Ava found them a unicorn.

Ava found Photoroom a female backend engineer. That is the headline, and it is the point: female backend engineers are already rare, and this one also had AI experience and a recent tour at an AI ecommerce startup.

That combination is a unicorn in tech. Photoroom was able to land her thanks to Ava.

Photoroom was looking for a backend engineer with AI experience, and prior experience in ecommerce or photo editing. It is a rare combination: systems depth, comfort shipping around generative AI, and enough product context to care about how images actually get made and sold.

A hire like that is easy to miss with LinkedIn Recruiter boolean strings. The people who look right on paper often lack the product instinct. The people who have the instinct often do not show up in a keyword search.

Before Ava sourced anyone, she spent time learning Photoroom’s team. Not just the job description - the preferences that actually decide a hire: how they work, what “good” looks like in a backend engineer, and the culture profile a candidate had to fit.

D’Arcy MG, Photoroom’s Talent Lead, did not have to translate that into search syntax. Ava built a live picture of the role and kept it current as the team reacted to profiles and conversations.

From there, Ava ran the search on her own. She sourced candidates who matched the real brief, wrote outreach that sounded like Photoroom, and followed up without anyone managing a sequence in LinkedIn Recruiter.

There was no manual boolean searching. No recruiter afternoons spent flipping filters. The talent team stayed out of the grind and waited for people who were actually worth a conversation.

She had the AI experience they needed, the ecommerce context they asked for, and the working style the team had already described. Ava reached out. She engaged. By the time she landed in the pipeline, the fit was already clear.

Photoroom’s talent team just had to interview her. That was the human work that remained - and it was the only work that remained. They landed a unicorn because Ava had already done the work that usually never gets done.

The time sink in a hard engineering search is rarely the interview. It is everything before it: learning what the team actually wants, translating that into a search, and chasing people who look close enough on paper.

Ava does that work autonomously. Your talent team shows up for the conversation that matters.