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 to 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.

Responsibilities

• 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

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

Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $195,700 and $338,400, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple's workplace. Learn about reasonable accommodations for job applicants. Apple accepts applications to this posting on an ongoing basis.