Ho presentato la mia candidatura tramite un selezionatore. La procedura ha richiesto più di una settimana. Ho sostenuto un colloquio presso Twilio (Remote) nel mese di ott 2022
Colloquio
High bar similar to FAANG- Had 4 rounds of interviews that involved peer coding, design, and culture fit. Fair & Friendly- Interviewers asked nothing out of the ordinary. A bit of lag with the software being used but got through it. They weren't too quick nor too slow to provide tips when stuck. They were up front with the amount of time each question will take and were more interested in thought process & communication than getting the perfect answer. Had a solid recruiter who provided quick turn around for scheduling
Domande di colloquio [1]
Domanda 1
Signed an NDA so I can't share specific questions, but they provide you with things that are recommended to study before interviewing
Ho presentato la mia candidatura online. Ho sostenuto un colloquio presso Twilio
Colloquio
Three-stage process: recruiter screening, a test task and on-site interview. Both test task and the on-site were simple and straightforward, with focus on practical skills. On-site included the prospective team lead, VP and a team lead from another team in the same location.
Domande di colloquio [1]
Domanda 1
- What data structure would you use for variable-length phone number prefixes?
Ho presentato la mia candidatura online. Ho sostenuto un colloquio presso Twilio nel mese di gen 2025
Colloquio
Interviewed for the L2 role on the Channels team. I did the online assessment (~3 hours), passed it, then was notified saying they filled the role and were no longer considering me. No referral to another role either. Long story short, don't let this awful company waste your time.
2 algo problems (listed below), 1 easy SQL problem, 1 easy API data retrieval problem, and 2 trivial multiple choice problems.
Domande di colloquio [2]
Domanda 1
Similar to LC1664 - Ways to Make a Fair Array except you don't need to count the number of ways to make it fair, you just have to find the 1 index to remove to make it fair.
If you google Hackerrank Approximate Matching you can find some material on it. Involves calculating a text score for substrings of a word based on a given prefix and suffix.