Where They Diverge)

FAQ

Most candidates prepare for "the tech interview" as if it were one thing. It is not. At Airbnb, a values interviewer from outside your team can veto an offer regardless of technical performance. At Cursor, the deciding round is a paid eight-hour project in the company's real codebase, with AI tools encouraged. At Shopify, the signature interview is a chronological walk through your entire life. At Databricks, the round that eliminates prepared candidates is live multi-threaded programming. Jane Street will talk you out of using OCaml; Anthropic will tell you exactly when you may and may not use Claude; Ramp hides a puzzle in the job application itself.

Interviews differ more by company than by role, and preparing for the specific company you face is the highest-leverage work you can do after fundamentals. This guide collects our detailed, research-backed interview guides for 60 top technology companies, organized by sector, with what makes each loop distinctive and links to the full round-by-round breakdowns.

How These Guides Are Organized

For each company, we cover up to four dimensions of the interview:

  • The interview process, round by round: every stage from recruiter screen to offer, with formats, timelines, and the rounds unique to that company.
  • Behavioral interview questions: what the company actually screens for culturally, the questions candidates report, and worked sample answers in that company's register.
  • The system design interview: the reported prompts, what interviewers probe, and a walkthrough of a signature design problem.
  • How to answer "Why do you want to work here?": what interviewers listen for in the motivation question, with a full sample answer and the mistakes that sink candidates.

Use them together: read the process guide first to map your loop, then prepare each round with its dedicated guide.

AI Labs and AI Infrastructure

The frontier AI companies run the most distinctive interviews in tech, from mission screening to work-sample projects, and their policies on using AI during interviews now vary wildly: know your company's rules before you walk in.

Anthropic

Anthropic's loop pairs practical, implementation-heavy coding with an explicit values interview that sinks more strong engineers than any technical round. Its official AI policy is widely misreported: you may refine your application with Claude, but live interviews and most take-homes are AI-free.

OpenAI

OpenAI publishes its own grading bar (well-designed solutions, high-quality code, performance, test coverage) and may run system design twice in one loop. Product-flavored design prompts expect full-stack answers: wireframes, API contracts, and schemas, not just backend boxes.

xAI

xAI moves from first call to offer in two to three weeks, requires a "Statement of Exceptional Work" at application, and ends many loops with a presentation of a project you owned. There is no dedicated behavioral round; ownership and autonomy are probed inside technical conversations.

Google DeepMind

DeepMind is really three loops: Google-style for software engineers, ML-depth with paper presentations for research engineers, and research discussions for scientists. Interviews are strictly AI-tool-free, and the hiring committee alone can take three to four weeks.

Perplexity

Perplexity averages about 23 days from application to offer and ends with a founder interview. Every system design question orbits AI search: RAG, retrieval, crawling freshness, and the cost-latency-quality triangle.

Scale AI

Scale's loop includes a signature debugging round in an unfamiliar multi-file codebase against the clock, and its recruiters openly screen for comfort with a high-intensity culture. Post-Meta-deal, the "why Scale, why now" question is a genuine filter.

Cursor (Anysphere)

Cursor's decision round is unlike anything else in tech: a paid, roughly eight-hour project inside Cursor's actual codebase, with AI tools explicitly encouraged, followed by a review where you defend every line. Using AI badly is the fastest reported way to fail.

Databricks

Databricks runs one of the hardest engineering loops in the industry, headlined by a concurrency round (live multi-threaded programming) with a reputation for eliminating FAANG-prepared candidates. Its behavioral round maps one to one onto six published values.

Mistral AI

Europe's frontier lab runs one of AI's fastest loops (about two weeks) with two unusual rounds: a structured LLM quiz with expected answers on transformer internals and KV caching, and a review round correcting a deliberately messy pull request. Some coding rounds ask you to implement multi-headed attention from scratch.

Cohere

The enterprise-first lab tests production ML code (write tests, run your solutions: recited LeetCode answers get flagged) and, unusually among AI labs, runs a genuine dedicated behavioral round. System design centers on multi-tenant model serving: cost-per-query, GPU scheduling, and tenant isolation.

Hugging Face

The open-source ML company hires like an open-source project: no LeetCode, two to three conversations plus a take-home built on real problems the company is working on, presented and defended afterward. Your public GitHub and Hub activity function as a standing portfolio, and the cover letter genuinely matters.

ElevenLabs

The AI-audio company wants "founders who happen to be looking for a job": its behavioral round is a deep dive into projects you led or created, and its signature product decomposition round has you design the user experience and the system together for a voice-product use case.

Groq

The inference-chip company runs a holistic loop featuring an hour-long personality interview, sometimes with a VP, and officially advises candidates to skip the LeetCode grind and show their GitHub and real work instead. Design conversations run on serving open models fast atop deterministic, compiler-scheduled silicon.

AI sector at a glance:

CompanyTypical timelineSignature roundScreens hardest for
Anthropic3-8 weeksValues/culture interviewMission alignment, honesty
OpenAI4-8 weeksDouble system designPractical code quality
xAI2-3 weeksExceptional-work presentationOwnership, autonomy
Google DeepMind6-10 weeksPaper presentation (research)Unaided depth, rigor
Perplexity~23 daysFounder interviewCuriosity, speed
Scale AI~3 weeksUnfamiliar-codebase debuggingIntensity, urgency
CursorFastPaid 8-hour codebase projectAI-assisted judgment
Databricks4-7 weeksConcurrency roundRaw technical bar
Mistral AI~2 weeksLLM quiz with expected answersAutonomy, precision
Cohere4-6 weeksDedicated behavioral roundProduction ML, collaboration
Hugging Face2-4 weeksReal-problem take-homeOpen-source citizenship
ElevenLabs3-5 weeksProduct decomposition roundFounder instincts
GroqA few weeksPersonality interviewBuilder evidence, curiosity

Big Tech

The established giants run the most structured loops, and each has a cultural rubric worth knowing by name: Microsoft scores growth mindset, Netflix applies the keeper test, Nvidia screens for resilience to blunt criticism.

Apple

Apple's process is decentralized: each team designs its own loop, and behavioral evaluation is woven through every round rather than isolated. The consistent bar: craft, low ego, comfort with secrecy, and a real opinion about an Apple product.

Microsoft

Microsoft interviewers are trained to score behavioral answers against growth mindset and named competencies, including inclusion as an explicit dimension. Use STAR, then add what you learned: their rubric rewards the learning step specifically.

Netflix

Netflix is the one company where the culture interview can override strong technical performance: roughly half the evaluation is alignment with the published Culture Memo, and the keeper test sits behind every round. Study the memo like a syllabus, because it is one.

Nvidia

Nvidia hires by team, and interviews flow almost entirely from that team's actual work, with post-onsite waits of five-plus weeks commonly reported. The behavioral screen is shaped by a famously blunt culture: how you receive hard, public criticism is the centerpiece probe.

Tesla

Tesla schedules the hiring manager conversation before any technical screen, grills fundamentals from first principles, and increasingly asks finalists for an "Evidence of Excellence" write-up of their best work. Expect a bar comparable to Google at a much faster tempo.

Adobe

Adobe's assessment mixes coding with CS-fundamentals multiple choice (where unprepared candidates bleed points), and its design rounds span three altitudes: product architecture, object-oriented design, and database judgment. Behavioral evaluation runs on two lenses: own the outcome, create the future.

LinkedIn

LinkedIn grades communication and tradeoff narration as explicitly as code, and its design prompts are product-centric graph problems: feed, notifications, People You May Know. The members-first value generates its most distinctive behavioral probe: user trust versus growth metrics.

Oracle

Oracle is several companies in one (OCI, database, applications), and loops differ accordingly; timelines run four to eight weeks, and the distinctive Bartender round brings an outside-team interviewer to calibrate the bar, like Amazon's Bar Raiser.

Big tech at a glance:

CompanyTypical timelineSignature elementScreens hardest for
AppleVaries by teamBehavioral woven through all roundsCraft, low ego
Microsoft3-6 weeksGrowth-mindset scoringLearning from failure
Netflix3-5 weeksCulture deep-dive (can veto)Candor, judgment
Nvidia4-8 weeks + slow tailTeam-specific domain deep-diveCriticism resilience
Tesla~1 monthEvidence of Excellence write-upFirst-principles thinking
Adobe3-6 weeksFundamentals MCQs + 3-altitude designOwnership with numbers
LinkedIn~3-4 weeksCommunication-graded roundsMembers-first judgment
Oracle4-8 weeksBartender calibration roundDependability

Consumer, Marketplace, and Commerce

Consumer companies interview through their product realities: marketplace tradeoffs at Uber and DoorDash, values-as-veto at Airbnb, a biography instead of a behavioral round at Shopify.

Uber

Uber runs a dedicated bar-raiser-style behavioral round scored against its published values, and its most distinctive question shape is the marketplace tradeoff: two groups with opposite interests, and your reasoning between them.

Airbnb

Airbnb's core values interviews are conducted by trained interviewers from outside your team and can decide the outcome regardless of technical performance; personal-life examples are explicitly welcome. Prepare them as seriously as any coding round.

DoorDash

DoorDash's loop features the practical CodeCraft round (build a working slice of logistics, like a Dasher-pay calculator), and its culture institutionalizes operator mindset: every employee, engineers included, does deliveries a few times a year.

Spotify

Spotify runs a case-study round most candidates never rehearse: triage a realistic production incident live, from metrics to stakeholder communication. Its values interview kept real decision weight through the company's restructuring years.

Shopify

Shopify's signature is the Life Story interview: a 60-minute chronological walk through your life, designed to defeat rehearsed answers and measure the slope of your trajectory. Pair programming often welcomes your own IDE and AI tools, if you can defend every line.

TikTok and ByteDance

ByteDance's loops are algorithm-heavy and its behavioral rounds are scored against the six ByteStyle values, with failure-at-speed stories as the native material. For TikTok specifically, the motivation question rewards engagement with the recommendation engine, honest pace appetite, and one calm sentence about the geopolitics.

Reddit

Reddit's motivation question has a built-in authenticity check ("which communities are you active in?"), and candidates with a genuine history on the platform, moderators especially, hold an advantage nothing else replicates.

Duolingo

Duolingo runs two engineers in every technical round (one interviewing, one shadowing) and evaluates real engineering sense and product thinking over hard LeetCode, through an onsite of pair programming, code review, and a coffee chat that is not a break. Python is the standardized house language, and genuine product usage (a real streak) pays off in every round.

Roblox

Roblox's online assessment is the most unusual in big tech: about two hours combining coding, proprietary game-based challenges, and a built-in 25-minute behavioral section, with a Bar Raiser round closing the loop. Everything calibrates against its precisely stated value hierarchy: community before company, company before team, team before individual.

Discord

Discord's signature round asks you to build a working service from scratch, and the most-reported prompt is concrete: a telnet-compatible TCP chat server handling concurrent clients. The full-day panel includes named Values and Attitude sessions, and product sense for gamers and communities is explicitly noticed.

Walmart Global Tech

The world's largest company runs a structured loop: a HackerRank assessment mixing Python and SQL, technical rounds split between low-level and high-level design, and a conversational hiring-manager close where STAR-format answers are expected. Design rounds run retail's signature problems: omnichannel inventory truth and Black Friday burst engineering.

Consumer and marketplace at a glance:

CompanySignature elementScreens hardest for
UberBar-raiser behavioral roundMarketplace tradeoff reasoning
AirbnbCore values interview (can veto)Mission and hosting behavior
DoorDashCodeCraft round, WeDash cultureOwnership, operator mindset
SpotifyProduction-incident case studyAutonomy with alignment
ShopifyLife Story interviewAgency, trajectory slope
TikTok/ByteDanceByteStyle-scored behavioralPace, candor
RedditCommunity authenticity checkGenuine product connection
DuolingoTwo engineers in every roundLearners-first product sense
RobloxGame-based OA + Bar RaiserCommunity-first values
DiscordBuild-a-service round (TCP chat server)Ownership, product sense
Walmart Global TechSplit LLD/HLD + STAR disciplineScale delivery, customer service

Fintech and Quantitative Finance

Money changes the interview: idempotency, reconciliation, and incident ownership are assumed vocabulary, and the elite quant firms could not be more different from one another.

Stripe

Stripe's loop simulates real work: an integration round with a real repo, API docs, and full internet access; a debugging round in unfamiliar code; and a rare dedicated API design round. Behavioral interviewers are calibrated to filter polished-but-vague answers fast.

PayPal

PayPal's assessment includes Java/OOP fundamentals that algorithms-only candidates miss, and its loop leans on communication and reasoning over LeetCode difficulty, with fintech-grade correctness themes throughout.

Robinhood

Robinhood's proctored assessment, finance-flavored coding (order books, ledgers), and Safety First design lens reflect a company rebuilt around reliability; its favorite behavioral question is how you disagreed with leadership, professionally.

Ramp

Ramp hides a small CTF puzzle in the application, runs a four-level progressive coding assessment where early architecture determines late survival, and averages eleven days to offer. It hires "tiny CEOs" and asks for your controversial opinions, plural.

Citadel

Citadel's HackerRank assessment fails suboptimal solutions on hidden tests, its onsite pushes from correct toward optimal toward the constant factors, and its design rounds run on microsecond budgets: order books, feed handlers, and mechanical sympathy.

Jane Street

Jane Street's onsite is three to four 70-minute paired rounds extending one evolving problem, and the folklore is wrong twice: SWE candidates need neither OCaml nor probability drills. Honesty is structural: they ask you to disclose if you have seen a problem before.

Two Sigma

The scientist's quant fund runs a hard assessment (all hidden tests must pass), phone screens with rapid-fire CS fundamentals, and its signature design-and-implementation round: you architect a small system and then build it as working code within the session. Precise, calibrated communication is graded throughout.

Bloomberg

Bloomberg's loop is famous for two things: the tagged practice-question pool genuinely reflects its interviews, and candidates who solve everything perfectly still get rejected on weak "why Bloomberg" answers: genuine interest is offer-deciding. The system design round (real-time market data, conflation, entitlements) is consistently reported as the hardest.

Capital One

Capital One's Power Day includes the round no other major tech employer gives software engineers: a case interview, where you reason through a business scenario (like a credit card's breakeven math) aloud to a recommendation. Behavioral answers run STAR-format against defined competencies, ideally with results converted into business units.

Intuit

Intuit's loop is anchored by the Craft Demonstration: you receive a GitHub repository 24 to 48 hours in advance, then implement user stories live before a panel, with clean code and unit testing explicitly graded. As of 2026, interviews also probe how you integrate AI responsibly when models touch customers' money.

Fintech and quant at a glance:

CompanyTypical timelineSignature roundScreens hardest for
Stripe4-8 weeksIntegration round (real repo + docs)Evidence-dense honesty
PayPalA few weeksPair programming + project deep diveAccountability
Robinhood4-6 weeksDomain LLD (order book, ledger)Safety-first judgment
Ramp~11 days4-level progressive assessmentUnprompted ownership
Citadel4-8 weeksOptimal-or-fail assessmentAlgorithmic ceiling
Jane StreetA few weeks70-minute paired evolving problemCollaboration, honesty
Two Sigma4-6 weeksDesign-and-implementation roundRigor, precise communication
Bloomberg3-7 weeksReal-time financial system designGenuine interest (offer-deciding)
Capital OneA few weeksCase interview on Power DayBusiness-fluent engineering
Intuit4-6 weeksCraft DemonstrationCustomer obsession, craft

Developer Tools and Enterprise Software

The companies that build for developers and enterprises interview through work samples more than whiteboards: take-homes, pairing, code review, and multi-day craft challenges.

GitHub

GitHub's loop is built from realistic work: a take-home graded on tests, docs, and commit hygiene, a pairing exercise, and a code review round, with recruiters reading your public GitHub profile before you say a word.

Atlassian

Atlassian publishes official guides for every craft round and runs one of tech's most decisive values interviews, mapped to five named values; candidates regularly clear every technical bar and fail there.

ServiceNow

ServiceNow's assessment mixes coding with CS-fundamentals multiple choice, and its design round tests territory almost nobody practices: multi-tenant enterprise platforms, workflow engines, and upgrade safety.

Salesforce

Salesforce spreads behavioral evaluation across every final-round interview rather than one culture round, scored against values with Trust explicitly first; prepare a story bank, not a single performance.

Snowflake

Snowflake's coding problems hide data-systems twists (inputs that exceed memory, streams with duplicates), and its behavioral questions turn technical mid-answer: every ownership story needs its central tradeoff prepared at whiteboard depth.

Cloudflare

Cloudflare's culture round has a name (the Orange Cloud round), a strict 30 minutes, and values that include "No Bullshit": interviewers explicitly flag canned answers, so short, honest, specific answers win.

Figma

Figma expects real product usage (thin usage hurts across the loop), runs a numbers-expected project deep dive, and tilts system design toward real-time multiplayer infrastructure: WebSockets, presence, and state recovery.

Notion

Notion's coding rounds feature live debugging and narrated optimization, its design rounds genuinely reach CRDTs and flexible data models, and the loop closes with a leadership conversation on values and long-term vision.

Canva

Canva's centerpiece is the Craft Challenge: a multi-day take-home project with a defense review, treated as the main evaluation. Its values round runs against five named values, with Make Complex Things Simple the most probed.

Vercel

Vercel designs its interviews to feel like real work: shared editors instead of whiteboards, Google explicitly encouraged, a proctored 90-minute assessment, and rounds drawn from a practical menu including app building, code review, and architecture review. A strong public GitHub can get the async assessment waived entirely.

Wiz

Now part of Google Cloud after the largest cybersecurity acquisition ever (closed March 2026), Wiz retains its startup tempo: a playbook-paced loop with an intense final panel, and hiring managers who actively coach candidates between rounds: take that coaching literally. Design rounds run its distinctive domain: agentless cloud scanning and the Security Graph.

Workday

Workday's interviewers score behavioral answers against six published values on literal scorecards, with Employees first in stated order, and candidates who treat "Fun" as a throwaway line reportedly fail regardless of technical performance. The loop adds a dedicated VIBE inclusion interview, an object-oriented-design emphasis, and an executive close.

Rippling

Rippling's signature is a 90-minute round in two parts: build something, then critique what you built: honest self-assessment is graded as a first-class skill. Its AI policy is the industry's most unusual: tools are optional and open, but the evaluation rubric changes with your choice, and the openly intense culture is screened as informed consent from the first call.

Dev tools and enterprise at a glance:

CompanySignature roundScreens hardest for
GitHubTake-home + pairing + code reviewAsync collaboration
AtlassianValues interview (five named values)Values alignment
ServiceNowMulti-tenant platform designEnterprise thinking
SalesforceBehavioral sampling in every roundTrust
SnowflakeData-twist codingTechnical depth, ownership
CloudflareOrange Cloud culture roundCuriosity, candor
FigmaProject deep dive with numbersDesign-engineering collaboration
NotionCRDT-aware design roundCraft, product fluency
CanvaMulti-day Craft ChallengeSimplicity as a skill
VercelReal-work rounds, Google allowedCraft, DX conviction
WizIntense panel, HM coachingPace, customer obsession
WorkdayValues scorecards + VIBE roundValues fit, warmth
RipplingBuild-then-retrospect roundOwnership, self-assessment

Defense and Frontier Tech

The defense and hard-tech companies add dimensions nothing else has: at Anduril and SpaceX, mission conviction is screened in every round and ambivalence is a detectable, disqualifying trait; at Waymo, the same seriousness attaches to safety mindset and self-awareness.

Anduril

Anduril screens for genuine motivation to build defense technology from the first recruiter call, asks pointed product questions ("what is your least favorite Anduril product?"), and runs deliberately ambiguous technical prompts where requirements-extraction is graded. Most roles require US person status.

Palantir

Palantir's onsite is assembled from a distinctive round menu: Decomposition (turn a vague real-world problem into buildable structure), Learning (apply an unfamiliar tool immediately), and Re-engineering (work with existing code), with culture filtered aggressively from the first call.

SpaceX

SpaceX runs one of the industry's most demanding loops (five to eight rounds), anchored by a panel presentation: one to two weeks to prepare a talk on your most significant work, delivered to five to ten engineers followed by adversarial Q&A. Most roles require US citizenship or permanent residency under ITAR.

Waymo

Waymo's behavioral round has the most distinctive centerpiece in tech: you present a complex past project and are expected to critique your own architectural decisions without being prompted: self-awareness is the graded trait. Coding arrives framed in autonomous-vehicle contexts, and design rounds span on-vehicle systems and the simulation platform behind billions of tested miles.

Defense and frontier tech at a glance:

CompanySignature elementScreens hardest for
AndurilMission screening in every roundDefense conviction
PalantirDecomposition roundStructure from ambiguity
SpaceXPanel presentation with adversarial Q&AExtreme ownership
WaymoUnprompted self-critique of your own workSafety mindset, self-awareness

What These 60 Loops Have in Common (and Where They Diverge)

Researching these companies side by side surfaces patterns worth knowing before you prepare for any of them:

  1. Practical coding is displacing puzzle coding. Stripe, GitHub, Canva, Shopify, Ramp, Jane Street, xAI, DoorDash, Vercel, Discord, Intuit, ElevenLabs, and Hugging Face all evaluate through realistic work: take-homes, pairing, debugging, code review, and build-a-feature rounds. Pure LeetCode preparation now covers a shrinking fraction of the market; pattern fluency still matters everywhere, but shipping clean, tested code under narration matters more. Grokking the Coding Interview builds the pattern base that transfers across all of these formats.
  2. Behavioral rubrics are increasingly published. Netflix's memo, Atlassian's and Canva's named values, ByteDance's ByteStyle, Databricks' principles, Amazon-style calibration rounds at Oracle and Uber: more companies than ever tell you exactly what they score. The preparation is mechanical once you know that: map evidence-dense stories to the named values. Grokking Modern Behavioral Interview covers the method.
  3. System design is diverging by domain. Fintech rounds assume idempotency and reconciliation; consumer rounds assume feed fan-out and caching; AI companies assume RAG and GPU economics; enterprise companies assume multi-tenancy and upgrade safety. The core method transfers (Grokking the System Design Interview, with Grokking System Design Fundamentals for the building blocks and Advanced System Design Interview, Volume II for depth), but the last mile is company-specific, which is what the guides above are for.
  4. AI-use policies now define interviews. The spread is remarkable: DeepMind and Anthropic run AI-free rounds; Shopify and DoorDash allow tools with verification; Cursor requires skilled AI use and fails candidates who paste without judgment; and Rippling makes tools optional but grades you against a different rubric depending on your choice. Always confirm your company's policy, and if AI is allowed, practice the verify-everything workflow beforehand. For AI-fluency itself, Grokking Modern AI Fundamentals covers the vocabulary that now threads through interviews everywhere.
  5. Timelines range from 11 days to 10 weeks. Ramp, xAI, Mistral, and Perplexity move in days-to-weeks; DeepMind, Oracle, Roblox, and Nvidia stretch toward two months or beyond. Sequence your pipeline deliberately: start slow processes first, and expect the fast companies to force decisions.

FAQ

How long does a tech company interview process take? Anywhere from 11 days (Ramp) to 10 weeks (Google DeepMind), with 3 to 6 weeks the industry median. Committee-based companies (Google, DeepMind, Oracle) and team-matching-heavy ones (Nvidia) run longest; founder-led startups (Perplexity, xAI, Cursor) run fastest.

Do all companies ask system design questions? Almost all do for mid-level and senior roles, but the format varies: classic architecture rounds (most big tech), domain-specific design (Citadel's order books, Perplexity's RAG pipelines), decomposition of vague problems (Palantir), or design questions embedded inside coding rounds (Jane Street, Ramp).

How different are behavioral interviews really? Substantially. Netflix's culture round can veto a technically perfect performance, Airbnb's values interviews are run by trained outside interviewers, xAI has no behavioral round at all, and Shopify replaces the whole genre with a life-story conversation. Read the company-specific guide before recycling your standard stories.

Should I use AI tools during interviews? Only where explicitly permitted, and skillfully where required. Policies now range from strict bans (DeepMind, Anthropic's live rounds) to active encouragement with accountability (Cursor, Shopify). Using AI where banned ends candidacies; using it clumsily where encouraged does too.


We update this guide as we publish new company guides.For the fundamentals that transfer across every loop, start with Grokking the Coding Interview and Grokking the System Design Interview.

System Design Interview
Coding Interview
Behavioral Interview
FAANG

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