Engineering Manager, AI Developer Tools

Washington, WA, US • Posted 23 hours ago • Updated 10 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Workflow
  • Team Building
  • Software Development
  • Testing
  • Technical Direction
  • Root Cause Analysis
  • Code Review
  • Microsoft Certified Professional
  • Servers
  • Slack
  • Command-line Interface
  • Management
  • User Research
  • Apache Velocity
  • Leadership
  • Roadmaps
  • Engineering Management
  • Team Leadership
  • Software Engineering
  • Java
  • Python
  • Productivity
  • Continuous Integration
  • Continuous Delivery
  • Database
  • NoSQL
  • Communication
  • Computer Science
  • Prompt Engineering
  • Evaluation
  • Artificial Intelligence
  • Machine Learning (ML)
  • PyTorch
  • TensorFlow
  • LangChain
  • SDK
  • Kubernetes
  • Orchestration
  • Messaging
  • Apache Kafka
  • Microservices
  • Scratch
  • Product Management

Summary

At Apple, we don't 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 confidence.\\n\\nWe're transforming how developers work by weaving intelligent AI capabilities directly into their workflows. We're 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. 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.\n\nYou'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.\n\nYou'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.\n\nThis 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.

1+ years of engineering management experience leading teams building backend systems or developer tools.\n5+ years of hands-on software engineering experience, with strong fundamentals in Java and Python.\nDeep 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.\nExperience defining and using developer productivity metrics (DORA, SPACE, or similar frameworks) to drive measurable improvements.\nTrack record of setting CI/CD policies and infrastructure automation standards for engineering organizations.\nExperience with databases (relational and/or NoSQL) and scalable service architectures.\nExcellent communication skills with the ability to influence across organizational boundaries.\nBS, MS, or PhD in Computer Science/Engineering or equivalent experience.

Passion for developer experience and empathy for building tools that empower other engineers.\nExperience with LLM orchestration patterns, prompt engineering, evaluation frameworks, and responsible AI deployment practices.\nFamiliarity 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 scale.\nExperience with messaging systems (e.g., Kafka) and microservices architectures.\nTrack record of building teams from scratch or through significant growth phases.\nExperience partnering with product management to define tooling strategy and prioritize competing demands across multiple stakeholder teams.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: bd8f7997d81a48a5ab31f9843c27b73
  • Posted 23 hours ago
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