J'ai postulé en personne. Le processus a pris 2 semaines. J'ai passé un entretien chez Opendoor (San Francisco, CA) en janv. 2019
Entretien
The onsite interview was pretty basic, two coding and two "design architecture" questions. funny thing was the first design question was not a design question at all, they had me confused with sending a "data engineer" to interview me, the guy literally asked a question which didn't have a software design aspect to it at all, every-time I was talking about scale or possible use cases of a mircro-service he would just stare at me or make an annoying noise. regardless in the end it turned out he's looking for some SQL syntaxes. basically I rambled on for a while talking about scalability, seems like scale is not an issue for this company given ~10000 major transactions/year. if you're coming from a FANG company with real scaling issues, you would know that this is just a joke. The interviewer was rude given his poor knowledge. please stay away from this waste of time.
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.
