FAANG Interview Prep
FAANG interviews are a different beast: 5-6 rounds, 45-minute coding under pressure, system design whiteboarding, and Amazon's infamousLeadership Principles gauntlet. We've analyzed the publicly documented loops of each company to build prep that mirrors what you'll face at Google, Meta, and the rest.
Interview Rounds
Company-Specific Focus
Coding, Googleyness, System Design
Amazon
Leadership Principles, Bar Raiser
Meta
Coding, System Design, Values
Apple
Technical Deep Dive, Collaboration
Netflix
Culture Fit, Senior-Level Focus
Microsoft
Coding, System Design, Growth Mindset
Join FAANG
Start Prep — FreeHow practising a FAANG-style loop with VirtualInterview.ai works
Name the company at setup and the AI interviewer researches its publicly described interview process before generating the round, so an Amazon round leans on Leadership Principles and a Google round on structured problem-solving and collaboration. Run each round type separately — behavioural, technical discussion, system design, the resume deep-dive — and re-answer the questions that scored lowest. Timed coding in an editor is the one round this does not cover; drill that in a problem bank and rehearse explaining it here.
What a session looks like
- Set up the round: role, seniority, focus area and format (general, technical, behavioral, recruiter screen, system design, managerial, case study, technical assessment, leadership, panel, salary negotiation, final / executive), the company if there is one, and the question language (50+ languages).
- Answer by voice or text. The interviewer asks 5 questions on the free plan (up to 20 on Pro) and follows up on what you actually said.
- Read the report: every answer scored for relevance, depth, clarity with what the score is based on, then a retry plan for the weakest answers.
The interviewer asks
“Amazon, Leadership Principles round: tell me about a time you disagreed with a decision and committed to it anyway.”
A strong answer
A strong answer picks a real disagreement with stakes, states the position you argued and the data behind it, names the moment you committed and what committing looked like in your behaviour, and ends with the outcome and what you learned about when to escalate. The interviewer will follow up with "what would have changed your mind?" — have that ready.
What the report says
Relevance high: disagreement, commitment and outcome are all present. Depth: the retry plan asks for the specific data you brought to the disagreement — "I raised concerns" scores lower than the numbers you raised. Clarity high: situation, action, result in order.
Questions people ask
No, and no honest tool does. Naming the company shapes the round after its publicly described process and values; the questions are generated for your role and level and the follow-ups come from your own answers.
Behavioural (including Amazon's Leadership Principles), technical discussion, system design, resume deep-dive and panel formats. Timed coding in an editor is not included — pair with a problem bank.
Most candidates over-invest in problems and under-invest in the rounds that decide level: behavioural and system design. A common split two weeks out is problems most days, then three full rounds here in the final week, re-answering whatever scored lowest.
2 interviews a month on the free plan, no card. A loop-length preparation usually needs more; Pro is $20/month and one-time credit packs start at $9.
Yes — pick the question language at setup from 50+ languages. Useful for offices that interview in the local language.
Free plan: 2 interviews a month, no card. Pro $20/month or $200/year; one-time credit packs from $9. See pricing. It does not feed you answers during a real interview.
Keep reading
- Amazon Leadership PrinciplesAmazon interviews are built around the Leadership Principles; here is how each one is tested and answered.
- Technical interview practicePractise talking through problems out loud — the part of technical rounds that solving in silence never trains.
- Case interview practiceMcKinsey, BCG and Bain style cases, the frameworks behind them, and real-time feedback as you work through one.