Posted by rachofsunshine 9/2/2025
When the average pre-revenue startup says:
> "We need the best engineers"
What they really mean is this:
"We really need ex-FAANG engineers from Ivy League, Stanford, MIT and Oxbridge for close to below market rates."
*6 months later:*
"We have a skills shortage of the best engineers"
What they really mean is this:
"No one wants to accept our below market price offers, even with 0.01% equity which may be worth something one day."
If the startup cannot offer a competitive compensation to FAANG or the big AI companies, just walk away. Likely dodged a bullet anyway.
Let's compare the salary of a back-end engineer with a distributed engineer - it's literally 3x to 4x as much in Europe. If you have no job ; it's literally an opportunity to multiply your salary, improve, know the stack better, etc... - The end-goal is not to be part of a company that stagnates both in technology and ideas for many years - that's already a waste of time and money.
Hiring decisions tend to be a hindsight is 20/20 proposition.
And also... maybe more importantly... there's a saying (almost a joke) in the military: "You don't go to war with the forces you want, you go to war with the forces you have." (or maybe it was "people" instead of "forces" and no doubt the Air Force replaces "forces" with "very expensive weapon system manufactured by lowest-bid contractors by people who happen to live in districts represented by members of the congressional armed forces committee.") And that might be what we're getting at here.
While it would be great to get the absolute best engineer at day one, it's more likely you're going to get an engineer that requires a fair bit of training and in-the-trenches experience.
This is a false dichotomy. Hiring slowly doesn't mean doing nothing. It's really more like "do you (CTO) want to slow down on building and become a manager now?" Waiting and finding someone who doesn't need managing can be way less distracting than going for someone imperfect because you've convinced yourself you need to hire now.
Big tech rules out any red flags. This means any engineers that get a passing grade across all interviews are in. Anyone that fails one of the multiple interviews is out, despite possible strengths.
Small tech should hire on the green flags. This means you can tradeoff weaknesses if they can do a job that needs to be done.