About The Position

Apple is seeking a deeply experienced software engineering manager to lead and grow an engineering organization building agentic systems and developer experiences for Private Cloud Compute inference and agentic services. The team develops server software powering Apple Intelligence, at the intersection of cloud services, machine learning, software experiences, and Apple silicon. The role leads the design of core agentic architecture, integration of cloud services, and development of developer tooling. The manager partners with leaders across software experiences, ML research, hardware, system software, security, privacy, and SRE to define technical strategy and deliver production-grade cloud systems. Responsibilities include guiding complex architecture decisions, shaping organizational culture, driving engineering excellence, and scaling prototypes into foundational production systems. The successful candidate will build and manage an inclusive, high-performing engineering organization; establish the technical roadmap for agentic workflows and developer experience; and lead complex, multi-year projects from end to end. They will promote reliable, scalable, efficient cloud systems, champion generative AI tools and agentic workflows across Apple’s software organization, resolve cross-functional bottlenecks, communicate with executive leadership, and ensure secure-by-design and privacy-by-design practices.

Requirements

  • 10+ years of engineering management experience, with a proven track record delivering complex, large-scale engineering projects across multiple teams or organizations.
  • Strong foundation in software engineering, distributed systems, and cloud infrastructure, with the ability to engage deeply with system design trade-offs.
  • Demonstrated experience building and scaling developer tools, ML infrastructure, or AI systems from concept to production.
  • Exceptional communication and interpersonal skills, high emotional intelligence, and ability to influence from executive partners to individual contributors.
  • Ability to operate effectively amid ambiguity and rapidly shifting priorities while maintaining trust and execution discipline.
  • Bachelor’s degree, master’s degree, or equivalent professional experience in Computer Science, Computer Engineering, or a related field.
  • Strong working proficiency and conceptual understanding of generative AI, foundation models, and agentic workflows, with hands-on experience bringing AI systems to production at scale.
  • Experience leading organizations through significant growth or technical transformation, including evolving team structures to meet scaling demands.
  • Strong analytical and data-driven mindset, with interest in software evaluation and using metrics to drive product and architectural decisions.

Nice To Haves

  • Experience with Private Cloud Compute, on-device/cloud ML inference pipelines, or Apple silicon-adjacent infrastructure.
  • Familiarity with secure-by-design and privacy-by-design principles as applied to cloud-based AI services.

Responsibilities

  • Build, mentor, and manage an inclusive organization of high-performing engineers.
  • Foster talent, drive hiring and onboarding, manage performance, and prioritize team health and growth paths.
  • Define the strategic vision and technical roadmap for agentic workflows and developer experience.
  • Drive complex, multi-year projects end to end, balancing rapid iteration with long-term architectural stability.
  • Partner with cross-functional product and cloud teams to deliver seamless, secure, and delightful AI experiences.
  • Promote engineering excellence and build for scale and performance, emphasizing reliability, scalable cloud architecture, observability, throughput and latency, cost efficiency, and robust evaluation metrics.
  • Champion adoption of generative AI tools and agentic workflows across the broader software organization to improve developer productivity and software quality.
  • Anticipate problems, resolve cross-functional bottlenecks, and present the team’s work to executive leadership to advocate for resources and technical direction.
  • Champion security and privacy of user content and ensure secure-by-design and privacy-by-design principles are applied in architecture and delivery.
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