Group Product Manager, Core Infra and Reliability

Responsibilities

• Own the product vision, strategy, and multi-year roadmap for Core Infrastructure, spanning compute, networking, multi-region and multi-cloud architecture, and platform reliability.
• Drive infrastructure reliability and resilience programs, defining and tracking platform-level SLOs, capacity planning, failover capabilities, and incident reduction targets.
• Lead evaluation and adoption of cloud infrastructure technologies (Kubernetes, service mesh, distributed storage, observability, infrastructure-as-code), making informed build-vs.-buy decisions.
• Partner with Engineering, SRE, Security, and Finance to align infrastructure investments with business priorities, optimize cloud spend, and ensure infrastructure services meet regulatory and compliance requirements.
• Shape how Coinbase's product and engineering teams consume infrastructure by building self-serve capabilities, defining service standards, and reducing the overhead required for teams to deploy and operate reliable services at scale.
• Deepen understanding of infrastructure performance and cost dynamics by analyzing utilization patterns, identifying the highest-leverage optimization opportunities, and translating infrastructure metrics into executive-level investment cases.

Requirements

• 10+ years of product management experience, with significant experience owning strategy for cloud infrastructure, platform engineering, or infrastructure reliability at scale.
• Track record of defining and executing multi-year infrastructure platform strategies that delivered measurable improvements in reliability, cost efficiency, or engineering velocity.
• Technical depth to engage with engineers on compute, networking, storage, Kubernetes, multi-cloud architecture, and distributed systems design.
• Demonstrated ability to lead complex, cross-functional initiatives across engineering, SRE, security, and finance in regulated, high-trust environments.
• Proven ability to articulate complex infrastructure strategy, cost tradeoffs, and long-term platform bets 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.