J'ai postulé via un recruteur. Le processus a pris 1 semaine. J'ai passé un entretien chez Opendoor (San Francisco, CA) en oct. 2018
Entretien
TPS.
Solved the problem in probably 20-25 mins. Rest of the time was spent "optimizing" the solution to cater really smart, rude and naive interviewer.
Instead of focusing on how to improve space complexity or algorithm itself, I think they are focusing on how good artsy data structure(s) you can come up with. (Interviewer hints to use a hashmap of lambda functions is easier to use over plain simple pattern matching).
This is is termed as "collaborative" engineering culture I guess. Be aware!
J'ai passé un entretien chez Opendoor (Seattle, WA)
Entretien
Failed at HR call. Profile might not be that much match, they are looking for backend leaning role but I did more front end works instead. HR might not look up my resume carefully.
J'ai postulé en personne. J'ai passé un entretien chez Opendoor (Seattle, WA) en oct. 2025
Entretien
Very easy and straightforward very nice people enjoyed the conversation that we had a lot and benefitted a lot from it so I would thank them for that
Overall the interview is structured and chill and straightforward with a pretty laid back vibe
J'ai postulé via un établissement d'enseignement supérieur ou universitaire. J'ai passé un entretien chez Opendoor
Entretien
There was a phone screen which was followed by an onsite interview with 4-5 interviews, some technical, others behavioral. It was interesting that they included some ML-based questions in the SWE interview. Afterward, I heard back pretty quickly.
Questions d'entretien [1]
Question 1
Design a search service that will return all of the names that start with a given string that is optimized for speed.
