Matteo Tittarelli discusses what separates strong AI hires at startups. Great candidates have personal side projects showing hands-on AI work, natural curiosity, and comfort with fast-fail experimentation. Those dismissing AI's impact won't fit.
Chapters
How, you know, like, have you been, when you hire at Full Enrich for these type of positions, you know, like, what separates the good from the great from, in your experience?
Yeah, it's when you hire someone that already did the work on his or her side, having sort of small side project or just not all the companies offer the opportunity to really leverage AI in your day-to-day job. For security reasons, for many reasons, but you want to have the people that are naturally curious about it, that embrace it, that try. And in the startup ecosystem, you need to fail fast, but execute fast. And it's just mandatory. You can't have someone that is the old-fashioned way of thinking, that thinks that AI won't really change the day-to-day.