Amazon

A Senior PM from Amazon Retail asks you to design a product. But at Amazon, you don't start with the feature. You start with the customer. "Who is the customer? What is their pain? Write me the press release headline." If your first instinct is to talk about the business opportunity instead of the customer problem, you'll get redirected. This is Customer Obsession, Think Big, and Invent & Simplify tested through one deep product case.

A Principal Data Scientist from Amazon Ads asks you to define success for a product that just launched. Amazon separates input metrics (what you control daily) from output metrics (what results). If you only list outputs like revenue and DAU, you'll get pushed hard. Then a behavioral question where you need exact numbers, baselines, and isolation methodology. "We improved engagement" won't fly here.

A Director from AWS gives you a product scenario where your engineering lead, your VP, and you all disagree on the right approach. This round tests three LPs at once: Have Backbone (push back with data), Disagree and Commit (execute fully if overruled), and Earn Trust (respect technical expertise while advocating for speed). Then a behavioral question where vague trust-building answers like "I communicated better" get challenged immediately.

The Bar Raiser. A Senior Principal from Amazon Devices who has never seen your resume and holds veto power over your offer. They pick your most important career decision and drill 5 layers deep. "What alternatives did you consider? Why did you reject them? What data would have changed your mind? Looking back, were you right? What would you tell a junior PM in the same situation?" If your story falls apart at layer 3, they'll know.