Top Blockchain Jobs in Los Angeles, CA

As a Principal Product Manager, you'll lead the customer onboarding platform's strategy, ensuring compliance, scalability, and improved user experience while collaborating across multiple teams.

As a Regulatory Program Manager, you will drive automation and AI initiatives to enhance regulatory execution processes, fostering cross-functional collaboration and optimizing workflows.

The Program Manager will champion AI and automation within a regulatory framework, identify opportunities for efficiency, manage a roadmap of initiatives, and enhance program management tools while collaborating with various teams.

The Head of Communications at Coinbase will lead external narrative for Base, oversee PR, media relations, and use AI to enhance communication efficiency.

As a Senior Accountant, you'll drive finance and accounting processes for Capital Markets, ensure regulatory compliance, and collaborate across teams for the Futures Commission Merchant and Broker-Dealer.

Lead the Identity Accounts team at Coinbase, managing engineers across three sub-teams, driving execution, and ensuring uptime for critical services.

Drive sales of AI/HPC data center hardware to enterprise and cloud customers, leveraging existing networks and expertise to close deals and advise on solutions.

The Employee Experience Manager enhances employee journeys through event management, cultural initiatives, and engagement strategies while supporting HR functions in a remote setting.

The Engineering Manager leads a team in delivering reliable software solutions, blending technical contributions with team leadership, managing projects, and improving processes.

The Clearing Operations Specialist will ensure production clearing infrastructure operates smoothly, handling monitoring, incident response, and system deployments in a regulated environment.

The Finance Manager will oversee finance workstreams, manage crypto and fiat operations, integrate financial systems, and ensure compliance. Responsibilities include financial analysis, reporting, and process optimization, collaborating across teams.

The AI Engineer will develop AI and machine learning models, analyze data, build NLP applications, and collaborate across teams on scalable solutions.