Senior Engineering Manager - Apple Data Platform - Platform Efficiency

Apple Data Platform (ADP) serves as a foundational building block for Apple's Services, Software, and AI/ML ecosystem, providing advanced data governance, compliance, and scalable data management. It delivers a comprehensive suite of capabilities, including batch and real-time data processing, embeddings management, feature stores, lakehouse architecture, data virtualization, and inference-as-a-service. These technologies empower analytics and AI workflows across Apple's ecosystem, enabling seamless integration and innovation across products and services. Leveraging open-source technologies such as Ray, Spark, Flink, and Iceberg across multi-cloud and on-premises environments, ADP powers data-driven intelligence that continuously enhances the customer experience., As a Senior Engineering Manager, you will lead the engineering teams responsible for the unit economics and financial engineering of the ADP. You will be a hands-on technical leader, driving the design and operation of high-performance systems that provide deep visibility, cost attribution, and capacity optimization for massive-scale data and AI workloads.

10+ years of experience building and operating very large-scale data/AI infrastructure in production environments.

3-5+ years of engineering management experience, with a track record of leading technical teams in the infrastructure space.

Hands-on Multi-Cloud Experience: Proven ability to optimize workloads across multiple environments (e.g., AWS, GCP, and on-premises/first-party).

Systems Engineering Background: Strong technical grasp of Kubernetes, Spark, and Ray, with the ability to dive into resource scheduling and platform internals.

Data-Driven Impact: Proven ability to deliver measurable TCO improvements through architectural changes and automated governance.

Education: BS or MS in Computer Science, Electrical Engineering, or a related field.

Preferred Qualifications

Advanced Capacity Modeling: Experience building tools for proactive capacity forecasting in high-growth AI environments.

Deep Profiling Skills: Expertise in identifying resource bottlenecks at the system level (CPU, Memory, I/O) to drive unit cost reduction.

FinOps Implementation: Experience applying FinOps principles to large-scale, multi-tenant container platforms.

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 $228,100 and $342,800, 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.