Developer Experience Engineering Manager
About The Position
We are looking for a senior technical leader to transform developer experience for large-scale AI Research. This team owns the foundational systems that power engineering velocity: monorepo, CI/CD, build systems, developer environments, and onboarding—serving hundreds of engineers and researchers working on frontier AI workloads. As a Member of Technical Staff, Developer Experience Engineering Manager you will define the vision and strategy for developer productivity at supercomputing scale, build and lead a high-performing organization, and drive AI-first development practices that fundamentally improve how software is built, tested, and deployed.
Requirements
- Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
- 5+ years managing high performing engineering teams AND 5+ years of experience as Software Engineer.
- Deep expertise in build systems (e.g., Bazel), CI/CD, and monorepo management
- Proven track record improving developer productivity at scale (hundreds+ engineers) with experience driving organizational change and adoption of new practices/tools
Nice To Haves
- Strong systems thinking across performance, reliability, and developer workflows
- Ability to balance speed, reliability, and standardization in a fast-moving environment
- Effective cross-functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offs.
- Familiarity with AI/ML development workflows and training systems
- Experience integrating AI tools into software development workflows
- Experience with Bazel or large-scale monorepos
- Background in high-performance or large-scale compute environments
Responsibilities
- Own and evolve E2E DevEx Platform: monorepo strategy and governance, CI/CD systems and reliability, Build systems and performance optimizations, Developer environments
- Drive step-function improvements in engineering velocity by reducing PR lead time and build times, increasing CI reliability and improving developer trust
- Establish standards and guardrails for code quality, testing, and release practices
- Lead adoption of agentic AI workflows across the engineering lifecycle (coding, testing, debugging, ops)
- Build and lead a high-performing team, set technical direction and execution standards, drive accountability through clear goals and metrics
- Partner with infrastructure, ML, and research teams to remove friction in training and experimentation workflows
- Operate with clear metrics and accountability for productivity, reliability, and developer satisfaction
Benefits
- Certain roles may be eligible for benefits and other compensation.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
