Currently experiencing the exact same thing. Roughly 15 machine learning engineers through hiring and acquisitions and all of them have no product or management power. Everyone with any management or product power has zero ML/Data Science experience. I spend half my day explaining to managers what ML is.
The comment above is a little bit of a stretch (I'm not sure I'd equate working more to toxic masculinity exactly), but this isn't about being a man: the CTO may have been female, that in itself wouldn't invalidate the comment.
Masculinity in this context is about gendered behaviours (behaviours traditionally expected of men). Toxic masculinity is any such behaviours that have a negative impact on the subject, those around them, or society. Women can also contribute to toxic masculinity.
In fact, within certain corporate cultures, where promotions have traditionally been awarded to men, it may benefit women's careers to adopt such toxic behaviours.
Very interesting! How did you come to your pricing model? To me (not intended audience), it seems really expensive for a 1-time report. Is this due to market analysis or fixed costs or is it kind of a shot in the dark?
You've probably typed a username or password hundreds of times though, or at least a fair portion of their userbase has. "This user normally types their password in 3 seconds but today they did it in 0.2 seconds" is a reasonable way to raise a red (or at least yellow) flag.
