J'ai postulé en ligne. Le processus a pris 2 semaines. J'ai passé un entretien chez Amazon (Los Angeles, CA) en nov. 2022
Entretien
They asked me four times throughout the interview process what my salary expectations were, and I was clear and honest with numbers, the same answer each time. They then had me attend over 5 hours of interviews (in fact, it was around 7 hours total). At the end, they offered me the job at a MUCH lower salary than the range I specified. And then they would not allow me to negotiate at all. I don't really understand why they couldn't have told me this from the beginning. The rate I was asking for was perfectly reasonable considering the position and my experience, and the rate they offered was way lower than my current salary was. I feel that wasn't very respectful of my time.
Questions d'entretien [1]
Question 1
They asked which Amazon principle I identified with.
J'ai postulé via la recommandation d'un employé. J'ai passé un entretien chez Amazon (Luxembourg)
Entretien
Good interview, reached the marathon loop of interviews. It was intense and quite focused on STAR stories obviously. Got some nice feedbacks as well to improve in case I managed to get another interview in a few months
Questions d'entretien [1]
Question 1
How did you manage a conflicting situation with a peer ?
J'ai postulé via un recruteur. J'ai passé un entretien chez Amazon (Seattle, WA) en mai 2026
Entretien
a quick recruiter call and a 45-min phone screen with a PM that was surprisingly heavy on behavioral questions and metrics. also had to submit a 2-page writing sample (kind of like a mini PR/FAQ) before moving forward. the onsite was a 5 round loop: product strategy, execution, analytical, technical, and the notorious bar raiser round. the bar raiser is the absolute filter imo - they pick one project and drill incredibly deep to see if you actually owned the results or just coasted along. every single round is heavily anchored to their leadership principles (LPs). overall, it felt very intense and data-driven; it’s way less about brainstorming flashy features and more about how you ruthlessly prioritize, handle blockers, and dive deep into metrics. for prep, i focused on mapping my past projects to multiple LPs and practicing data teardowns. i did a mock on Prepfully w amazon PM specifically for the bar raiser round and that honestly saved me. it helped me catch a major blind spot -was staying way too high-level with my impact instead of clearly explaining the exact data points, technical constraints, and tradeoffs i owned end to end
Questions d'entretien [1]
Question 1
Describe the time when you suggested a counterintuitive approach to a dilemma and how you realized it necessitated a new mindset.
Straight forward and simple getting to know each other questions. None of the questions were anything I haven’t been asked before or difficult to answer. The interviewer was nice and polite.
