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SeniorFull-timeMachine LearningAIML
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a visionary, hands-on Senior Staff Software Engineer to help define and lead the technical strategy for Coinbase's Data Platform. This is a foundational role at the intersection of distributed systems, data engineering, and AI-readiness — and a rare opportunity to build something that matters at the infrastructure level of one of the most important companies in crypto.
Key Responsibilities
- →Define and Drive Technical Strategy: Own the technical strategy and architecture for Data Platform, setting direction across data ingestion, transformation, warehousing, streaming, and serving systems.
- →Develop and execute a multi-quarter roadmap that transitions the team from operational cost-saving toward engineering-led cost reduction.
- →Architect for the AI-Native Future: Redesign data infrastructure to natively support AI and ML workloads.
- →Drive the evolution to near-real-time data availability: Enable downstream teams to act on fresher data across the company.
- →Drive Cross-Functional Alignment: build alignment and secure commitment from senior leadership and cross-functional partners on technical priorities and tradeoffs.
- →Serve as the primary technical voice for Data Platform in org-wide forums including OKR planning, architecture reviews, and long-term infrastructure strategy.
Requirements
- ✓Deep experience building and operating large-scale distributed data infrastructure.
- ✓Strong systems thinking: understand the full data lifecycle and can reason about performance, reliability, cost, security and privacy at each layer.
- ✓Proven experience moving teams from managed-service dependency toward engineering-built, platform-grade infrastructure.
- ✓A platform mindset: think like a product manager for data infrastructure — deeply empathetic to your developer customers, focused on reducing friction, and obsessed with leverage.
- ✓Experience designing data systems that support ML training pipelines, feature stores, real-time inference, or AI agent workloads at scale.
- ✓Proven track record owning the technical strategy and architecture for an entire domain across multiple teams.
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