Software Engineer applicants have rated the interview process at monday.com with 3.1 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 75% positive. To compare, the company-average is 62.9% positive. This is according to Glassdoor user ratings.
Candidates applying for Software Engineer roles take an average of 24 days to get hired, when considering 59 user submitted interviews for this role. To compare, the hiring process at monday.com overall takes an average of 22 days.
Common stages of the interview process at monday.com as a Software Engineer according to 59 Glassdoor interviews include:
Phone interview: 29%
Skills test: 25%
One on one interview: 24%
Personality test: 8%
Background check: 5%
Presentation: 4%
Other: 2%
Group panel interview: 2%
IQ intelligence test: 1%
Here are the most commonly searched roles for interview reports -
Phone interview with recruiter. Discussed salary expectations which did not meet applied position so no further interviews. Good that they were honest about the discerpancy of the salary. Otherwise a nice interview with a pleasant recruiter.
I applied online. I interviewed at monday.com (Tel Aviv-Yafo) in Jun 2026
Interview
At first there was a phone call from recruiter
Then a coding interview
Then an end to end interview, minimal coding more explaining
The third interview, is a system design. I felt like I gave good answers, but it was hard for me to read the interviewer and know what he exactly wanted, so i didn’t pass
They called after each step to give feedback which was helpful
Interview questions [1]
Question 1
Questions all revolving around Money board and item platform
Highly recommend opening a free account to get to know it
Overall basic interview with general questions to determine fit. Then there was a techncial take home project that asked you to be familiar with monday code hosted apps. The project was pretty contained and reasonable. I would say it was very open-ended and you could develop an app any way you wanted but they were looking for good app-quality decision making skills for full-stack contexts.