ThoughtSpot reviews

The ex-CTO has a cult following in the org. He like to throw all kind of random ideas in his cult gathering and people like to bow. He can self proclaim himself to be an "AI Expert" one day, while never having worked on anything remotely similar to that and people would bow to him with all their might to convince him of their selfless dedication to him (btw that is what is called selfless excellence in the org, can you or can you not selflessly bow to every random, worthless idea the "leaders" propose and back in the org). This company may try to convince, that they are AI first company, more like API first company, a simple classification is happening with an API call in this company. There is no ML talent, no knack for doing ML and no culture to do ML in the org and i wonder if such a company would be able to hire any serious ML talent in near or distant future. This company is a wrapper over chatGPT, everything that this company does is powered by GPT, so you can imagine how GPT can tomorrow take them for a ride. And these guys would actually consider this a strength and not weakness, and hence are highly adamant and reluctant to listen to anybody else. Most of the kid "directors" and "VPs" of the org are of the opinion that learning to master and do ML seriously require only 3-4 months of learning. Tells you about the bar for ML in the org. Most people would not recognize a ML problem, if they see one in front of them. This company is like a 90's tech company with chatGPT support. This company will go bankrupt and your stocks will go to zero, as they can be easily replaced tomorrow, they haven't built anything significant of their own in last 10 years and they won't in next 10 years. This company is as random as can be in terms of job levels, work, stock valuation, interview process, etc. You can potentially understand how random the company is from the interview experience itself, in one of the interviews I was assigned an interviewer who asked me about current affairs (who do you think is responsible for the recent train crash in India ?). This was a design round, and the guys who was assigned to interview me was not from ML, you can wonder what could he have asked me. I would suggest experienced AI ML folks to stay clear from this org, because as the statement above suggest, you are as good as a person having 3 months of AI ML exposure. Your 10 years of ML experience is equivalent to a 3 month pass out to them. This is while the directors and the VPs of the org don't see obvious ML problems to be solved in the org. I have not seen a better mix of failures and incompetent individuals, collected from all across the IT industry, trying to solve the most challenging problem out their in the AI ML space, without any ML strength in the org. Some people might think that they would be able to create huge impact in the org with basic some ML chops and will get to work on some cool AI ML projects to go with. As i said this org has no ML "leader" they don't know ML and their bread and butter till now have been to fix leaks and customer complains using heuristics and patch work. If you think that they will understand what you want to do, will trust you, not be threatened by you and not try to ferociously defend their way of doing things, while you try to steal their bread and butter ? While they themselves have not done any real contribution in the org? you might be mistaken. I would suggest people to check the past experience of VPs in the org, what are their past worthwhile endeavors, "other than being in this company (this is considered to be a bigger deal then working in google's and facebook's of this world)" ? Where have they worked and in what problem? Then lets get to directors, and do the same, you will see what I am talking about.

- Sometimes work life balance takes a hit.