I applied online. The process took 4 weeks. I interviewed at Amazon in Mar 2020
Interview
Il semble qu'il y ait un nombre excessif d'étapes et de tests dans le processus de sélection, lesquels ne parviennent pas toujours à capturer fidèlement les qualifications réelles et les compétences d'une personne. Ces procédures prolongées peuvent parfois décourager des candidats potentiellement excellents qui possèdent des qualités non mesurables par de tels tests. Cependant, il est important de noter qu'une fois le premier entretien réussi, les choses semblent s'accélérer considérablement. Le processus devient subitement bien plus fluide et rapide, offrant aux candidats une expérience beaucoup plus agréable et moins fastidieuse. Cela suggère qu'une fois le principal obstacle franchi, l'organisation est capable d'accélérer les choses et de faciliter la progression des candidats dans les étapes restantes.
I applied through an employee referral. I interviewed at Amazon (Luxembourg)
Interview
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
Interview questions [1]
Question 1
How did you manage a conflicting situation with a peer ?
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.
Application
I applied through a recruiter. I interviewed at Amazon (Seattle, WA) in May 2026
Interview
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
Interview questions [1]
Question 1
Describe the time when you suggested a counterintuitive approach to a dilemma and how you realized it necessitated a new mindset.
