Jobs in the United States

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Sr. Engineering Manager, ASE Efficiency

Remote, United States

The base pay range for this role is between $267,800 and $401,700, and your base pay will depend on your skills, qualifications, experience, and location.

Apply on jobs.apple.com About employer

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Job details

Pay: The base pay range for this role is between $267,800 and $401,700, and your base pay will depend on your skills, qualifications, experience, and location.
Experience: 10+ years of software engineering, infrastructure engineering, SRE, capacity engineering, or related technical experience.
Posting language: English
Posted: Nov 12, 2026

Original job description

Summary Apple is seeking a Senior Engineering Manager to lead Demand Management within Apple Services Engineering (ASE) Efficiency group. You will build the engineering team, software platforms, and practices that help large-scale services understand, validate, and optimize infrastructure demand while protecting reliability, performance, and scalability. This is a hands-on leadership role. You will work alongside engineers on service architectures, demand models, forecasting, telemetry, and capacity decisions, and connect technical findings to infrastructure investment priorities.

Description ASE Efficiency is building a closed-loop approach to infrastructure efficiency across three functions: Demand Management, Forecasting, and Foundation. Demand Management connects application and business needs to validated, explainable infrastructure requirements. Your team will partner with service owners to understand architectures, dependencies, workload behavior, product launches, and growth. You will translate these inputs into resource requirements and bills of materials (BOMs) across compute, memory, storage, networking, and shared platforms, accounting for inventory, utilization targets, resilience, and operational risk. You will own the strategy and execution of Demand Management across multiple organizations and lines of business. Working with Forecasting and Foundation, you will connect validated demand to forecasts, trusted telemetry, and planning tools, then use actual utilization and service outcomes to improve future decisions. Your team will make the drivers, assumptions, risks, and tradeoffs behind infrastructure investments clear to engineering and business leaders.

Responsibilities

Define the strategy, technical direction, roadmap, and operating model for Demand Management across ASE Efficiency. Lead and grow an organization of approximately 12 individual contributors and one Engineering Manager. Hire, coach, and develop engineers, managers, and senior technical leaders. Remain technically hands-on through architecture reviews, demand modeling, telemetry analysis, and capacity validation, working through difficult technical problems alongside the team. Establish repeatable methods for translating product launches, customer and usage growth, workload characteristics, and resilience requirements into measurable infrastructure demand. Build scalable software, tooling, and automation for demand capture, validation, BOM definition, inventory visibility, prioritization, and exception handling. Drive adoption across service teams. Ensure demand entering planning and procurement is technically validated, attributable to clear drivers, and supported by explicit assumptions and business and financial context. Partner with Forecasting to separate feature-driven demand, organic growth, and operational uncertainty. Work with Foundation on data quality, telemetry, attribution, and tooling for capacity decisions. Identify capacity risks and drive improvements in application architecture, configuration, resource allocation, and utilization while preserving service reliability and performance. Measure demand accuracy, planning fidelity, utilization, adoption, and efficiency outcomes. Distinguish modeled opportunities from verified capacity reductions and realized financial savings, and feed results back into planning. Partner with Finance, Infrastructure, SRE, procurement, and business teams to align validated demand with funding, supply constraints, and delivery timelines. Communicate portfolio-level investment priorities, tradeoffs, and risks to senior leadership.

Minimum Qualifications 10+ years of software engineering, infrastructure engineering, SRE, capacity engineering, or related technical experience. 5+ years of engineering management experience, including managing managers and/or senior technical leaders, with a track record of hiring, developing, and retaining engineering talent. Experience leading engineering 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, 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.

Preferred Qualifications 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.

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 $267,800 and $401,700, 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.

EEO Statement 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

Accessibility 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

Application Deadline Apple accepts applications to this posting on an ongoing basis.

Apply on jobs.apple.com About employer

More about this job

Skills

Forecasting
Communication skills
Computer science
Kubernetes
Procurement
Machine learning

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Work requirements

Jobs in the United States