Ho presentato la mia candidatura online. La procedura ha richiesto 2 settimane. Ho sostenuto un colloquio presso Puffy (Los Angeles, CA) nel mese di ott 2025
Colloquio
Interview process had graph-based questions focusing on DFS/BFS. First interview was about connected components. Second interview covered another graph problem. Third interview had questions that needed sets and maps to solve efficiently. The interviewers were helpful when I got stuck and seemed genuinely interested in my thought process.
Domande di colloquio [2]
Domanda 1
They asked for a short introduction about myself and my background.
Ho presentato la mia candidatura online. Ho sostenuto un colloquio presso Puffy (Los Angeles, CA) nel mese di mag 2026
Colloquio
Three rounds covering a good range. First was behavioral — a relaxed conversation about previous experience and the team. Second was technical, focused on a system design question around scalability and optimization. Third round went deeper on behavioral, with rapid-fire scenario-based questions that tested how you think on your feet. Each round had a distinct purpose which made the overall process feel intentional and well-organized. The people were sharp and easy to talk to throughout.
Domande di colloquio [1]
Domanda 1
Walk me through a project you worked on in a previous role — what was your contribution and what did you learn from it?
Ho presentato la mia candidatura online. Ho sostenuto un colloquio presso Puffy (Los Angeles, CA) nel mese di dic 2025
Colloquio
Two rounds. First was a casual 30-minute conversation with the team lead — two easy verbal coding questions followed by a general discussion about the team and the work. Very relaxed. Second round was a technical session focused on designing a React component within given constraints — open internet and LLMs allowed, which made it feel practical and realistic. The whole process felt thoughtful and team-specific rather than generic. Great experience overall.
Domande di colloquio [1]
Domanda 1
Build a React component to accomplish a specific task within defined constraints.