Senior Engineering Manager — Product Marketing Finance

Senior Engineering Manager — Product Marketing Finance

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 Product Marketing Finance organization is seeking a Senior Engineering Manager to lead data, application, and platform engineering teams responsible for building privacy‑first, highly scalable systems that power critical business and financial decisions.

At Apple, we follow a simple but essential belief: focus on the user, and all else will follow.

In this role, you will guide teams that design and operate foundational data platforms, partner closely with executive stakeholders, and translate complex business needs into trusted systems used across the company. This position requires a strong technical foundation, deep people leadership experience, and the ability to operate at executive altitude. You will own end‑to‑end execution of highly visible, privacy‑first platforms used by senior leadership across the company.

You will shape long‑term platform strategy, develope senior leaders, and deliver systems that are foundational to Apple’s operational and financial integrity. You will lead with clarity, operate comfortably in ambiguity, and set a high bar for engineering excellence, reliability, and integrity at Apple scale.

• Lead multiple engineering teams responsible for data engineering, application engineering, and platform capabilities
• Own strategy, architecture, and execution for business‑critical data and AI platforms operating at Apple scale
• Manage and develop engineering managers and senior technical leaders
• Partner closely with finance, product, legal, privacy, and executive leadership on roadmap and priorities
• Deliver trusted metrics and insights used in corporate planning and financial reporting
• Drive platform modernization, cost efficiency, and reliability while supporting rapid growth in data volume and use cases
• Establish strong engineering standards for quality, privacy, security, and operational excellence
• Review and guide complex system designs across batch, streaming, and near real‑time workloads
• Lead hiring, succession planning, and talent development for a growing organization
• Foster a culture of accountability, craftsmanship, and data‑driven decision making
• Translate ambiguous business needs into clear technical direction and execution plans
• Balance near‑term delivery with long‑term platform health and scalability

• 15+ years of experience in software or data engineering
• 8+ years in engineering leadership roles
• Bachelor’s degree in Computer Science, Mathematics, Engineering, or a related technical field

• Track record of delivering large, cross‑functional initiatives
• Deep understanding of data engineering, system design, reliability, and performance at scale
• Experience with modern cloud platforms, data stacks, and CI/CD practices
• Proven ownership of enterprise‑scale data or platform systems supporting critical business workflows
• Strong background in distributed systems, data platforms, and analytics infrastructure
• Experience defining and executing multi‑year platform strategy
• Experience leading managers and senior ICs across multiple teams and geographies
• Strong hiring, coaching, and performance management skills with track record of building high‑performing teams with strong retention and internal growth
• Deep understanding of privacy, security, and regulatory requirements in data systems
• Ability to balance technical depth, delivery, and people leadership
• Excellent verbal and written communication skills with the ability to engage effectively technical and non‑technical partners
• Strong executive presence with demonstrated ability to operate with executive stakeholders, including finance and engineering leadership
• Ability to make sound decisions under pressure while operating effectively in ambiguous environments.
• Master’s degree in Computer Science, Engineering, or a…