Customer-facing software engineers for AI product analytics
unitQ turns live user feedback into product-quality signal for engineering teams. Its hardest searches combined three constraints at once: real engineering depth, comfort in front of customers, and a willingness to work on-site well outside a major metro.
- Candidate-to-interview rate
- 100%
- Time to first hire
- ~4 weeks
Roles placed
- Senior Software Engineer, Customer-Facing
Why unitQ’s engineering search was hard
unitQ is a customer and product analytics platform that helps technology companies improve their products using real-time user feedback. The engineer who owns that surface sits close to the customers generating the feedback, which is why the search combined three requirements that are each ordinary alone and rare together: top-tier technical skill, genuine customer-facing ability, and willingness to work on site away from a major metro.
Any one of those is a manageable search. Together they eliminate almost everyone a keyword search surfaces. Filter for depth and you get engineers who have never run a customer conversation. Filter for the customer-facing half and you get solutions people who cannot hold the technical half of the room. Add a smaller local market outside the metro areas and the remaining set is small enough that reach, not volume, decides the outcome. It is also the combination traditional recruiters tend to miss, because it needs a search built around the location and the skill at the same time rather than either one first.
The search OutScout ran
OutScout ran it as a geo-targeted search rather than a title search, working local networks and targeting candidates who were genuinely willing to relocate or commute, then screening specifically for engineers who were ready to work on site and had real customer-facing experience behind them. Only candidates matching unitQ’s stack, culture, and location needs were put forward. Every candidate presented for the senior software engineering role advanced to interview, which is the number that matters to a hiring team with no time to spare: the process cost them interviews, not screening.
The same search built pipeline past the first hire, surfacing candidates for a second software engineering role and an on-site machine learning engineer.
Why this profile is scarce
Engineers who are good in front of customers usually get pulled toward solutions or sales engineering, where that skill is the job and the pay reflects it. The ones who stay in a core engineering seat and keep it are not surfaced by title searches, because their titles look like everyone else’s. Finding them means going to them directly, and doing it in one specific place.
Related customer stories
Other specialist engineering and product searches.
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