Machine Learning Engineering Manager

Your teams own the algorithmic heartbeat of major esports verticals, spanning iconic MOBA titles (Dota 2, LoL) and FPS giants (CS2, Valorant). They manage the entire ML lifecycle—from raw data ingestion and feature engineering to model architecture, rigorous validation, and high-throughput production deployment. While you won't be writing the code yourself, you will serve as the technical anchor who deeply understands this end-to-end flow, ensuring our systems are robust, scalable, and cutting-edge. A critical pillar of your role is high-level strategic alignment. You will act as the key technical bridge between your teams and product managers, infrastructure champions, and domain game specialists, transforming complex technical capabilities into sharp business outcomes and seamlessly integrating domain insights into our modeling strategy. Your Responsibilities Leadership Lead two teams of 4-6 ML engineers and mathematicians, each focused on a different esports vertical (MOBA, FPS). Define team staffing needs and drive hiring across both teams. Manage performance of direct reports. Foster a culture of ownership, accountability, and collaboration. Set the standard for how the teams work with AI tools - lead by example, encourage experimentation, measure and evaluate AI tools and set up impact on delivery. Technical Strategy & Roadmap Partner with senior team members to shape the roadmap; together with a PM ensure alignment with business goals. Review and challenge key high-lev