Comment by _pythonlover_

A result of their performance-review driven development. Every engineer, product manager and team is focused on one thing only. Get through the reviews. That means building feature after feature, projecting revenue/cost savings that may not materialize.

No one is focused on quality of the feature. It is all about speed. No one stops and thinks that may be users doesn't care about it. Data science teams are focused on cherry-picking data in a way that shows positive impact to show to the leadership that things are working. Engineers and teams are disincentivized to improve existing features, performance issues(unless it impacts revenue/some enterprise customer complains) and sometimes being punished for it. They are also steadily downsizing their support teams to cut costs.

Things are not going to improve. You should move away.