Working with very professional and talented people. Focused on customer value and successful outcomes. Strong brand, execution, and vision for Data and ML. Progressive platform. Healthy approach to working hard and getting appropriate breaks. Good visibility of execs helps maintain direction.
An incredibly high number of inbounds from customers and partners makes task prioritization a real challenge.
There are quite a few rounds of interviews. These include meeting managers, colleagues, and stakeholders, as well as demos and presentations to a panel. Technical assessments are similar to daily tasks and interactions with customers.
Extremely unprofessional interviewer who worked on his own stuff the entire interview and deliberately didn't reveal the second part of the question. Attitude is bad and impatient. If you don't want to interview, just don't accept the interview. I'd
The first part was the Technical Screen without OA. It was a standard graph problem, maybe like a Leetcode Medium. It was an hour total, and I had about 10 minutes at the end to ask my interviewers some questions.
There are quite a few rounds of interviews. These include meeting managers, colleagues, and stakeholders, as well as demos and presentations to a panel. Technical assessments are similar to daily tasks and interactions with customers.
Extremely unprofessional interviewer who worked on his own stuff the entire interview and deliberately didn't reveal the second part of the question. Attitude is bad and impatient. If you don't want to interview, just don't accept the interview. I'd
The first part was the Technical Screen without OA. It was a standard graph problem, maybe like a Leetcode Medium. It was an hour total, and I had about 10 minutes at the end to ask my interviewers some questions.