Engineering Manager - Real-Time Market Data (Remote-First)

Coinbase; San Francisco (CA); Hybrid; USD 219,000 - 257,000; Full time

Job summary

Coinbase is seeking an Engineering Manager to lead the Market Data & Analytics team within the Institutional product group. You will guide real-time data platforms powering trading systems and drive architectural decisions at scale.

You'll manage a team of 5-10 engineers, partner with product and cross-functional teams, and champion data accuracy, low latency, and operational excellence in a fast-paced, remote-first environment with quarterly in-person surges.

Qualifications

• 8+ years of software engineering experience.
• 3+ years managing engineering teams.
• Experience with high-throughput, low-latency distributed systems.
• Experience delivering real-time data or financial infrastructure systems.

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 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.

Skills

Team leadership

System design

Backend engineering

Data streaming

Communication

Tools

Java

Kotlin

Go

C++

Job description

Coinbase is seeking an Engineering Manager to lead the Market Data & Analytics team within the Institutional product group. You will guide real-time data platforms powering trading systems and drive architectural decisions at scale.

You'll manage a team of 5-10 engineers, partner with product and cross-functional teams, and champion data accuracy, low latency, and operational excellence in a fast-paced, remote-first environment with quarterly in-person surges.