Senior Engineering Manager, Live Sports and Media Analytics

Apple Services is one of the fastest-growing businesses at Apple, delivering experiences across Apple TV+, Music, App Store, Arcade, Apple Pay, and more. Our Analytics Data Engineering team builds intelligent data systems that power insights across the services.

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. These systems deliver actionable insights that power content production, marketing strategy, advertising, royalty payments, and partner reporting.

At Apple, our people do more than build products — they craft experiences that have reshaped industries. The diversity of our teams and their ideas fuels the innovation behind everything we create, from cutting-edge technology to meaningful environmental initiatives. Come help us make a lasting, positive impact on the world.

## Description

As an engineering leader, you will play a pivotal role in shaping the future of Sports, Media analytics strategy and empowering a group of highly skilled engineers to innovate in this space. You will work closely with peer engineering teams, data scientists, and stakeholders to deeply understand their data needs and deliver innovative, high-impact solutions.

## Minimum qualifications

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 settings

## Preferred qualifications

Passion 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