Hiring should be
win-win for everyone.
We strive to instill confidence in making sound talent decisions because that’s what both organizations and candidates deserve. It’s time to inject talent strategy with the same level of rigor as business strategy.
Our talent intelligence gives companies the ability to measure and improve quality of hire. Searchlight connects candidate reference and self-assessment data to post-hire outcomes, creating a powerful hiring and retention engine that provides prescriptive insights. By creating a system that pulls employee outcome data back into the recruiting process, Searchlight helps companies hire with data and science to build a stronger workforce.
Our story
Twins Anna and Kerry Wang decided to create Searchlight soon after they graduated from Stanford, with BS and MS degrees in computer science and artificial intelligence. They had accidentally ended up with the same resumes - same schools, same companies. During their own job searches, they saw how organizations struggled to evaluate their unique competencies, working styles, and strengths.
They believed that if they solved this talent data problem, it would not only help candidates feel understood, it would also be game-changing for companies needing to build diverse, winning teams. They started their journey with Y Combinator and have since been recognized by Forbes 30 under 30.
We believe
Hire for Anniversary date, not Start date. Employee experience starts with Candidate experience.
You manage what you measure. Companies need to measure Quality of Hire so they can hire better.
The employer-employee relationship should be increasingly personalized, supportive, and well-matched.
Companies should hire based on strengths and abilities, not lack of weaknesses or credentials.
Anyone can thrive when set up for success in their ideal environment.
Put People First
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Play Bigger
Seek First to Understand
Turn Pennies into Hours
Be Owners
Win with Integrity
Continuously Improve
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Our World-Class
Investors
Not only are our investors the best, more than 50% of them are from underrpresented backgrounds.
Elain Szu
Kenny Mendes
Amber Feng
Mathilde Collin
Jason Boehmig
Beth Axelrod
McKenna Quint
Kelli Dragovich
Jeff Diana
Keith Rabois
Anna Wang
Kerry Wang
Sarah Semmel, Ph.D.
Greg Russell
Jessica Yuen
John Foster
