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Hiring Intel

What High-Performing Talent Teams Do Differently to Attract Hard-to-Find Candidates

Jesse Galanis

July 15, 2026

Hiring Intel

What High-Performing Talent Teams Do Differently to Attract Hard-to-Find Candidates

Jesse Galanis

July 15, 2026

Photo by Md Ishak Rahman on Unsplash

Some roles just don’t fill. You post, you refresh the ATS, you widen the salary band, and the pipeline stays thin.

Meanwhile, another team down the street, or across the internet, closes the same role in six weeks with someone better than anyone you’ve seen.

What are they doing differently?

Teams that consistently land scarce talent run a different operating system: they source before they need to, let their reputation do half the outreach, and treat the candidate’s time like it costs something.

Here’s what that actually looks like in practice.

Know What Hard to Find Actually Means

Before fixing the pipeline, it’s worth being honest about why it’s empty.

The scarcity is in the combination

Hard to find means the intersection is narrow.

A security engineer is findable. A security engineer with cloud and compliance experience who’ll take a clearance and relocate to a mid-size metro, that’s a Venn diagram with a sliver in the middle.

Same story with senior product marketers in categories that didn’t exist three years ago, or nurses in rural regions, or anyone whose role requires shift work plus hands-on lab time.

Bryan Henry, President of PeterMD, has built clinical teams in a market where licensing rules shrink the candidate pool before the search even begins.

He says, “The clinicians we need exist. The problem is that state licensing, telehealth comfort, and hormone therapy experience rarely show up in the same person. We stopped waiting for applications years ago.

We stay in touch with providers long before we have an opening, because by the time a role is posted, the best people in this niche are already having conversations somewhere else.”

The scarcity usually comes from one of three places:

  • Niche skill stacks that few people have had the chance to build
  • Demand spikes in hot industries that outpace the talent supply
  • Geography or logistics like clearances, shifts, on-site requirements

The AI talent industry reflects this too.

Read the full article here: 

Teams that consistently land scarce talent run a different operating system
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