Lead two established Applied Machine Learning squads (American football and ice hockey) to deliver production computer vision and deep learning systems for player tracking, event detection and game data at scale. Responsibilities include managing engineers and data scientists, driving technical and modeling excellence, ensuring model accuracy across real-world footage, collaborating with product and cross-functional partners, and prioritising scalable, cost-effective cloud infrastructure.

Hudl is hiring an Engineering Manager to lead teams that power ticketing, livestreaming, and Club sports programs. The role requires cloud and scalable-systems expertise, strong engineering leadership and people management, partnership with Product and Design, and an AI-forward approach to accelerate development workflows. Preferred experience includes video processing and streaming, transaction systems (Stripe), and technologies such as TypeScript, React, GraphQL, C#, MongoDB, AWS, and React Native.