About the role
Software Engineer, Full-Stack (SF) Software Engineer, Full-Stack (SF) About Loop Loop is industrializing services through AI, starting with one of the world's most complex industries: the global supply chain. We're an AI-native company built to solve the systemic data problem that's held logistics back for decades. Our Logistics Data Platform turns fragmented, unstructured data into a trusted foundation that fuels automation, financial clarity, and decision intelligence at scale. Today, Loop serves >20% of the Fortune 100, manages over $30B in supply chain spend, and helps its clients save hundreds of millions of dollars each year. We recently closed a $95M Series C and are backed by leading investors including Valor Equity Partners, Founders Fund, 8VC, Index Ventures, J.P. Morgan, and more than 50 industry-leading angel investors. Our team brings deep expertise from Uber, Google, Microsoft, Meta, Amazon, Flexport, C3 AI, VMware, Box, UPS, and C.H. Robinson and we're looking for builders who want to help shape what comes next. About You As a full-stack engineer, you will work closely with founders and customers to understand and solve their logistics billing and payment pain points. You will help define the product and ship features that directly impact our customers. You will face and solve many complex technical challenges while you receive guidance and feedback from
the team. You will shape the Loop DNA and define how we grow as a company.
Responsibilities Work cross-functionally with product, design, and sales to understand
requirements and ship thoughtful solutions. Write high-quality code optimized for extensibility. Engage in code reviews to maintain a high bar of engineering excellence. Lead discussions and documentation to communicate and arrive at the best technical design. Work across different component boundaries, from frontend to backend, and even infrastructure layers. Adopt AI technologies such as Cursor/Codex/Claude to accelerate software development and champion adoption of AI tools across the organization for increased productivity. Promote better practices and share technical knowledge across
