SaaS · Case study
High-Volume SaaS Hiring
A 3-person TA team was buried under 12,000 applications for 8 roles. AI screening, proctored tests, and voice interviews turned chaos into 28 evidence-backed hires in 5 weeks.
12K
Applicants handled
By a 3-person recruiting team
SaaS Engineering
Cloud infrastructure and DevOps teams
2 min read
We were drowning in noise. The win was not “more automation”—it was automation that preserved signal.
When volume breaks the human loop
A fast-growing SaaS company opened eight roles in cloud infrastructure and DevOps. Marketing and employee referrals flooded the funnel: roughly twelve thousand applications for a three-person talent team.
Manual resume review could not keep pace without burning out recruiters or freezing the roadmap. They needed to compress noise without discarding strong outliers who did not fit a keyword template.
A funnel designed for evidence, not vibes
AI screening scored applicants against role-specific rubrics—stack depth, incident response instincts, and communication of tradeoffs—not just keyword matches. The team could see why someone ranked high or low before spending a minute on a call.
Proctored tests separated serious practitioners from copied solutions, especially for scenarios involving reliability, security, and cost-aware architecture. Voice interviews then validated judgment in ambiguous situations that are hard to fake in a static test.
Each advancing candidate carried a compact dossier: screening rationale, assessment performance, and interview themes. Hiring managers stopped re-litigating the same questions in every round.
From chaos to a number the business trusted
In five weeks, the team made twenty-eight hires with documentation that supported downstream onboarding and internal mobility decisions. Recruiters spent less time on logistics and more time on candidate experience for people who were genuinely in contention.
The process stayed lightweight for candidates who were clearly not a fit—quick, respectful exits—while giving serious applicants multiple chances to demonstrate real capability.
Key results
12,000 applications triaged for eight high-impact cloud and DevOps roles
28 evidence-backed hires closed in five weeks
Structured stages replaced endless manual resume sorting and calendar Tetris
More case studies
Fintech
Fintech Engineering Hiring
AI evaluation caught skill gaps that resumes and coding tests missed, reducing regret hires from 1-in-4 to 1-in-18 across backend engineering roles.
Healthcare
Healthcare Compliance Hiring
Facing a HIPAA audit deadline, AI-powered screening and proctored assessments filled 40 compliance-critical roles 3.2× faster — with a fully auditable evidence trail.
© 2026 Xquizit. All rights reserved | ALGO ONE AI PRIVATE LIMITED