Engineering Manager — Foundations, Finance Data & Technology

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 theres 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.

In this role you will own the strategy architecture and execution of enterprise 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 (ISu0026T) 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.

Own strategy architecture and execution for the Foundations platform including cloud infrastructure data platforms application frameworks developer tooling and AI/ML 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 as the primary engineering point of contact with ISu0026T and other engineering organizations negotiating shared standards integration points and platform with business-facing delivery pods finance leadership security privacy and legal to align the platform roadmap with enterprise and develop a team of engineering managers architects and senior technical leads; build clear career paths and succession engineering standards architectural principles and reference patterns that raise the bar on quality reliability and security across all consuming and report platform health metrics including adoption developer productivity deployment velocity and reliability to executive platform modernization and cost efficiency while scaling to support rapid growth in data volume AI use cases and consuming platform strategy and trade-offs clearly to both technical teams and non-technical business partners building trust and alignment across the near-term delivery pressure with long-term investment in platform health governance and scalability.

10 years of software engineering experiencen3 years leading managers and senior technical leaders across multiple teamsnBachelors degree in Computer Science Statistics Engineering or equivalent practical experience

12 years of software engineering experience with 6 years leading managers and senior technical leaders across multiple supporting Finance Corporate Systems Enterprise Analytics or high-throughput data building developer platforms used by hundreds of engineers in large complex enterprise to open-source platform tooling or enterprise AI 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 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 expertise in cloud-native architectures distributed systems APIs and modern data platforms at record building and operating large-scale platform engineering organizations used by hundreds of success driving engineering transformation and organizational change across multiple teams and executive presence with proven ability to influence and align senior stakeholders across engineering finance ISu0026T security and written and verbal communication skills; able to translate ambiguous cross-organizational goals into clear technical direction for both technical and non-technical hiring coaching and performance management skills with a track record of developing managers and senior ICs and retaining top making sound decisions under pressure and operating effectively in or PhD in Computer Science Statistics Engineering or equivalent practical experience.