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Company Description
Geekology is a Jobfully company that equips talent acquisition teams with the technical fluency and recruiting playbooks needed to hire software talent with confidence, while also offering end-to-end talent consulting for growth-mode startups. Purpose-built for technical recruiting, Geekology translates complex engineering concepts into plain English so recruiters can decode job descriptions and resumes, run insightful intake meetings, and engage credibly with hiring managers and candidates. Its training portfolio includes Technology Training Core (Tech 101), Technical Recruiting Strategies, and the four-week Technical Recruiting Prime program, combining live, small-group workshops with self-paced content to cover software development fundamentals, team roles, languages and tools, evaluation frameworks, Boolean sourcing, and channels beyond LinkedIn such as GitHub and Stack Overflow. Complementing training, Geekologys services help startups optimize recruiting and people operations through employer branding, sourcing and recruiting support, candidate closing, onboarding and training, performance tuning, professional development, incentive design, and career pathing. The team applies a data-driven approach to time/cost per hire and business impact per employee, integrates tightly with internal teams, and builds in-house capability for sustainable results, aligning talent strategy directly to business goals. Founded and led by Mei Luan engineer-turned-recruiter and Founder/CEO of Jobfully.com with engineering experience at Qpass, MIT, and MicroStrategy, and masters degrees from the University of Pennsylvania (Computer Science) and Carnegie Mellon University (Engineering)Geekology brings deep credibility across both software and recruiting. Recognized by SHRM for Professional Development Credits, its programs have been trusted by organizations such as Amazon, Microsoft, Indeed, INRIX, Akvelon, NetMotion, Union Bank, KeyBank, HBS Online, BCG, and more, consistently helping recruiters increase both the quality and quantity of candidates, reduce time-to-fill, and become valued business partners to engineering teams.
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