Define and drive technical strategy and roadmap for Live Sports and Media analytics Provide technical leadership and guidance to the engineering team Collaborate with cross-functional teams to define requirements Architect and deliver highly scalable near real-time analytics systems Partner with peers, quality engineering, SRE to deliver and operate high quality data solutions Constantly measure and improve data quality, system reliability, performance and efficiency Mentoring and developing engineering talent and their growth Represent team vision and roadmap to senior leadership and lead through ambiguity Foster innovation first inclusive engineering culture with strong accountability BS, MS, or PhD in Computer Science, Engineering, or equivalent experience 10+ years of software engineering experience, including 5+ years of leading engineering teams Strong understanding of data engineering principles and best practices Hands-on experience in architecting and delivering large-scale data engineering applications Excellent communication, collaboration, and interpersonal skills, especially in cross-functional settingsPassion for mentoring and developing engineering talent Experience in leading teams through large, open-ended projects with ambiguous requirements Experience in delivering AIML and GenAI engineering projects at scale Experience in building scalable stream analytics systems with one or more of Flink, Spark, Kafka, Iceberg, StarRocks Experience in computer vision, video and audio stream processing with Open CV, VLM, Object Detection and Speech to Text. We are looking for an experienced Software Engineering Manager to lead our Live Sports and Media Analytics team - dedicated for building highly scalable, near real-time systems that process live sports data, video, and audio streams.