Member of Technical Staff, Developer Experience Engineering Manager (AI)

TL;DR

Member of Technical Staff, Developer Experience Engineering Manager (AI): Define vision and strategy for developer productivity platforms powering large-scale AI research, including monorepo, CI/CD, build systems, and developer environments with an accent on engineering velocity and reliability at supercomputing scale. Focus on driving step-function improvements in PR lead times, build performance, CI reliability, and adoption of agentic AI workflows across the engineering lifecycle.

Mountain View, United States

USD $163,000 – $296,400 per year (USD $220,800 – $331,200 in San Francisco Bay Area and New York City)

Company

hirify.global Superintelligence team building foundational systems for frontier AI workloads serving hundreds of engineers and researchers.

What you will do

• Own and evolve end-to-end DevEx platform: monorepo strategy, CI/CD reliability, build optimizations, and developer environments.
• Drive improvements in engineering velocity by reducing PR lead times, build times, and increasing CI reliability.
• Establish standards for code quality, testing, and release practices.
• Lead adoption of agentic AI workflows in coding, testing, debugging, and operations.
• Build and lead high-performing team, set technical direction, and partner with infrastructure, ML, and research teams.
• Operate with metrics for productivity, reliability, and developer satisfaction.

Requirements

• Bachelor’s Degree in Computer Science or related AND 8+ years technical engineering experience (C, C++, C#, Java, JavaScript, Python) OR equivalent.
• 5+ years managing engineering teams AND 5+ years 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) and driving organizational change.

Nice to have

• Strong systems thinking across performance, reliability, and developer workflows.
• Experience balancing speed, reliability, and standardization.
• Familiarity with AI/ML workflows, training systems, and integrating AI tools into development.
• Experience with Bazel, large-scale monorepos, or high-performance compute environments.

Culture & Benefits

• High-performing team environment with clear goals, metrics, and accountability.
• Cross-functional collaboration with infrastructure, ML, and research teams.
• Comprehensive benefits and compensation; additional details at careers.hirify.global.com.