Engineering Manager, Coinbase

• 10+ years of experience in software engineering
• At least 2+ years of engineering management experience
• Proven expertise in designing, building, scaling, and maintaining production services in a very hands-on manner while leading a team of highly competent engineers
• Experience hiring and running high performing teams via processes and sound engineering practices
• Deep understanding of what high-quality code and software engineering processes look like, and the ability to foster an environment that promotes them
• Familiarity with GenAI frameworks/tools, Python, GoLang, Docker, Postgres, MongoDB
• Background in AI/LLM infrastructure
• Deep customer obsession towards your primary stakeholders
• Passion for building an open financial system that unites the world
• Excellent written and verbal communication skills, and a bias toward open, transparent cultural practices

Desirable

• The mission of the Platform Product Group engineers is to build a trusted, scalable and compliant platform to operate with speed, efficiency and quality. Our teams build and maintain the platforms critical to the existence of Coinbase
• There are many teams that make up this group which include Product Foundations (i.e. Identity, Payment, Risk, Proofing & Regulatory, Finhub), Machine Learning, Customer Experience, and Infrastructure
• The AI Platform Team is a dynamic and ambitious group focused on building centralized AI infrastructure and acceleration solutions that drive productivity, innovation, and customer impact across Coinbase.
• Our mission is to accelerate AI adoption, enhance team efficiency, and deliver exceptional customer experiences by embedding growth pods directly within teams across the organization
• As an Engineering Manager on our team, you’ll be driving this transformative shift within the company. You’ll work with state-of-the-art AI models, frameworks, and tools, playing a pivotal role in shaping how people and businesses engage with and benefit from AI in the future
• Explore and apply advanced GenAI techniques, including large language models (LLMs) and Agentic AI, to solve complex challenges across the organization
• Collaborate with management and stakeholders to define strategic roadmaps and translate vision into actionable quarterly plans
• Lead project execution by managing priorities, deadlines, and deliverables, leveraging your technical expertise
• Architect scalable, secure systems using modern cloud technologies and industry best practices
• Coach team members on design principles, coding standards, and AI productivity tools adoption
• Debug complex technical issues to enhance system reliability, scalability, and ease of operation
• Review and ensure the security, scalability, and architectural integrity of feature designs across teams
• Build pipelines to integrate with third-party vendors and streamline workflows
• Hiring, training and growing a high-performing team to blaze the trail in AI/ML solutions