I was also at Google when the AOL deal was signed and remember the decision and outcome quite differently. It was definitely a high risk deal, deliberately so, but in no way was it only "the best-case scenario had us breaking even". Nor was it the case that "all of our models were wrong". The product manager in charge of ads at the time had a clear understanding of exactly how the deal could be hugely profitable for Google because of the value of extra advertisers attracted to the Google platform thanks to the added AOL inventory. It was by no means a sure thing, but it was a likely outcome. Fortunately the decision makers believed him, they took the risk, and it paid off enormously.
Marissa described possibly the most thorough and analytical job search process I've heard from anyone, when she was talking about how she joined Google. I really liked her reflection on this in hindsight on how being overly analytical is dangerous and it's something I try to remind myself of when I'm in danger of overthinking a decision:<p>"I think this is a common thing that very analytical people trip themselves up with. They look at things as if there’s a right answer and a wrong answer when, the truth is, there’s often just good choices, and maybe a great choice in there."
"I realized that, while I had a very deep understanding of artificial intelligence, I did not yet have some of the basics down. I knew how a database worked. I knew how an operating system worked. I knew how a compiler worked. But I hadn't taken classes on those topics, so I went back for my master's and took the rest of the AI offerings as well as a lot of programming basics. That way, I could actually go and market myself as a software engineer and say, “I've written a compiler. I've written an operating system. I've written a database. I know how they work"<p>I am confused. Is she talking about foundation CS courses like OS & database systems OR AI courses?
Considering how Mayer absolutely cratered Yahoo I'd take her advice with a grain of salt. Quarterly operating profit dropped by more than 50% during her tenure and she was the driving force behind the acquisition of dozens of worthless companies leading to the write-off of billions of dollars in goodwill value.
Did Marissa Mayer have any accomplishments at either Google or Yahoo? It looks like she just /was/ there, but she didn't make any significant decisions which can be undoubtedly attributed to her.
"Our final question: Why isn't everyone happy all the time?
I don't know. Overall, I'm a pretty happy person, and one of my theories in life is that people fundamentally want to be happy. So, if you ever find a moment when you aren't happy, you should just wait. Something is likely to change in the scenario. Someone else will change what they're doing, or you'll get motivated to change what you're doing, so the situation will change overall for the better."<p>Sort of in a slump and I don't have anything smart to say but this made me feel a little better. I feel like I have far more ability than my company utilizes but I cannot quit because I need this job. I don't have the balls to start a company because I don't have a great idea. I just write code. So I will wait. Something will give eventually.
Was it really necessary to put in the phrase - "..bought with my babysitting money" ? Does she mean her job as a babysitter or is it just an adjective ? How much did babysitting pay that you could afford a computer with that stuff ?
I'm always irked by hns attitude towards women leaders. There so many comments trying to discredit her or trying to shame her for self promotion. In general, there's always a sexist undertone, and I feel like the anonymity of hn brings the sexism of the tech community to the surface.<p>In regards to Marissa, I personally believe that the Glass Cliff is real. It's inspiring that she was integral in creating one of the most valuable company in the valley. Likewise, I find it impressive that she was able to climb the political ladder of a generally sexist industry.