Software Engineering Manager, Data Solutions & Initiatives

The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.

We operate in a startup-like environment within Apple's Worldwide Sales organization, where Data Solutions & Initiatives (DSI) drives innovation through product design, engineering, and portfolio management for our internal Apple customers. We move quickly, experiment boldly, and expect our team members to take full ownership of what they deliver.

Description

We are seeking an experienced Software Engineering Manager to lead a high-performing, full-stack engineering team building the internal platforms, data systems, and increasingly AI-driven applications that power critical business decisions across Apple's global sales organization. In this senior leadership role, you will establish operational objectives, drive technical strategy, and deliver high-quality, scalable solutions across a complex and fast-moving environment. You will manage a blended team of full-time engineers and variable workforce - including tech leads who provide functional oversight within their areas - while regularly engaging with senior and executive leadership across multiple functional areas. Your decisions will directly shape the pace and direction of our technology roadmap, and your ability to influence across teams and organizations will be as important as your technical depth.

Responsibilities:

Establish operational objectives, work plans, and delivery milestones across multiple engineering sections; delegate execution to tech leads and senior engineers while maintaining full accountability for outcomes

Define and implement engineering policies, standards, and practices that govern your teams and may have broader effect across related organizations

Drive end-to-end technical strategy and execution across multiple concurrent initiatives, ensuring alignment with organizational priorities and long-term platform goals

Own and manage headcount, budget, and resource plans across your team - including both FTE and variable workforce engagements - ensuring adherence to schedules, cost, and performance requirements

Conduct and contribute to architecture and design reviews, setting the technical bar for quality, scalability, observability, and security

Regularly engage with senior management and executive stakeholders across multiple functional areas and divisions - communicating progress, risks, and strategic direction with clarity and confidence

Navigate complex cross-functional situations with the ability to change perspectives and gain alignment without damaging relationships

Actively recruit, hire, mentor, and grow engineers at all levels - building a culture of ownership, curiosity, and inclusion

Collaborate cross-functionally with product, design, data science, and business stakeholders to translate requirements into robust engineering plans

Champion engineering best practices including CI/CD, test automation, code review standards, and operational readiness

Evaluate and integrate AI-powered tools and approaches to accelerate developer productivity, improve code quality, and enhance the platforms your teams deliver

Partner with peer engineering managers and senior leadership to align technical investments, manage dependencies, and drive platform-wide consistency

Preferred Qualifications

Experience building or managing internal tooling, business platforms, or enterprise-grade applications at scale

Familiarity with cloud-native architecture and modern infrastructure practices (e.g., Kubernetes, containerization, observability stacks, cloud platforms)

Background in data engineering or managing teams building data pipelines, analytics platforms, or reporting infrastructure

Experience working in a high-growth or startup-like environment within a large enterprise organization

Experience building or integrating AI/ML-powered features into production applications (e.g., predictive analytics, intelligent automation, LLM-based tooling)

Track record of leading platform modernization efforts - such as service migrations, API standardization, or developer experience improvements

Experience developing or influencing engineering policies and operational standards with broad organizational impact

Demonstrated ability to influence technical direction and build alignment across peer engineering teams and divisions without formal authority

Passion for building inclusive engineering culture, cultivating psychological safety, and investing in the development of every team member

Minimum Qualifications

8+ years of professional software engineering experience, with hands-on expertise across full-stack development (frontend, backend, and data layers)

4+ years of engineering management experience, with demonstrated success leading and growing teams of 8 or more engineers across multiple workstreams or functional areas

Track record of leading your team's adoption of AI-assisted development practices - setting clear standards for when and how to leverage AI effectively while maintaining engineering rigor

Experience owning and managing team budgets, headcount plans, and resource allocation across both FTE and variable/contractor workforce

Proven track record of establishing operational objectives, setting performance expectations, and holding teams accountable to schedules and quality standards

Deep, practical knowledge of distributed systems design, RESTful APIs, and service-oriented architectures

Experience with relational and NoSQL databases (e.g., PostgreSQL or equivalent)

Strong proficiency in at least two modern programming languages (e.g., Python, JavaScript/TypeScript, Go or equivalent)

Track record of delivering high-quality software in an agile environment using CI/CD, automated testing, and source code management best practices

Demonstrated ability to engage regularly with senior and executive leadership - translating technical strategy into business impact and navigating sensitive cross-functional situations with diplomacy and poise

Experience collaborating with multi-functional teams across product, design, data, and business stakeholders

Bachelor's degree in Computer Science, Computer Engineering or a related technical field, or equivalent practical experience

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 $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.