How to Build Talent Pools on Autopilot With AI Agents, with David Paffenholz

David Paffenholz never worked as a recruiter. He studied economics at Harvard, led growth at Snap, and built a couple of consumer products with his co-founder, Ishan, before the two of them turned their attention to hiring. What they noticed was that most of the recruiting tech stack is built for candidates who are already in the funnel, while the harder and more valuable problem sits right at the top: finding the right people and getting them to reply.

The platform they built, Juicebox, is now used by more than 5,000 customers, and around 40% of them run AI agents that source candidates autonomously for open roles. One agent per role. Each learns from your feedback, sources a set number of new candidates every day, and tells you when the talent pool needs a different approach.

In this special sponsored episode, David walks Mark through what that looks like on a real desk. He covers the four-step outreach sequence Juicebox recommends, why generic AI-written emails hurt response rates and how to keep yours sounding like you, and how the platform searches and ranks candidates without a LinkedIn Recruiter seat. He also makes the case that recruiting will start to look more like executive search, with agents handling the research and sourcing while recruiters spend their time where they create the most value: building trust with candidates and clients.

He also shares the honest version of building the company, including the two difficult years when it was just him and Ishan, before Juicebox found momentum.

In this episode, you'll discover:

How one AI agent per open role sources candidates every day

The four-step outreach cadence Juicebox recommends, and why the fourth email waits

Why generic AI-written emails hurt your response rate, and how to keep yours sounding like you

How to search and rank candidates without relying on LinkedIn Recruiter

When to add LinkedIn and phone steps to an automated sequence

Why the future of recruiting may look more like executive search

What helps recruiters and employers win the best talent