Engineering Manager, AI Developer Tools

At Apple we dont just build products we craft experiences that redefine entire ecosystems. The Developer Experience team delivers the essential tools and systems that empower hundreds of engineering teams across Apple to build and deploy services with speed efficiency and transforming how developers work by weaving intelligent AI capabilities directly into their workflows. Were looking for a technical leader who can build and lead the team making this vision real someone who lives at the intersection of AI agent development developer productivity measurement and engineering excellence.

The Developer Experience team is seeking an Engineering Manager to lead a team building the next generation of AI-powered developer tooling that hundreds of Apple engineering teams rely on daily. Youll hire develop and lead engineers who design and ship intelligent agents that transform the software development lifecycle from initial development through testing deployment and set the technical direction for a portfolio of AI-powered products: coding agents root cause analysis agents deployment agents code review agents MCP servers Slack integrations CLI tools and APIs that serve both human developers and autonomous systems. Your team will build production-grade AI capabilities measure their impact through DORA and SPACE metrics and iterate based on direct user research with engineering teams across set CI/CD policies and standards that balance velocity with safety working with cross-functional partners to establish guardrails for AI-assisted deployments at scale. Your teams work will make AI capabilities a seamless integrated part of how developers build services at role requires both hands-on technical depth in agentic AI systems and proven leadership in building high-performing engineering teams. Youll partner with project managers peer engineering leaders and senior stakeholders to align your teams roadmap with organizational priorities while maintaining the autonomy to make bold technical bets.

- Build lead and develop a team of engineers who ship AI-powered developer tools planning agents coding agents testing agents deployment agents operations agents and the APIs and integrations that hundreds of engineering teams depend on daily.n- Define and track DORA metrics (deployment frequency lead time change failure rate MTTR) and SPACE metrics (satisfaction performance activity communication efficiency) to measure and improve developer productivity across Apple.n- Set CI/CD policies and standards for AI-assisted development workflows balancing deployment velocity with safety and compliance requirements.n- Drive technical strategy for scalable backend services and APIs in Java and Python that support developer efficiency workflows across Apple.n- Conduct user research with engineering teams to identify pain points validate solutions and prioritize the roadmap based on measured developer impact.n- Evolve platform architectures for reliability maintainability and performance at scale making build-vs-buy decisions and managing technical debt.n- Establish engineering excellence standards code review practices testing strategies operational readiness and foster a culture of quality and continuous improvement.n- Recruit mentor and retain top engineering talent with expertise in AI agent development and developer tooling.

1 years of engineering management experience leading teams building backend systems or developer tools.n5 years of recent hands-on software engineering experience with strong fundamentals in Java and familiarity with AI agent frameworks and patterns LangChain Claude Agent SDK Pydantic AI or equivalent with the ability to evaluate architectural tradeoffs and guide implementation defining and using developer productivity metrics (DORA SPACE or similar frameworks) to drive measurable record of setting CI/CD policies and infrastructure automation standards for engineering with databases (relational and/or NoSQL) and scalable service communication skills with the ability to influence across organizational MS or PhD in Computer Science/Engineering or equivalent experience.

Passion for developer experience and empathy for building tools that empower other with LLM orchestration patterns prompt engineering evaluation frameworks and responsible AI deployment with AI/ML frameworks (e.g. PyTorch TensorFlow) and LLM libraries (e.g. LangChain Hugging Face Anthropic SDK).nExperience with Kubernetes for container orchestration and deployment at with messaging systems (e.g. Kafka) and microservices record of building teams from scratch or through significant growth partnering with product management to define tooling strategy and prioritize competing demands across multiple stakeholder teams.