
For more than two decades, the Hireology co-founder has argued that hiring should be a discipline rather than a hunch. The wager has carried him from a classroom business plan to a national recruiting platform - and into a new argument about what AI should leave to humans.

Ashby's first go-to-market hire left in pursuit of another zero-to-one adventure. His return reveals a quieter truth about ambition: sometimes the next frontier is waiting inside the place you already know.

Before recruiting became an AI arms race, Arnab Bhattacharjee was building the machinery of web search. At Consider, he is applying the same patient obsession with relevance to a more human question: who should meet whom next?

Before Diane Smith built two recruiting-software companies with the same co-founder, she learned how to lose a roster spot, return, and make the team. Her career is a study in what happens when a coach’s eye meets a recruiter’s frustration.

A visual-arts dropout taught himself to code, helped design Microsoft CRM, and learned that hiring was the stubborn problem hiding inside every growing company. Crelate is his attempt to turn that lived frustration into useful software.

From newspaper classifieds to social recruiting, skills tests and employee onboarding, Dan Finnigan has kept returning to one question: how can technology make the first days of work feel more human?
Daniel Chait is the co-founder and CEO of Greenhouse Software, the New York-based recruiting platform he started with Jon Stross in 2012 to help companies make hiring a competitive advantage. A University of Michigan computer engineer who spent more than a decade as a software consultant and previously co-founded the investment-banking tech firm Lab49, Chait built Greenhouse around the idea of 'structured hiring.' He is co-author of the book Talent Makers, a frequent conference speaker, and a vocal commentator on how AI is reshaping recruiting - including his warning about an 'AI doom loop' flooding both job seekers and employers.
Vivian Wang is the founder and CEO of LANDED, a generative-AI hiring platform built for the people who never had software built for them: the line cooks, cashiers, baristas and shift managers behind America's restaurants, hospitality groups and retailers. Launched in late 2019, LANDED automates sourcing, screening, vetting and interview scheduling for high-volume hourly roles, and by 2025 had grown to 500+ business customers, a database of 3.2 million-plus candidates and 6.3 million-plus job matches. A Princeton graduate and Forbes 30 Under 30 honoree in Enterprise Technology, Wang has raised roughly $8.7M from investors including Javelin Venture Partners and Blockchain Capital, and frames her mission around the 2.7 billion hourly workers worldwide.