Coinbase’s mission to “increase economic freedom” has remained the same since the company’s founding — but its potential to make a global impact is only growing. To move beyond simple trading, the cryptocurrency company is building the “Everything Exchange,” a unified platform where users can engage with every aspect of the onchain economy, from spot trading and derivatives to spending and saving. Coinbase’s consumer engineering team is responsible for building this financial platform of the future, empowered by a culture Senior Engineering Manager Jacqueline Teran described as “highly impact-driven.”
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What It’s Like to Work on Coinbase’s Consumer Engineering Team Building the “Everything Exchange”
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Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Own product strategy and roadmap for CX and AI tooling that enables support specialists. Prioritize high-impact CX problems, build AI-integrated features (intelligent routing, AI-assisted responses, knowledge retrieval, workflow automation), define success metrics, partner with CX, Design, Data Science, and Compliance, and drive end-to-end delivery and measurement to improve resolution time, CSAT, and efficiency.
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Lead a team of product managers to define and execute finance transformation and automation across accounting, treasury, reconciliation, and financial reporting. Drive roadmap, stakeholder alignment with finance and engineering leadership, ensure SOX-compliant change management, and identify AI-driven opportunities for scalable finance infrastructure.
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Lead product vision and multi-year roadmap for Coinbases Compliance Automation platform. Manage PMs to deliver AI/ML-powered sanctions screening, transaction monitoring, suspicious activity detection, and risk-based workflows. Partner with Compliance, Legal, Engineering, and Data Science to scale automation, reduce manual effort and cost, maintain regulatory compliance, and integrate emerging AI technologies.
