Senior Engineering Manager - Apple Data Platform - Platform Efficiency

Apple

Apple

Software Engineering, Other Engineering

Cupertino, CA, USA

Posted on Apr 20, 2026
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. Your mission is to ensure that our global footprint spanning first-party data centers and multiple public clouds (AWS, GCP, etc.) is as economically efficient as it is technically performant. You will bridge the gap between infrastructure engineering and operational accountability, translating complex resource consumption patterns into optimized platform configurations at Apple scale.
  • Drive capacity and financial engineering execution:
  • Multi-Cloud Implementation: Execute efficiency strategies across first-party and public cloud environments, ensuring technical alignment between varying resource models and hardware availability.
  • Attribution Engine Ownership: Lead the development and scaling of systems that provide granular cost attribution and "showback" for diverse workloads (Spark, Streaming, Ray).
  • Capacity Planning: Build predictive models for infrastructure growth and manage the technical execution of capacity expansions to minimize idle waste.
  • Unit Economics Delivery: Establish and track "cost-per-workload" metrics, providing direct technical guidance to product teams on optimizing their infrastructure footprint.
  • Architect observability and governance platforms:
  • Automated Right-Sizing: Direct the engineering of orchestration layers that manage resource lifecycles and automated right-sizing across first-party and public cloud environments.
  • Incident & Anomaly Response: Lead the technical response to resource spikes or efficiency regressions, ensuring rapid remediation in production.
  • Metadata & Tagging Standards: Define and enforce technical frameworks for resource tagging and multi-tenant isolation to ensure 100% usage transparency.
  • Collaborate across the organization:
  • Technical Consulting: Act as a subject matter expert for platform customers (Data Engineers, ML Researchers) to resolve complex efficiency bottlenecks.
  • Hardware Alignment: Partner with internal capacity teams and external providers to evaluate and adopt new instance types and hardware configurations that match Apple’s specific workload patterns.
  • Lead and develop engineering teams:
  • Direct Management: Manage and mentor a team of managers and/or high-level individual contributors, fostering deep technical expertise in systems efficiency.
  • Execution Roadmap: Define 6–12 month technical roadmaps that deliver measurable efficiency gains while supporting high-velocity AI and Data development.
  • 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.
  • 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.

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.

Apple accepts applications to this posting on an ongoing basis.

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