Recent changes to make the company top-down really threaten a culture where people felt they could make meaningful contributions. This can also mean that not all decisions are data-driven anymore.
The company has made changes which make it more difficult to switch teams and roles, specifically blocking these changes for a year at a time.
The promotion path is slower than it should be. Recent changes seem to be designed to slow it down, and I have seen good people turned down for promotion for questionable reasons.
The company leadership underfunded the bonus pool for 2019, providing very little incentive to push extra hard.
There is a big clash between the CEO pushing a top-down culture with an American work-life balance culture and a primarily bottom-up Dutch company.
The quality of your work experience can vary drastically from team to team. Some teams have recurring burnout problems and/or terrible managers, others have great work-life balance and/or really fantastic managers. Yet, the company does not have good resources in place to help fix these teams or at least get the employees into a healthier environment.
Enable your employees to work where they contribute the most. If this means changing teams, roles, or with greater scope via a promotion, you should try to make this process as frictionless as possible.
Use data to guide your decisions. If a core employee provides data showing an initiative is a bad idea, you should reconsider the initiative. If a core employee finds a better opportunity, you should reprioritize.
Pay for performance. Strong individual contributions should be recognized at bonus and promotion time.
I first had a standard recruiter call, then the technical one where we went through a case study discussion. We went over a typical scenario at booking. The interviewers were focusing a lot on A/B testing. They were not part of the team where I would
The process consists of 4 stages. The first is a LeetCode assessment where you're given an hour to solve a programming problem and answer some multiple-choice statistics and ML questions. If you pass that, you talk to a recruiter to discuss the pos
I had three interviews in total. The first two were technical, checking my ML abilities. The last one was more behavioral, with the Tech Lead and Product Manager. Overall, the experience was great. The interviewers were really nice, and we had a gre
I first had a standard recruiter call, then the technical one where we went through a case study discussion. We went over a typical scenario at booking. The interviewers were focusing a lot on A/B testing. They were not part of the team where I would
The process consists of 4 stages. The first is a LeetCode assessment where you're given an hour to solve a programming problem and answer some multiple-choice statistics and ML questions. If you pass that, you talk to a recruiter to discuss the pos
I had three interviews in total. The first two were technical, checking my ML abilities. The last one was more behavioral, with the Tech Lead and Product Manager. Overall, the experience was great. The interviewers were really nice, and we had a gre