Jump is transforming the live sports experience with the only end-to-end fan engagement platform built specifically for sports teams and venues. By focusing on aligned incentives between teams and fans, our platform unifies ticketing, merchandise, and game day operations - removing unnecessary costs and creating a smoother, more fan-friendly experience. Founded in 2021 by e-commerce innovator Marc Lore, MLB legend Alex Rodriguez, and entrepreneur Jordy Leiser, we’ve raised $60 million from top investors including Alexis Ohanian’s Seven Seven Six and Forerunner Ventures.Our platform powers teams across the NBA, WNBA, and NWSL helping them reduce costs, boost ticket sales, and deliver innovative fan experiences. We’re a remote-first team driven by core values - begin with trust, play like the underdog, and do your thing. If you’re collaborative, adaptable, and eager to shape the future of live sports, Jump is the place for you. The Role We’re looking for a Principal AI Engineer to expand the foundation for Jump’s AI-native future — building the infrastructure, tools, and culture that empower every internal team to move faster, work smarter, and deliver unforgettable experiences for sports fans. This role has two core missions: Build AI infrastructure and internal tools. You’ll design, build, and deploy AI-powered systems and tools that enable our engineering teams to experiment, evaluate, and deliver high-quality solutions. In addition, you’ll create AI tools that support other departments — from product to finance — helping them leverage AI in their workflows. You’ll own the full lifecycle of these tools, from gathering requirements and building prototypes to iterating and deploying production-ready solutions. Champion AI adoption across the company, teaching and evangelizing best practices to accelerate how every team leverages AI to do their best work. You’ll report to the CTO and work closely with senior leadership, engineering leads, and product teams to refine Jump’s AI foundations — from eval harnesses and context engineering frameworks to internal tools, and workflows. You’ll also lead rapid experimentation and internal demos that inspire and upskill the organization.