• Above average compensation relative to its peers • On the cusp of IPO • Smart coworkers • Leader in the Data + AI space
SAs are asked to wear too many hats. Work-life balance is practically non-existent. Toxic culture between AEs and SAs.
Bright folks at all stages. The interview is not easy, but help is provided if you ask. 1. Call with recruiter. 2. Talk to the hiring manager. 3. Technical round. 4. Take-home test, covering Data Engineering/Science, ML, and SQL analytics. 5. Interv
Good experience with both the recruitment and hiring team. Progress was swift between rounds (recruiter, hiring manager, take-home assignment, technical interview, and panel interview), and everything was laid out very clearly. The process was thor
A protracted process lasting 2 months, with a total of 9 interviews. There was ambiguity regarding which department I was applying for, leading to several interviews with different hiring managers. After a verbal offer, I surprisingly received a re
Bright folks at all stages. The interview is not easy, but help is provided if you ask. 1. Call with recruiter. 2. Talk to the hiring manager. 3. Technical round. 4. Take-home test, covering Data Engineering/Science, ML, and SQL analytics. 5. Interv
Good experience with both the recruitment and hiring team. Progress was swift between rounds (recruiter, hiring manager, take-home assignment, technical interview, and panel interview), and everything was laid out very clearly. The process was thor
A protracted process lasting 2 months, with a total of 9 interviews. There was ambiguity regarding which department I was applying for, leading to several interviews with different hiring managers. After a verbal offer, I surprisingly received a re