Madeleine is the Co-Founder and CEO of Talentdrop, a talent marketplace that matches talent to your company’s needs. She has had years of recruiting experience working at top-named companies such as Snapchat, Facebook, Uber, and Instacart. As a Co-Founder, Madeleine has partnered with many elite firms such as SV Angel and Y Combinator, both startup seed funds. She will discuss how the recruiting model varies across high-profile companies and how Talentdrop plans to compete with those big named powerhouses.
Madeleine Nguyen Bio:
I'm originally from the SF Bay Area. I went to Georgetown University in DC for undergrad where I played Women's Golf and studied Classics. I then went to law school at Washington University in St. Louis where I became interested in employment law, which led me to explore careers in HR and Talent. I wanted to get into tech so I pursued opportunities in recruiting, starting at a firm (Riviera) then going in house to Instacart, Snapchat, and Uber between 2013-2019. I left to start Talentdrop!
Talentdrop is turning recruiting into an open marketplace, where hiring companies post bounties for their open roles and any recruiter or other professional can collect it by referring a successful candidate. Companies get more people working on their hiring problem without having to pay more for it, and now anyone can earn big recruiting bonuses previously limited to a few firms.
Professional recruiters can now monetize the excess candidate inventory created from their primary business. This is work they've already done but previously couldn't benefit from. Likewise, candidates won't have to start the vetting process over from scratch again and again since they'll be able to be referred with context and get warm intros into hot hiring companies that can be hard to access. Companies can also share candidates in a more efficient way (for example, Company A has two great product candidates but only one headcount - they can refer the second).
Machine learning will help us make better hiring recommendations faster.
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