How Starbridge Scaled from 20 to 60 Employees with Talent Engineering

Turning Recruiting into Talent Engineering

When Starbridge closed its massive $42M Series A, the next step was obvious - scale fast. 

With a go-to-market motion aimed at helping companies sell into state, local, and education markets, their team needed to expand across product, engineering, and sales. 

But Starbridge's COO, Jordan, wasn't interested in building a conventional recruiting function. He wanted a recruiting system that operated with the same efficiency as the rest of their operations.

“We wanted recruiting to be AI forward, lean, and engineered for efficiency - just like the rest of the operations and admin functions at the company.”

Designing an AI-First Recruiting Process

Before implementing Juicebox, Starbridge’s hiring motion previously largely involved manual sourcing, rigid tools, and outreach through legacy tools.

And although it was effective early on, it eventually couldn't support the hiring demands required for post-Series A growth.

Jordan also held a strong conviction about where the best hires come from.

“It’s almost entirely outbound and sourced. Typically the best talent isn’t actively looking. Of the 40 folks we’ve hired, maybe one or two were inbound applicants.”

He decided to take their outbound sourcing process into his own hands and treated the entire funnel as an engineering problem:

• Which talent pools are worth investing in?

• How do we use the right data to filter for the highest-signal people?

• How do we scale outreach without sacrificing personalization or deliverability?

That’s when he turned to Juicebox.

AI Agents as the Core of the Sourcing System

Starbridge built a structured, scalable sourcing system powered by Juicebox’s AI Agents.

Every open role is supported by multiple Juicebox Agents, with each agent tasked to a specific candidate persona or slice of the talent market. 

He lets Agents handle the heavy lifting at the top of the funnel, while he and their Head of Talent stay in the loop by approving talent profiles before outreach is sent.

“We're running recruiting like you would run a go-to-market engineering function. We think about email deliverability, sequence optimization, open rates, reply rates - we're engineering sourcing."

Behind the scenes, every metric and experiment is also tracked in a custom database.

As a result, this structure with Juicebox Agents has enabled their team to send 25 candidate outreach per day, per inbox, while preserving deliverability of their emails.

Using Additional Data to Create Focused Agent Searches

The talent engineering approach also meant layering other AI tools to work alongside Juicebox’s sourcing capabilities.

For engineering hires, they utilize Clay to score target companies based on tech stack and team traits.

Once those companies are identified, they’re uploaded into Juicebox as Company Presets, a feature that allows users to guide AI Agents to only source from a curated set of companies.

“We do some company enrichment work in Clay, then upload those lists as Juicebox presets for more focused sourcing by companies.”

Inside Juicebox, AI Agents use those presets as constraints to drive search, filtering, and prioritization - turning a static list of companies into active, continuously running sourcing workflows.

ATS Context to Prevent Double Outreach

While Juicebox powers the entire top of the funnel, Starbridge uses Ashby as their ATS to manage active candidates deeper in the process. For exam ple, candidates only enter Ashby once they reach an interview stage. 

Until then, Juicebox handles sourcing and outreach independently. 

Starbridge also integrates Ashby with Juicebox to avoid double outreach across tools. When you run a search, Juicebox automatically checks against Ashby's database to exclude candidates already in the ATS.

"We are using the Ashby-Juicebox integration to ensure that we're not double reaching out to folks who are already in the funnel."

This separation allows Starbridge to move quickly on sourcing while maintaining a high bar for candidate experience.

The Results

The impact of this engineered system is most obvious in Starbridge’s headcount growth.

When they started using Juicebox, Starbridge had around 20 employees. Over roughly three to four months, from late Q3 to mid-January, their team grew to about 60.

Jordan shares that conventional benchmarks suggest you’d need 6–7 full-time recruiters to drive that many sourced hires. To add ~13–14 hires per month at that benchmark, you’d expect to need around seven recruiters.

With the help of Juicebox, Starbridge did it with the equivalent of 1.5 full-time hires: one full-time Head of Talent (Melissa), and another Recruiter who recently joined at the end of the year.

"We were able to do all of this with basically one and a half recruiters. I think a lot of the efficiency and success there. And almost all of it can be attributed to how we're using Juicebox."