Based on the article that is linked above, its origin seems to come from laws preventing map/navigational data being exported due to national security (South Korea is technically still at war with North Korea, as the Korean War only ended with an armistice/cease-fire). The article then states how the non-Korean perspective may view this as South Korea utilizing these laws to push a protectionist policy, helping South Korean tech companies to compete with big tech.
wow, interesting. Why does it only apply to companies with more than 15 people? Is it the idea that you're more likely to have family help (and only family being willing to help) when your company (more small business than traditional startup) is this small?
If you are starting a small company you either pick people you already know (whoever those might be) or maybe a few random experts with very specific skillsets. There is no place for you to actively discriminate someone that would have maybe been a better pick, just because you didn't like their skin color or gender... Or if you still do it comes at your own loss.
I have only a wild guess. Only the most successful people from another country are offered the opportunity to come here. So the random native Nigerian who has moved to the US is probably a better candidate than your random native American of any race.
As an Immigrant to the US who could not make it big and had to go back(to India). It's not the most successful people, it's the most successful people in the prime of their health, career, academic and family situations. It's like everything that makes one fall in the top most cohort of people in history needs to happen to an individual. It's not just individual ability or hard work or talent. Everything from health and family situations to personal career situations just needs to work.
We are not just talking of the best people of the human race, we are also talking of the most luckiest.
US immigration is a combination of all those great Human enterprise things plus a very brutal lottery system. In short a very powerful filter that just picks the most successful people and makes them succeed further.
That’s well beyond my knowledge of race issues. Maybe others have some data. I’ve seen it at a number of companies. To the point that before a black engineer speaks, Ive got a Bayesian probability precomputed on what accent I’m likely to hear.
3 of my friends got this, all at Facebook. Not to say this is standard, but this is not outlier. Some hedge funds pay more.
AFAIK only Facebook gives 100k signing, and it's usually for returning interns and after negotiation with competing offers (usually other FANG or hedge fund offers).
Amy idea of their signing bonus outside of new grads? I'm wondering what they offer people with real experience if they give that much to people without any. Relevant for me because I'm interviewing with a large financial firm that "pays similarly to FB". I doubt their claim, especially in light of these numbers.
So you’re not trying to maximize salary but care about equity? Not sure I understand. Equity at seed stage startups is like buying lottery tickets, with the main difference that even if the startup has a successful exit 5 years later, you are not likely to get much if you are a salaried employee. Say you get $100k salary and 1% of shares, which becomes 0.1% after dilution. Say the company is bought for $1B. You will get $1M. So the total you have made after 5 years would be $1.5M. If you were working at Facebook at $300k/year you would have earned the same amount. Only the chances of this happening at FB are close to 100%, while unicorns are called unicorns for a reason.
Could they dilute people like that? From 5% to 0.5%? That dilutes everyone else as well though, right (I guess the new shares can be given to the founders so they aren't diluted).
