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Salary: USD 230,265 - 270,900 / annual
Coinbase's Compliance Technology team builds and operates data and detection capabilities that enable the company to meet global BSA/AML and related regulatory obligations at scale. This Senior Staff role is a technical leadership position focused on setting direction for compliance data and control systems.
You will set technical direction for compliance data and control systems within your domain, leading the design, implementation, and operation of large-scale solutions that support global compliance requirements. You'll define and deliver multi-year technical roadmaps aligned with regulatory requirements, business growth, and operational scalability, translating long-term priorities into measurable quarterly outcomes.
Key responsibilities include independently framing ambiguous technical problems and determining approaches that balance control effectiveness, data quality, reliability, customer experience, and operational cost. You'll lead complex cross-functional initiatives across Product, Engineering, Compliance, and Operations, building alignment on technical approaches and driving delivery without relying on reporting-line authority.
You'll serve as a technical expert whose judgment shapes critical architectural decisions across your team and cross-functional partners. You'll raise engineering quality through hands-on development, design reviews, technical documentation, and reusable approaches. You'll partner with Compliance and control owners to translate regulatory and policy requirements into testable technical controls with clear acceptance criteria and evidence of control effectiveness.
Operational ownership includes monitoring, incident response, and remediation of systems within your domain. You'll detect data-quality issues and control degradation, and drive improvements that reduce recurrence. You'll analyze detection outputs and control-performance trends to improve signal quality and operational efficiency, reducing non-actionable noise while validating that changes preserve detection sensitivity.
You'll also partner with Machine Learning/AI and Platform teams to improve compliance capabilities with clear evaluation criteria and ongoing monitoring of production performance, and mentor analytics and data practitioners through technical guidance, reviews, and knowledge sharing.
Coinbase is a remote-first but not remote-only company, with quarterly in-person working sessions called "surges."
**Requirements:**
- At least 10 years of experience developing data-intensive systems, including significant technical leadership in compliance data and control systems
- Deep expertise in compliance data systems, with a track record of being a trusted technical resource whose judgment shapes architectural decisions and resolves critical cross-functional issues
- Demonstrated success independently leading complex technical initiatives from problem definition and design through implementation, rollout, and production operation
- Experience building reliable data pipelines, data models, and multi-tenant compliance controls or systems at scale, with strong practices for data quality, testing, and auditability
- Demonstrated ability to influence technical decisions and align Product, Engineering, Compliance, and Operations stakeholders without formal authority
- Strong technical judgment in balancing regulatory and control requirements with system reliability, customer experience, delivery constraints, and operational efficiency
- Experience evaluating detection or control performance, investigating degradation, and validating improvements to signal quality and effectiveness
- Strong hands-on skills in implementation, code and design review, technical writing, production troubleshooting, and incident leadership
- Ability to connect long-term technical direction with near-term execution, independently determining approaches in ambiguous situations
- Clear communication skills, including the ability to explain complex technical and compliance issues, present trade-offs, and build agreement with technical and nontechnical stakeholders
- Sound judgment in using AI tools, including reviewing outputs and protecting sensitive data
