My reflections on hiring a team of 20.

Hiring is a never ending task. Interviews have a low conversion rate. Learned a lot through the last couple of months, as auxi marked a new hiring chapter, here are a few things I reflected on today.

1. Always bet on uncommon profiles. Computer scientist who traveled to some remote area to raise sheep? Yes.

It is a high risk venture, but when you land on the right candidate, their impact is exponential on the firm. Away from sheep, as an example, we hired a musician out of Berkley college of music to work on an upcoming product. Image of sheep here, just to distract you as I can't share what product III is yet.

2. Machine learning engineers, are not necessarily the best machine learning engineers. What is important is a proven record of learning new things quickly and being dependable, the rest will follow.

3. No place for smart but arrogant people, they ruin culture for everyone.

One thing I feel bad about. I have to apologize to some of the 500+ applicants who were not selected for not getting back to them. With a small team and too much to do, it is hard to allocate the time to get back to everyone on time, it just is not physically possible, as we read every single resume we receive - go to point #1.

Ready for the week. Let's do this!

Rami