Coinbase
Engineering Manager, FinHub - Financial Intelligence (Platform)
Lead a six-engineer team rebuilding the account and transaction history platform behind Coinbase's financial products, plus internal developer tooling.
Captured October 2026Still open as of Oct 11, 2026 ↗
The role
This engineering manager leads a team inside the Platform group's FinHub organization, specifically the Financial Intelligence unit. The team owns the core account primitive, real-time transaction history, and internal developer tooling. The role centers on re-architecting these systems to support upcoming product lines and higher traffic volumes.
What you would do
- Manage and develop a six-person engineering group spanning several seniority levels
- Lead re-architecture of account and history services to handle future scale and new product primitives
- Set the roadmap for internal tooling such as dashboards, interfaces, and automated agent workflows for engineering and operations
- Guide architecture choices across distributed systems, event streams, and full-stack tooling, and run design reviews
- Work with product, finance, and engineering leaders to plan quarterly goals and break large efforts into shippable stages
- Help recruit engineers and oversee quality practices including service-level commitments, incident handling, and on-call rotations
What they asked for
- At least seven years of software engineering experience, including two or more years managing engineers
- Track record of building and running large-scale distributed systems in production
- Able to review code, lead incident response, and debug production issues directly when needed
- Experience turning vague, long-range technical challenges into concrete plans with measurable checkpoints
- Background in financial systems, event-driven designs, or precision transaction processing where accuracy is critical
- Comfortable across backend services, streaming pipelines, and full-stack tools, with care for developer and operator experience
Nice to have
- Responsible, human-supervised use of generative AI to improve workflow speed, cost, and output quality
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