Engineering Manager, Market Data & Analytics

Coinbase is a cryptocurrency and financial technology company focused on increasing economic freedom. The Engineering Manager will lead the Market Data & Analytics team in building and scaling real-time market data and analytics systems that support trading, risk, clearing, institutional clients, and exchange services. The role oversees technical strategy, team development, cross-functional delivery, and system accuracy, reliability, and performance.

Responsibilities:

• Own the technical roadmap for market data and analytics domain, aligning priorities with Institutional product goals and driving execution from planning through delivery
• Lead and grow a team of 5-10 engineers through hands-on coaching, career development, and a high bar for technical excellence
• Partner with Product, Design, and cross-functional engineering teams (Exchange, Derivatives, Prime, Risk) to scope, sequence, and ship features that expand Coinbase's market data and analytics capabilities
• Drive data accuracy, reliability, and performance, ensuring index pricing and market data feeds meet strict correctness, latency, and uptime requirements at scale
• Shape engineering culture and hiring for your team, building a pipeline of exceptional talent and maintaining high standards for code quality and operational rigor

Requirements:

• 8+ years of software engineering experience, including 3+ years managing engineering teams building high-throughput, low-latency distributed systems
• Proven track record delivering real-time data, market data, or financial infrastructure systems processing high volumes with strict accuracy and reliability requirements
• Deep technical fluency in systems design, streaming/data pipelines, and at least one backend language (e.g., Java, Kotlin, Go, C++) sufficient to guide architecture decisions and unblock your team
• Demonstrated success hiring, developing, and retaining senior engineers, with measurable outcomes in team growth and retention
• Experience partnering with Product and business stakeholders to translate complex requirements into clear engineering plans with well-defined milestones
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality