Founding Engineer

Founding Engineer at Ref The Problem Resumes are rapidly becoming obsolete. AI-enhanced applications are flooding hiring pipelines, making it impossible for companies to identify truly qualified candidates among thousands of submissions. Meanwhile, professionals struggle to showcase their full potential beyond a static resume. The hiring sector remains tethered to this outdated system, and even AI solutions are hitting a ceiling on what they can achieve with limited resume data. It's time for a new approach to hiring. About Ref Ref is an AI-Native hiring platform designed to address the challenges faced by hiring teams AND candidates in today's AI-enhanced application landscape. For hiring teams we provide advanced predictive talent and hiring tools that tackle their most pressing hiring needs. Our platform streamlines the candidate screening process, transforming it into an efficient, data-driven operation that significantly reduces time-to-hire while improving the quality of matches. Complementing our company-focused tools, we're developing a comprehensive professional history platform for job seekers. This includes creating persistent profiles validated by references, with detailed professional histories, and integrations with platforms like GitHub, design portfolios, and other sources that provide insight into a professional's history. This approach will furnish hiring teams with a substantially richer dataset to analyze, offering deeper insights into candidates' skills, experiences, and potential fit beyond what traditional resumes can provide and automate the painful process of custom resume tailoring for every application. By connecting what companies need to know with what candidates can meaningfully showcase, Ref is building a more transparent, efficient, and effective hiring landscape. Our goal is to facilitate optimal connections between talent and opportunities, benefiting both hiring teams and job seekers in the process. Our Traction We have developed a