SquarePeg screens job applicants using AI to surface qualifications beyond resumes. The tech stack reveals a mobile-first product (React Native, Expo, iOS, Android) paired with healthcare-grade data handling (HL7, DICOM, PACS protocols), suggesting the platform processes sensitive candidate data with clinical-level rigor. Hiring has slowed to one role in the last month across a lean 11–50-person team, with engineering and product focused on an AI insights engine and data pipelines for inference.
SquarePeg is a candidate screening platform that integrates into applicant tracking systems to evaluate and score job applicants. The product enriches resume data with AI-driven insights, allowing recruiting teams to reduce manual screening work and accelerate hiring decisions. Founded in 2021 and based in Salt Lake City, the company operates as a lean, engineering-forward organization backed by multiple venture firms. The tech stack spans mobile applications (iOS and Android via React Native), backend services (Node.js, Express, AWS Lambda), and data infrastructure (MongoDB, DynamoDB), with active development on AI inference pipelines and data processing layers.
Frontend: React, Next.js, React Native (iOS/Android). Backend: Node.js, Express.js, AWS Lambda. Data: MongoDB, DynamoDB, SQL. Deployment: AWS, Vercel. Healthcare protocols: HL7, DICOM, PACS.
Salt Lake City, Utah. The company also hires engineers, product managers, and support staff in the United States, Uruguay, and India.
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