To find a Chief Scientific Officer with a rare combination of skills, EARLI's CEO used LinkedIn search. He combined terms like "gene therapy," "venture," and "FDA experience" to narrow the global candidate pool to about 25 people, proving precise digital sourcing can outperform traditional networking for highly specialized roles.
Honeybook built a ChatGPT agent that logs into LinkedIn, searches for candidates based on a job description, and applies nuanced filters (e.g., tenure, location, activity). This automates a time-consuming, multi-step workflow, freeing up the hiring team for higher-value tasks.
Your hiring funnel has an ideal customer profile, just like sales. Analyze your top-performing employees to identify common demographics, past experiences, and behaviors. Use this 'avatar' to filter applications and target your sourcing efforts, increasing the likelihood of success for new hires.
LinkedIn's new AI-driven search moves beyond exact job titles. Prospecting now involves natural language queries, like finding founders in a specific industry who previously worked at a certain company. This allows for much more nuanced and effective lead generation for premium users.
The speaker, Philip, caught the attention of Thrive's founder, Josh Kushner, by writing a niche Substack about semiconductors. This demonstrates that deep, public expertise in a specific domain can be a powerful way to network and find unique career opportunities in venture capital.
To make a hire "weird if they didn't work," don't hire for potential or vibe. Instead, find candidates who have already succeeded in a nearly identical role—selling a similar product to a similar audience at a similar company stage. This drastically reduces performance variables.
Traditional recruiting tools rely on keyword searches (e.g., "fintech"). Juicebox uses LLMs to semantically understand a candidate's profile. It can identify an engineer at a payroll company as a "fintech" candidate even if the keyword is absent, surfacing a hidden talent pool that competitors can't see.
Zapier's CEO uses Grok's natural language search on X to find "under-the-radar" candidates. You can specify niche interests (e.g., "fans of no-code"), modest follower counts, and geographic locations to uncover passionate individuals who aren't on typical recruiter radars.
Exceptional individuals often publish their thoughts online. By reading their content, you can assess their thinking, expertise, and confluence of ideas, making a traditional interview redundant. This allows you to move decisively when you find a match, as when the speaker hired his Opendoor cofounder on the spot.
Marketing leaders can significantly increase recruiting success by personally messaging high-value candidates on LinkedIn. A direct message from a hiring manager like a CMO has a much higher response rate than outreach from a recruiter, signaling the role's importance and providing a direct line to leadership.
EARLI's non-scientist CEO, Cyriac Roeding, felt stuck searching for his next venture. A powerful magazine story about scientist Dr. Sam Gambhir's work and personal loss prompted him to send a cold email. This unconventional, mission-driven outreach led to a partnership that founded the company.