If you get a similar stock grant the following year, even without a promotion, that’s another $25k and you’re suddenly right there on that list...with just a year of experience.
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Of course, that’s a lot of “if”s. But you can see how it happens, at least, for folks that can play well in the system.
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This structure, where everything compounds from your base salary, makes it really easy to see how pay gaps arise.
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White women & people of color are statistically less successful at negotiating starting salary. That problem compounds over time, because bonus & stock grants (which make up more of TC over time) are calculated with that lower number.
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If bonuses, promotions, and/or stock grants are based on performance review scores, the gap gets bigger - because then, the bias that created the depressed starting salaries also creates similar depressed review scores.
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Google, by the way, is currently arguing with the federal government about whether it has a gender pay gap. Google says it does not, because everyone who gets the same review score gets the same raise.
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The federal government disagrees, however, because it knows that gender bias contributes to women getting statistically lower review scores, which in turn leads to lower compensation. For a company full of smart people, Google seems a bit dense when it comes to statistics.
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One final note because so many people have commented on it: yes, these are Bay Area-specific numbers. What’s more interesting to me though is that even within the Bay Area, there is a huge disparity in compensation between BigCos and other companies.
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What would be even _more_ interesting is to know whether this BigCo/SmallCo disparity exists outside the Bay Area as well, and whether it’s the same (percentage-wise) as it is here.
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This disparity is real. The question is, is it independent of geography, or does it reflect something different about SF?
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Remote tends to have high variance as well, since some companies pay what's competitive in SF, some adjust for location, some compete on a national wage
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@gitlab for example has a calculator that adjusts for cost of living where SF is the base0 replies 0 retweets 0 likesThanks. Twitter will use this to make your timeline better. UndoUndo
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