Sr. Engineering Manager, ASE Efficiency

Apple•Cupertino, CA

About The Position

Apple is seeking a Senior Engineering Manager to lead Demand Management within the Apple Services Engineering (ASE) Efficiency group. This hands-on leadership role builds the engineering team, software platforms, and practices that enable large-scale services to understand, validate, and optimize infrastructure demand while protecting reliability, performance, and scalability. The manager works alongside engineers on service architectures, demand models, forecasting, telemetry, and capacity decisions, and connects technical findings to infrastructure investment priorities. ASE Efficiency is developing a closed-loop approach to infrastructure efficiency across Demand Management, Forecasting, and Foundation. Demand Management connects application and business needs to validated, explainable infrastructure requirements. The team partners with service owners to understand architectures, dependencies, workload behavior, product launches, and growth, then translates those inputs into resource requirements and bills of materials across compute, memory, storage, networking, and shared platforms. Planning accounts for inventory, utilization targets, resilience, and operational risk. The manager owns Demand Management strategy and execution across multiple organizations and lines of business. In collaboration with Forecasting and Foundation, the team connects validated demand to forecasts, trusted telemetry, and planning tools, and uses actual utilization and service outcomes to improve future decisions. The team makes the drivers, assumptions, risks, and tradeoffs behind infrastructure investments clear to engineering and business leaders.

Requirements

10 or more years of software engineering, infrastructure engineering, SRE, capacity engineering, or related technical experience.
5 or more years of engineering management experience, including managing managers and/or senior technical leaders.
Track record of hiring, developing, and retaining engineering talent.
Experience leading teams responsible for large-scale distributed systems, cloud infrastructure, platform engineering, or infrastructure management.
Strong software engineering background and experience building or operating production systems, platforms, tooling, or automation used by multiple engineering organizations.
Ability to reason deeply about application architectures and distributed systems across compute, memory, storage, networking, databases, and containerized environments, and connect workload behavior to infrastructure requirements.
Strong analytical judgment and experience using telemetry, utilization, and performance data to validate requirements and guide engineering decisions.
Demonstrated ability to set technical strategy, establish engineering standards, and drive adoption across organizational boundaries.
Excellent written and verbal communication skills, with experience influencing senior engineering, infrastructure, finance, and business stakeholders and explaining technical and financial tradeoffs.
Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.

Nice To Haves

Experience leading capacity management, infrastructure efficiency, performance engineering, demand forecasting, FinOps, or resource management teams.
Experience connecting product roadmaps, feature launches, customer growth, and business forecasts to infrastructure planning for large-scale consumer or cloud services.
Experience developing capacity modeling, forecasting, automated sizing, optimization, or infrastructure intelligence platforms.
Experience with Kubernetes, distributed data systems, storage platforms, traffic management, or observability systems, including data quality and attribution across shared infrastructure.
Understanding of infrastructure economics and supply chains, including capital investment, cloud spend, cost attribution, procurement, hardware deployment, and data center constraints.
Experience applying machine learning, GenAI, or LLM-assisted tooling to infrastructure analysis, automation, forecasting, or engineering productivity.

Responsibilities

Lead Demand Management within Apple Services Engineering’s Efficiency group.
Build and develop the engineering team, software platforms, and practices for understanding, validating, and optimizing infrastructure demand.
Work alongside engineers on service architectures, demand models, forecasting, telemetry, and capacity decisions.
Partner with service owners to understand architectures, dependencies, workload behavior, product launches, and growth.
Translate application and business inputs into infrastructure resource requirements and bills of materials across compute, memory, storage, networking, and shared platforms.
Account for inventory, utilization targets, resilience, and operational risk in infrastructure planning.
Own Demand Management strategy and execution across multiple organizations and lines of business.
Work with Forecasting and Foundation to connect validated demand to forecasts, trusted telemetry, and planning tools.
Use actual utilization and service outcomes to improve future infrastructure decisions.
Make the drivers, assumptions, risks, and tradeoffs behind infrastructure investments clear to engineering and business leaders.
Set technical strategy and engineering standards, and drive their adoption across organizational boundaries.
Hire, develop, and retain engineering talent.