Group Product Manager, Developer Infrastructure

What you’ll do

• Own the end-to-end product roadmap and success metrics for Developer Infrastructure, including CI/CD pipelines, release automation, testing infrastructure, deployment systems, and production readiness standards.
• Drive a continuous simplification agenda by leading regular systems migrations that reduce complexity, improve reliability, and make the platform easier for engineers to adopt and use effectively.
• Build quality scorecards and leaderboards for production systems across Coinbase, ensuring all systems meet defined standards with executive-level visibility and accountability.
• Partner with Engineering, SRE, Security, and infrastructure leadership to ensure developer lifecycle systems are reliable, performant, secure, and scalable.
• Deepen understanding of internal customer needs by analyzing usage patterns, gathering feedback from Coinbase's engineering population, and translating insights into prioritized, high-impact investments.
• Shape the integration of emerging technologies, including AI-powered testing, validation, and deployment capabilities, into the code lifecycle without compromising quality or safety.

Required Skills and Experience

• 10+ years of product management experience, with significant experience in developer infrastructure, developer productivity, engineering platforms, or internal tools.
• Deep domain expertise across the code lifecycle: CI/CD, build systems, testing infrastructure, release automation, deployment pipelines, and production readiness, with demonstrated fluency in DORA metrics.
• Track record of defining and executing multi-year platform strategies that delivered measurable improvements to developer velocity, reliability, and quality.
• Experience building products where engineers are the primary customer, with demonstrated ability to drive adoption and engagement across an engineering organization without a mandate.
• Proven ability to articulate complex infrastructure strategy, quality tradeoffs, and investment cases to senior and executive leadership.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.