Compensation is pretty competitive (in lieu of actual stock).
The codebase is getting a little better to work with from all the modularity work, but there's still so far to go.
Change management is terrible - lots of extreme changes happening in a short amount of time, with little collaboration with affected people.
There used to be a very empathetic culture, but leadership is very AI-minded now.
There's also a dramatic shift to a "high-performance" culture where L4 team lead is now the terminal level (L2 is entry-level), and there's a huge focus on PR count.
Initial recruiter phone call followed by a technical phone screen. The question was a simple data parsing to extract/aggregate JSON data. The interview was friendly and wrapped up with closing questions. I received a rejection email a week later, wit
I was surprised by how cumbersome this interview process was. It involved several rounds, on top of a take-home project. It's really rigorous for a company that isn't FAANG level. Honestly, a take-home and a discussion of it are enough technical si
Medium difficulty, or easier if you look up the Q&A's beforehand. One interviewer was late and had the nerve to mark off points for time. So, I did not get the job.
Initial recruiter phone call followed by a technical phone screen. The question was a simple data parsing to extract/aggregate JSON data. The interview was friendly and wrapped up with closing questions. I received a rejection email a week later, wit
I was surprised by how cumbersome this interview process was. It involved several rounds, on top of a take-home project. It's really rigorous for a company that isn't FAANG level. Honestly, a take-home and a discussion of it are enough technical si
Medium difficulty, or easier if you look up the Q&A's beforehand. One interviewer was late and had the nerve to mark off points for time. So, I did not get the job.