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Re:Data Loss at GitLab by hobarrera on Thursday February 02, 2017 @08:17AM (#13550277)
Like I said, they're a remote company, and therefore can hire people in cheaper regions, and don't have to adapt to more expensive markets (like your own).

I fail to see how this disproves it, it merely proves that you're not a good choice for them (because you live in a, relatively, expensive region).

Re:Data Loss at GitLab by bartvk on Friday February 03, 2017 @01:25AM (#13558146)
> because you live in a, relatively, expensive region

If what OP is saying is true, then the company might as well be upfront about it.

Re:Data Loss at GitLab by anonymous_green on Sunday February 05, 2017 @01:41AM (#13571265)
> If what OP is saying is true, then the company might as well be upfront about it.

Regardless of that, the average salaries are posted online and they seem to suggest quite the opposite to what they offer people outside of US. It's just an indication of how much of a bully culture they have in negotiations or discriminatory, they might as well just outsource the site and not have a team of their own at all.

Re:Data Loss at GitLab by anonymous_green on Thursday February 02, 2017 @10:40AM (#13551244)
Most of their staff is from US/UK, but they just do not want to pay fair wages, which is why I posted the other thread where it was highlighted more.
Re:Data Loss at GitLab by joelx on Thursday February 02, 2017 @04:22PM (#13554773)
Is it more fair to pay you $120k or more fair to hire three people in a lower cost area?

This argument sounds more selfish than fair to me.

Re:Data Loss at GitLab by anonymous_green on Sunday February 05, 2017 @01:35AM (#13571252)
It's unfair to pay low to some and high to the other (as I pointed out earlier most of their employees are in US who are getting paid the average US salary).

A company should follow some rules to neutralise the discrimination between employees, it shouldn't be all pick and choose and take advantage where they can, that's not really the reason one should have a remote distributed team to get cheap labor.