• We are seeking a full-stack engineer to join our fast-evolving Automated Marketing engineering team. • This person will work closely with marketing and product teams to deliver value to the business quickly through the development of internal tools and pipelines ranging from early prototypes to fully-supported products. • This role focuses on the full stack, including data engineering, data pipelining, backend development in Python, and front-end development in React. • This is an exciting opportunity to work with a world-class team on AI/ML-driven solutions to complex marketing problems.

• Run a modern, containerized service-oriented architecture using industry-leading software development practices • Ship code to production many times a day • Solve complex performance problems, build a many-sided marketplace, empower a data-driven business and scale our software to support our booming business • Build performant, beautiful, inclusive user interfaces that delight our users and enhance our brand • Evaluate new technologies and improve our software stack to keep our technological edge • Leverage cutting-edge AI tools to bring ideas to life faster than ever while upholding SeatGeek’s technical and product standards; no token limits • Work across team and discipline boundaries to develop the best product in our industry

• Develop high-quality, reliable services in a Golang and Python codebase, ensuring performance and stability across Axios’ publishing and delivery platforms. • Design, implement, and maintain scalable REST APIs to power Axios products. • Build and optimize backend services using Golang and Python, ensuring they are resilient, performant, and maintainable. • Design and evolve database schemas and performant queries to support new features and business requirements. • Work closely with front-end engineers, quality engineers, designers, and product managers to deliver end-to-end features. • Write unit, integration, and end-to-end tests; contribute to Axios’ quality efforts by ensuring backend systems are covered with automated tests. • Monitor system health, contribute to our logging/metrics implementation, and proactively improve performance and scalability. • Leverage AI tools such as GitHub Copilot, Claude Code, or other assistants to accelerate development, improve code quality, and explore creative solutions. • Participate in code reviews, propose improvements to architecture and practices, and stay up to date with evolving backend technologies.

• New Grad Olympics is a 4-week paid trial for new grad AI product engineers. • Apply, complete a build challenge, and compete on a public leaderboard. • Top 3 on the leaderboard earn automatic entry into the program. • 10 candidates work alongside our team for four weeks. • Top performers receive full-time offers.