Engineering Manager, AI Developer Tools

Apple • Seattle, WA

7h

About The Position

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. You'll hire, develop, and lead engineers
who design and ship intelligent agents that transform the software development
lifecycle — from initial development through testing, deployment, and beyond.
You'll 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 Apple.
You'll 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 team's work will make AI capabilities a seamless,
integrated part of how developers build services at Apple. This role requires
both hands-on technical depth in agentic AI systems and proven leadership in
building high-performing engineering teams. You'll partner with project
managers, peer engineering leaders, and senior stakeholders to align your team's
roadmap with organizational priorities while maintaining the autonomy to make
bold technical bets.

Requirements

• 1+ years of engineering management experience leading teams building backend systems or developer tools.
• 5+ years of hands-on software engineering experience, with strong fundamentals in Java and Python.
• Deep 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 decisions.
• Experience defining and using developer productivity metrics (DORA, SPACE, or similar frameworks) to drive measurable improvements.
• Track record of setting CI/CD policies and infrastructure automation standards for engineering organizations.
• Experience with databases (relational and/or NoSQL) and scalable service architectures.
• Excellent communication skills with the ability to influence across organizational boundaries.
• BS, MS, or PhD in Computer Science/Engineering or equivalent experience.

Nice To Haves

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

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees