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Preptima
Also known as: FAANG, MAANG, Big Tech, product company, hyperscaler

Big Tech and product companies Interview Guide

Large product companies running a standardised, centrally calibrated loop: an algorithmic screen, one or two design rounds scaled to level, and a behavioural round scored against published principles.

How the loop is evaluated & calibrated

The defining feature is calibration rather than difficulty. Every interviewer works from the same rubric and writes evidence-based feedback, so the panel is trying to place you at a level rather than decide whether you can do the job. That means the coding round is genuinely algorithmic and time-boxed, the design round widens in scope as the level rises, and a strong answer with no stated trade-offs scores worse than a middling answer that names what it gave up.

Scored on top of a correct answer

  • Signal at a level: the same design question is scored on blast radius, so a staff candidate is expected to talk about organisational and migration cost, not just the architecture
  • Structured communication under time pressure, because the interviewer is writing down evidence and cannot credit what you did not say out loud
  • Behavioural answers that survive a follow-up on your specific contribution rather than the team's

Where candidates lose points

  • Optimising the algorithm and never stating the complexity or the constraint that made it necessary
  • Designing for a scale nobody asked about, which reads as pattern-matching rather than judgement
  • Behavioural stories with no measurable outcome and no disagreement in them

High-yield questions for Big Tech and product companies

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