Meet Hirevue

Hirevue helps enterprise organizations hire better talent, faster. Its enterprise scale AI-powered platform offers trusted, transparent, human-centered AI that replaces resume screening with science-backed, evidence-led assessments so hiring teams can evaluate what candidates can actually do, not just what's on their resume.

A legacy platform, an ambitious roadmap, and a QA gap that kept growing

When Alberto Silveira joined Hirevue as CTO two years ago, he was keen to develop a QA process that would speed up releases and move the team to a continuous deployment model. The traditional QA process, based on a Selenium testing suite and manual checks, meant engineers were constantly context-switching away from product work to fix flaky tests or cover gaps in automation.

A complex tech stack (a mix of .NET, Python, and React, spread across GitHub, GitLab, self-hosted and cloud-hosted environments, deployed across multiple global regions) left engineers with uneven test coverage. But every minute spent on test infrastructure was a minute not spent on what actually mattered: building the product.

"We had issues with our releases. We had major customers impacted. The last thing a CTO wants is to be on a call with a strategic customer because the software you released isn't functioning as expected. Those calls are brutal."
—Alberto Silveira, CTO

And the product roadmap was getting more ambitious, not less. A wave of new capabilities needed to ship fast. Staying in the old model wasn't an option.

"My big question was: How do we innovate faster? We had to think disruptively in every area of the business, including how we test."
—Alberto Silveira, CTO

Too much context switching, not enough product velocity

Alberto's core requirement wasn't just better test coverage. It was getting his engineers' focus back so they could build and release faster. Every alternative he evaluated, from migrating to Playwright in-house to adopting visual testing tools, had the same problem: someone on his team still had to own it.

"All these other solutions would require my engineers to deal with flaky tests, maintain a framework, and context switch. Context switching is expensive. Every time a human stops task A to go to task B, there's a cost."
—Alberto Silveira, CTO

He needed a solution where quality was simply handled, not delegated back to engineering in a different form.

From bi-weekly releases to weekly, and accelerating

Since partnering with QA Wolf, Hirevue has cut its release cycle in half. The team has moved from bi-weekly to weekly production releases, with twice-weekly in sight. The longer-term goal is multiple deploys per day. QA Wolf's automated coverage is a core pillar of that journey.

"Rapid QA cycles are a huge part of increasing release velocity. With AI enabling us to write more code faster, you need a solution like QA Wolf to keep pace."
—Alberto Silveira, CTO

10+ hours saved per release, per region

Hirevue deploys region-specific versions of the application in US, Europe, Australia, and more. Each region is treated as a separate release event, requiring its own smoke test run to validate that key functionality is working after every deployment. Before QA Wolf, those runs were largely manual.

The math adds up quickly: 10 hours saved per production push, multiplied across regions and an accelerating release cadence, amounts to hundreds of hours reclaimed each year—hours that have been reinvested directly into product development.

QA Wolf delivered testing capacity comparable to a 15-person QA team

To replicate what QA Wolf delivers today—building the test suite, maintaining it, running it concurrently, and responding to failures within SLAs—Hirevue estimates it would need to hire roughly 15 additional QA engineers. At fully-loaded engineering salaries, that's several million dollars per year. Instead, that investment is going toward product innovation.

"With QA Wolf we were able to repurpose our QA expenses into innovation and better quality product delivery.”
—Alberto Silveira, CTO

A seemingly impossible FedRAMP certification in 9 months

FedRAMP is the rigorous federal security framework required to sell software to U.S. government agencies, and certification typically takes years. Hirevue set out to do it in nine months.

That required overhauling infrastructure and application code to meet hundreds of security controls, all while continuing to ship products. QA Wolf worked alongside the Hirevue team to get automated tests running inside the isolated GovCloud boundary.

"GovCloud is its own isolated region. Everything has to run within that boundary. It was new for me, new for the team, and new for QA Wolf—and we figured it out together. The business impact is huge."
—Alberto Silveira, CTO

With automation now running in the FedRAMP region at the same coverage standard as every other environment, Hirevue is positioned to bring this new product to federal customers with full confidence.

Engineers building product, not babysitting tests

Perhaps the most lasting change has been cultural. QA is no longer a separate function struggling to keep pace with engineering. QA Wolf is brought in at the inception of new features — learning what's being built before it ships, so automation is ready when the code is.

"Before, engineers had to stop what they were doing to fix broken tests. Now that cost is gone. We can focus on building the product — that's what our team is good at, and that's what our customers need from us."
—Alberto Silveira, CTO

Who should consider QA Wolf?

Alberto's answer is direct:

"If you have an automation gap, look into QA Wolf. If you're building features faster than you can ensure quality, look into QA Wolf. If your engineers are constantly context-switching to maintain a test framework — look into QA Wolf. If QA automation isn't your core business, you probably shouldn't be doing it yourself."
— Alberto Silveira, CTO

The metric that matters most: no more painful customer calls

Alberto doesn't track success in lines of coverage or number of tests. He tracks it in something simpler.

"If I have to pinpoint one metric, it's this: I don't remember the last time I was on a customer call because the software wasn't working. Not test coverage, not number of tests or timing. I count the customer calls I have to be on for bad reasons — and those have stopped."
— Alberto Silveira, CTO