Having 4000 employees for what is essentially streamlining the process of filling out government paperwork seems absurd to me. Don't misunderstand I've delt with compliance and know very well how much a headache it is and the mountains of paperwork. Yet I just cannot possibly see how this many employees could be needed or profitable to hire.
OneTrust lays off 25% Workforce
71–80 of 109 posts
Re: OneTrust lays off 25% Workforce
#72Earlier quoted context omitted.
I think the part about that strategy that bugs me is that the workforce doesnt know they are effectively doing a tryout for the company But at the same time, these are probably the same companies that say "competitive work environment" somewhere on the job application so maybe employees should expect it
> these are probably the same companies that say "competitive work environment" somewhere on the job application so maybe employees should expect it Anecdotally, I've seen touchy feely corporate tone along with this strategy, and would suspect that is a fairly common combination. What you describe certainly exists, but it's not always so obvious.
Re: OneTrust lays off 25% Workforce
#73Earlier quoted context omitted.
>Facebook for a day due to a bad config is going to cost more money than a century of someone writing code. I simply don't believe this is true. Its one of those things that has become "fact" through repetition. I don't think there is even a way it could be proven if you wanted to. I don't think amazon loses $X millions if the site is down for an hour. I think people just say oh its down and come back later and buy e…
Facebook does not make money selling physical items though, it makes money on page views and clicks. If the site is down, they lose all of those ad views and clicks, they are gone because the time needed to view them and all of the other ads is gone.
IME SLA's rarely pay out enough to really make it worth pursuing. However I have gotten a couple payouts from SLAs for companies i worked at in the past. I didn't think it was worth the time but I got paid either way.
I get they have profit models that "prove" they lost money but they all must be based on an assumption. The assumption that there was only this one chance to catch the attention of the customer and never again. To me this is a very big assumption that simply cannot be proven and is probably wrong.
Re: OneTrust lays off 25% Workforce
#74Earlier quoted context omitted.
More likely: Worried about runway given difficultly of raising capital, cutting down to ensure burn-rate assumes capital isnt raised.
With profits, shouldn't you have an infinite runway?
Also, with stocks not going up infinitely, comp needs to change to less stock ("free") and more cash, further reducing profits.
Re: OneTrust lays off 25% Workforce
#75Re: OneTrust lays off 25% Workforce
#76Earlier quoted context omitted.
Facebook does not make money selling physical items though, it makes money on page views and clicks. If the site is down, they lose all of those ad views and clicks, they are gone because the time needed to view them and all of the other ads is gone.
I have not worked in the ad space so I'm certainly ignorant of the day to day mechanics. How can you prove that the people didn't just come back 6 hrs later and spend the same time clicking and viewing the same ads? Just in a different timeframe? Is the cost of an ad at 6PM really that much greater than at 10PM? IME SLA's rarely pay out enough to really make it worth pursuing. However I have gotten a couple payouts f…
Re: OneTrust lays off 25% Workforce
#77I'm always amazed with how big tech companies get in terms of employee count. I once wandered the engineering area of the HQ (with an employee) of a FAANG (MAANG sounds... silly) and made a tick mark on my notebook when I saw someone actually coding - or at least having code on screen. There were over 1200 people on the development team and at the time most worked out of HQ. So... when I was done walking, I had 22 ti…
Re: OneTrust lays off 25% Workforce
#78Earlier quoted context omitted.
Facebook does not make money selling physical items though, it makes money on page views and clicks. If the site is down, they lose all of those ad views and clicks, they are gone because the time needed to view them and all of the other ads is gone.
I have not worked in the ad space so I'm certainly ignorant of the day to day mechanics. How can you prove that the people didn't just come back 6 hrs later and spend the same time clicking and viewing the same ads? Just in a different timeframe? Is the cost of an ad at 6PM really that much greater than at 10PM? IME SLA's rarely pay out enough to really make it worth pursuing. However I have gotten a couple payouts f…
Why do you assume intelligent people who make decisions based on this haven't tracked spend by week, spend by month, regression models and the five hundred other ways to try and model this? We're talking about trillion dollar industries and you're assuming they don't do basic sanity checking.
Re: OneTrust lays off 25% Workforce
#79I'm always amazed with how big tech companies get in terms of employee count. I once wandered the engineering area of the HQ (with an employee) of a FAANG (MAANG sounds... silly) and made a tick mark on my notebook when I saw someone actually coding - or at least having code on screen. There were over 1200 people on the development team and at the time most worked out of HQ. So... when I was done walking, I had 22 ti…
Its almost like the practice of software engineering in a large organization involves (much) more than writing code?
Re: OneTrust lays off 25% Workforce
#80Earlier quoted context omitted.
I have not worked in the ad space so I'm certainly ignorant of the day to day mechanics. How can you prove that the people didn't just come back 6 hrs later and spend the same time clicking and viewing the same ads? Just in a different timeframe? Is the cost of an ad at 6PM really that much greater than at 10PM? IME SLA's rarely pay out enough to really make it worth pursuing. However I have gotten a couple payouts f…
>How can you prove that the people didn't just come back 6 hrs later and spend the same time clicking and viewing the same ads? Why do you assume intelligent people who make decisions based on this haven't tracked spend by week, spend by month, regression models and the five hundred other ways to try and model this? We're talking about trillion dollar industries and you're assuming they don't do basic sanity checking…