Great benefits, including equity.
Manage a fantastic group of inspired Field Engineers.
The company has a great vision around Lakehouse and ML platform.
Great tech, cloud/data engineering/ML, and ongoing improvements for the developer features on Databricks.
There are plenty of opportunities to work on a variety of customer problems and technical issues. The surface area of our technical offering is too wide.
Continue keeping the hiring bar high and our cultural values in place as we grow the company.
I applied online. The process took 2 weeks. * 2 technical interviews * 1 algorithmic interview * 1 coding interview Both 1 hour long. Coderpad interview, questions explanations aren't very detailed so the interviewer explains the question to you. I
I sent my CV through the open roles portal for a Software Engineer (Backend) role. A Sourcer reached out to schedule a 30-minute recruiter call. The call was to describe the role and give me the opportunity to discuss my background (ML PhD, somewhat
A few weeks after submitting my CV, the recruiter called me. He was nice and accommodating. I think the only negative aspect was the tech screening. The interviewer seemed unenthusiastic, with his facial and audio expressions suggesting he wasn't eng
I applied online. The process took 2 weeks. * 2 technical interviews * 1 algorithmic interview * 1 coding interview Both 1 hour long. Coderpad interview, questions explanations aren't very detailed so the interviewer explains the question to you. I
I sent my CV through the open roles portal for a Software Engineer (Backend) role. A Sourcer reached out to schedule a 30-minute recruiter call. The call was to describe the role and give me the opportunity to discuss my background (ML PhD, somewhat
A few weeks after submitting my CV, the recruiter called me. He was nice and accommodating. I think the only negative aspect was the tech screening. The interviewer seemed unenthusiastic, with his facial and audio expressions suggesting he wasn't eng