The company’s cofounders in Yerevan, Armenia, where they have a second office. Pictured, from left to right: VP of engineering Vazgen Hakobjanyan, chief architect Hovhannes Nurijanyan, CEO Laura Bilazarian, VP of product Meruzhan Danielyan (Photo: TechCrunch)
Teamable wants to know your social network. Well, its software does. The reason: it might find someone suited to fill an opening at your company who ”” no offense to your intelligence ”” might not necessarily spring to mind.
How does it work? By churning through your contact lists (think Gmail, Facebook, GitHub, any other sources of contacts that employees are willing to share), it finds connections via machine learning. Maybe you know more engineers than you’d realized, for example. Or, when it comes to an effort to hire more diverse candidates, maybe you have more friends or acquaintances from underrepresented groups than you know.
The point, says CEO and cofounder Laura Bilazarian, is that “referrals are a great source for new hires. They outperform most other sources, but until now, it’s been a memory-based process. Maybe you’d come up with one or two names.”
