Engineering Manager - Foundations, Finance Data & Technology

Apple Inc.; Cupertino (CA); On-site; USD 238,000 - 356,000; Full time

Benefits offered by this job

Stock programs

Relocation support

Educational reimbursement

Medical and dental coverage

Job summary

Apple Inc. is seeking an Engineering Manager for Foundations within Finance Data & Technology in Cupertino, CA.

You will own strategy, architecture, and execution for enterprise platforms spanning cloud infrastructure, data services, AI capabilities, and developer tooling, with a focus on scalable, secure, and compliant solutions. You will lead and grow a team of managers and senior engineers, partner with IS&T, security, privacy, and legal, and set standards for reusable platform components

Qualifications

• 10+ years of software engineering experience.
• 3+ years leading managers and senior technical leaders across multiple teams.
• Bachelor's degree in Computer Science, Statistics, Engineering, or equivalent practical experience.
• Preferred: 12+ years of software engineering with 6+ years leading managers and senior engineers.
• Experience in Finance, Corporate Systems, Enterprise Analytics, or high‑throughput data platforms.

Responsibilities

• Own strategy, architecture, and execution for the Foundations platform, including cloud infrastructure, data platforms, application frameworks, developer tooling, and AI/ML services.
• Lead the build‑out of production‑grade agentic AI and GenAI capabilities as reusable enterprise assets.
• Serve as the primary engineering point of contact with IS&T and other engineering organizations.
• Partner with business‑facing delivery pods, finance leadership, security, privacy, and legal to align the platform roadmap with enterprise priorities.
• Manage and develop a team of engineering managers, architects, and senior technical leads; build clear career paths and succession plans.
• Establish engineering standards, architectural principles, and reference patterns that raise the bar on quality, reliability, and security across all consuming teams.
• Define and report platform health metrics to executive stakeholders.
• Drive platform modernization and cost efficiency while scaling for growth in data and AI use cases.
• Communicate platform strategy clearly to technical and non‑technical audiences, building trust across the organization.
• Balance near‑term delivery with long‑term investment in platform health and governance.

Skills

Executive presence

Communication skills

Hiring & coaching

Education

Bachelor's degree in CS/Engineering/Statistics

MS or PhD in CS/Statistics/Engineering

Tools

Cloud platforms

APIs

AI frameworks

Job description

Engineering Manager — Foundations, Finance Data & Technology

Cupertino, California, United States Corporate Functions

Imagine what you could do here. At Apple, new ideas quickly become platforms and capabilities that shape how the company operates at global scale. Bring passion, technical depth, and strong leadership, and there's no limit to the impact you can have. The Finance Data and Technology (FDT) organization is seeking a Senior Engineering Manager to lead our Foundations team — the engineering force multiplier for every business-facing product and delivery pod across Finance. This team builds the shared platforms, frameworks, data services, and AI capabilities that let other teams move fast without sacrificing security, scale, or reliability.

Description

In this role, you will own the strategy, architecture, and execution of finance platforms spanning cloud infrastructure, data, application frameworks, and AI. You will bring proven, hands‑on experience taking agentic AI systems from prototype to production, ideally in a finance or highly regulated setting, and you will use that experience to set the standard for how Finance adopts AI responsibly and at scale. You will operate at executive altitude, partnering closely with Enterprise IT (IS&T), security, privacy, and business-facing engineering leaders to align investment and priorities. You will lead with clarity, operate comfortably in ambiguity, and build a team that treats reusable platforms, not one-off projects, as the default way of working.

Responsibilities

• Own strategy, architecture, and execution for the Foundations platform, including cloud infrastructure, data platforms, application frameworks, developer tooling, and AI/ML services.
• Lead the build‑out of production‑grade agentic AI and GenAI capabilities as reusable enterprise assets, not isolated pilots, including model lifecycle management, evaluation pipelines, observability, and responsible AI governance.
• Serve as the primary engineering point of contact with IS&T and other engineering organizations, negotiating shared standards, integration points, and platform dependencies.
• Partner with business‑facing delivery pods, finance leadership, security, privacy, and legal to align the platform roadmap with enterprise priorities.
• Manage and develop a team of engineering managers, architects, and senior technical leads; build clear career paths and succession plans.
• Establish engineering standards, architectural principles, and reference patterns that raise the bar on quality, reliability, and security across all consuming teams.
• Define and report platform health metrics, including adoption, developer productivity, deployment velocity, and reliability, to executive stakeholders.
• Drive platform modernization and cost efficiency while scaling to support rapid growth in data volume, AI use cases, and consuming teams.
• Communicate platform strategy and trade‑offs clearly to both technical teams and non‑technical business partners, building trust and alignment across the organization.
• Balance near‑term delivery pressure with long‑term investment in platform health, governance, and scalability.

Minimum Qualifications

• 10+ years of software engineering experience
• 3+ years leading managers and senior technical leaders across multiple teams
• Bachelors degree in Computer Science, Statistics, Engineering, or equivalent practical experience

Preferred Qualifications

• 12+ years of software engineering experience, with 6+ years leading managers and senior technical leaders across multiple teams.
• Background supporting Finance, Corporate Systems, Enterprise Analytics, or high‑throughput data platforms.
• Experience building developer platforms used by hundreds of engineers in large, complex enterprise environments.
• Contributions to open‑source platform tooling or enterprise AI frameworks.
• Direct, hands‑on experience designing and shipping an agentic AI solution into production — able to speak concretely to the architecture, evaluation approach, guardrails, and business outcome; finance or other regulated‑industry deployment strongly preferred.
• Working knowledge of agent orchestration, RAG/semantic retrieval, knowledge graphs, prompt and evaluation frameworks, and model governance sufficient to review designs and make build‑vs‑buy calls.
• Deep expertise in cloud‑native architectures, distributed systems, APIs, and modern data platforms at scale.
• Track record building and operating large‑scale platform engineering organizations used by hundreds of engineers.
• Demonstrated success driving engineering transformation and organizational change across multiple teams and functions.
• Strong executive presence, with proven ability to influence and align senior stakeholders across engineering, finance, IS&T, security, and privacy.
• Excellent written and verbal communication skills; able to translate ambiguous, cross‑organizational goals into clear technical direction for both technical and non‑technical audiences.
• Strong hiring, coaching, and performance management skills, with a track record of developing managers and senior ICs and retaining top talent.
• Comfortable making sound decisions under pressure and operating effectively in ambiguity.
• MS or PhD in Computer Science, Statistics, Engineering, or equivalent practical experience.

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 $237,600 and $356,400, 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.