
GoGig
Confidential professional network for currently employed candidates to match and network with hiring companies.
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Total Funding | 000k |
GoGig operates a recruitment platform focused on connecting job-seeking candidates with hiring professionals through an anonymous, AI-driven process.
Founded in 2016 by Chris Hodges, a Purdue University alumnus, the company was established to address the needs of passively seeking, currently employed individuals who wish to explore career opportunities without jeopardizing their current roles. Hodges, who serves as CEO, has a background in technology, sales, and entrepreneurship, having co-founded other technology startups and held roles at companies like SIMPLE Mobile. His experience in marketing and business development, complemented by a BS from Purdue's Krannert School of Management and an MBA from the University of Florida, shaped GoGig's strategic direction.
The company's business model is centered on a SaaS platform that allows client companies to create their own white-labeled, anonymous talent networks. This service is designed to attract and engage both passive and active talent. GoGig targets four main market segments: corporate talent attraction, internal employee mobility, university alumni networks, and state or regional workforce development agencies. For corporate clients, the platform functions as a tool to build a pipeline of interested candidates, reducing reliance on public job boards. For internal mobility, it allows employees to express interest in new roles within their organization confidentially. The company also partners with universities, such as Purdue, to create alumni and student career networks, and works with government entities to connect local businesses with talent.
The core of GoGig's service is its proprietary matching technology that prioritizes candidate anonymity. Job seekers create a profile detailing their career history, skills, and professional desires, which takes only a few minutes and is mobile-friendly. This initial process is anonymized, removing identifiers like age, race, and gender to mitigate unconscious bias in hiring. The platform utilizes AI and algorithms to match candidates with companies based on these deeper career desires and cultural fit metrics, rather than just resume keywords. Once a mutual interest is established and both parties agree to connect, the candidate's identity is revealed, facilitating direct communication. A key feature is the AI Smart Assessment, which analyzes a candidate's natural language during video interviews to provide insights into soft skills and behavioral traits.
Keywords: talent acquisition, anonymous recruiting, AI recruitment, passive candidates, internal mobility, HR technology, career networking, skills-based matching, workforce development, alumni engagement