Coinbase

Full-stack Engineer

• Design, build, and operate core developer-infrastructure services — spanning CI and build systems, deployment orchestration, and test infrastructure — that are fast, reliable, and secure by default at Coinbase scale
• Drive measurable improvements to the metrics every engineer feels: build and CI wall time, deploy speed and safety, and test feedback time and flakiness
• Own your services end to end, including SLOs, observability, and on-call
• Partner closely with engineering teams across Coinbase (your customers) to understand pain points and turn them into platform improvements
• Lead technical design for ambitious, cross-cutting projects and see them through to production
• Act as a force multiplier by mentoring engineers and shaping the technical direction of the platform

Senior Software Engineer, Developer Infrastructure

• Define Solana Staking Strategy
• Maximize Validator Performance
• Own Protocol Expertise
• Drive Cross-Product Integration
• Build External Presence & Influence
• Lead Technical Execution
• Expand Beyond Staking
• Mentor and Scale the Team

Staff Software Engineer, Solana Staking Protocol

• Design and implement Agentic AI systems that power Coinbase’s customer support experience and compliance processes
• Design a platform (primitives, orchestration platform, tools, etc.) that would allow other domains to quickly leverage Agentic AI to automate their processes
• Interact with stakeholders in many different organizations that build Coinbase products or are responsible for financial operations
• Participate in shaping of the strategy and execution path of Coinbase Platform
• Manage individual projects priorities, deadlines and deliverables with your technical expertise
• Mentor and train other team members on design techniques and coding standards
• Write high quality, well tested code to meet the needs of your customers

Senior Staff Software Engineer, Core Automation

Backend Engineer

• Own the end-to-end technical architecture of Coinbase's Risk Platform, including real-time fraud detection engines, risk decisioning systems, financial risk monitoring, and mitigation infrastructure operating at high throughput with low latency and 24x7 availability
• Shape multi-quarter technical strategies for the Risk Platform, identifying opportunities to simplify complexity, improve reliability, reduce fraud losses, and scale risk capabilities across new products, asset classes, and jurisdictions
• Lead the design and implementation of critical risk systems, translating ambiguous, high-stakes business requirements into scalable, resilient architectures that balance fraud prevention with user experience
• Partner cross-functionally with Data Science, ML, Product, Compliance, and senior leadership to define the roadmap and ensure the risk platform evolves ahead of emerging threats and regulatory requirements
• Build AI-native risk systems that leverage fleets of agents to automate complex detection and response workflows, significantly reducing the need for manual intervention
• Strengthen the team's technical capability through architecture reviews, code reviews, engineering standards for quality and performance, and hands-on mentorship of engineers at all levels

Staff Software Engineer, Backend – Consumer, Risk

• Lead the design and delivery of complex risk platform features end-to-end, from architecture through implementation, deployment, and monitoring, with stringent requirements for correctness, performance, and reliability
• Drive architectural decisions that shape Coinbase's risk detection and mitigation systems, translating ambiguous business requirements into scalable working architectures that balance fraud prevention with user experience
• Partner cross-functionally with Data Science, ML, Risk Analysts, Product, and Compliance teams to build proactive systems (real-time decisioning engines, model-driven fraud detection) and reactive solutions (incident response tooling, compliance-driven risk controls)
• Build AI-native risk systems that leverage fleets of agents to automate complex detection and response workflows, significantly reducing the need for manual intervention
• Strengthen the team by mentoring engineers, conducting rigorous code reviews, writing technical design documents for complex systems, and championing engineering best practices across the codebase
• Own system quality and operational excellence by proactively addressing technical debt, driving bug triaging, and leading incident response and post-mortems to ensure platform reliability

Senior Software Engineer, Backend – Consumer, Risk

Product Designer

• Own end-to-end product design for key Advanced Trade experiences across web and mobile
• Lead high-ambiguity, zero-to-one and improvement initiatives
• Raise the craft and quality bar across the Advanced Trading product surface
• Design scalable frameworks, patterns, and information architecture
• Partner closely with Product, Engineering, Research, and cross-functional peers
• Lead through influence by coaching and upleveling more junior designers

Staff Product Designer – Advanced Trade

Risk

• Own end-to-end risk controls for ACH payments, scaling fraud prevention processes to keep pace with business expansion.
• Drive detection and mitigation of fraudulent deposit activity by implementing targeting logic against bad actors and high-risk behavior.
• Lead quantitative analysis of fraud performance measuring rule precision and recall, assessing the financial impact of decisions, and surfacing tradeoffs to leadership with clear, data-backed recommendations.
• Partner cross-functionally with Product, Growth, Data Science, Risk ML, and Engineering to develop and iterate on custom risk management strategies, including the transition from heuristic rules to model-driven and synchronous friction controls.
• Execute investigations into anomalous customer and transaction behavior, proactively identifying monitoring gaps and closing them before they become losses.

Payments Risk Analyst II

Product Manager

• Own the creative direction and visual identity of the Coinbase consumer product, evolving the design language across icons, color systems, typography, and UI components.
• Lead high-impact product launch campaigns from concept through delivery, with rigorous attention to visual craft and storytelling.
• Partner with Product Designers, Engineers, Product Managers, and Marketers to embed creative thinking into every stage of the product development process.
• Build and mentor a team of visual, motion, and illustration designers, raising the quality bar through critique, shared best practices, and hands-on art direction.
• Shape the creative strategy for how Coinbase products look, move, and feel, balancing innovation with feasibility at scale.
• Drive design excellence by directly contributing as a senior IC when needed, rolling up your sleeves on high-visibility projects.

Head of Product Creative

• Define the ML data and feature strategy for fraud detection, determining what data needs to enter our systems so our models can take intelligent, high-accuracy action on a small fraction of traffic where intervention matters most.
• Own the end-to-end feature engineering pipeline identifying, building, validating and promoting features that drive measurable improvements in ATO and scam ML performance.
• Diagnose gaps between current tooling infrastructure and the solutions needed, and drive the roadmap to close them leveraging your understanding of how the industry has evolved to make the right architectural calls.
• Partner with Machine Learning Engineers to translate analytical insights into production-ready ML systems, ensuring models are instrumented, monitored, and continuously improved.
• Set technical direction for the ML Analytics function within Growth & Risk, mentoring junior team members who need a senior practitioner to define the approach and translate direction into execution.
• Partner cross-functionally with Product Managers and Risk analysts to surface fraud signals and translate ML findings into business-impacting decisions.
• Serve as the team's institutional knowledge resource on ML industry evolution — helping the organization understand why certain solutions work, what historical architectural decisions mean for current tooling, and where the industry is headed next.