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Case Study: Building the Team that Powers a Global SuperApp
Published on
A prominent UAE-based ride-sharing and transportation app sought to bolster its data and information security team, scaling it up from 50 to 200 professionals. This expansion encompassed hiring across a diverse spectrum of skills, including expertise in product and data engineering, AI, ML, and advanced analytics.
The Challenge
Sourcing specialized talent compatible with the Gulf Time Zone emerged as a major hurdle. This severely limited the candidate pool, making it crucial to find individuals with the right tech skills and also an ideal time zone overlap.
Another significant hurdle was the necessity to hire within extremely tight timelines and minimal upfront investment, which required innovative and cost-effective recruitment strategies.
Our Solution
The ANSR team understood the importance of balancing speed, quality, and cost-efficiency, necessitating a streamlined process to attract and onboard top-tier professionals swiftly and within budget constraints.
Optimized, Multi-Channel Sourcing:
Leveraging real-time market intelligence, our team utilized over 200 job boards and numerous third-party talent partners to create a meticulously curated talent pipeline, precisely aligned with the client’s hiring needs. Our talent recruitment team also extracted ideal candidate profiles from our Global Talent Network of 1.6M highly skilled tech professionals.
AI-Powered Screening:
Next, our proprietary AI fitment engine cross-referenced the selected profiles against 100+ parameters including technical skills, industry expertise, and most importantly, time-zone overlap. As a result, we achieved 90% accuracy in the initial screening.
Business Impact
$200,000 Saved
Optimized Time-to-Hire
90% accuracy
enabled by the India-based data security and infosec team
