Senior Engineering Manager, Core Automation (Platform)

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.

The Core Automation team envisions a future where AI-powered operations lead to seamless, delightful experiences for customers and maximum value for shareholders. Towards this vision, our strategy is to 1) start with re-imagining and automating Compliance operations with Agentic AI, 2) incorporate learnings from this automation experience and build primitives and orchestration solutions that allow us to scale, and 3) scale across a variety of domains enabling AI to enhance every part of customer experience and internal processes.

It is day 1 for us. We are laser focused on automating compliance processes today. This is not just focused on driving efficiencies by automating manual processes, but reimagining what processes and systems must look like in a fully AI driven automated world, and then bring that vision to reality, working across cross functional teams to offer a delightful customer experience, improve compliance posture and deliver outsized shareholder value.

What you’ll be doing (ie. job duties):

• Explore and apply advanced GenAI techniques, including large language models (LLMs) and Agentic AI, to solve complex challenges across the organization.
• Partner with and influence Operations and Compliance organizations to maximize impact.
• Build and manage engineering teams in the Compliance domain, to guide the development of features, services, and infrastructure.
• Plan, design, develop, and test software systems or applications for software enhancements and new products, including cloud-based or internet-related tools.
• Design scalable systems to solve novel problems with modern cloud technology and industry best practices.
• Collaborate with engineers, designers, product managers, and senior leadership to turn product and technical vision into a tangible roadmap every quarter.
• Coach team members on design principles, coding standards, and AI productivity tools adoption.
• Review and ensure the security, scalability, and architectural integrity of feature designs across teams.
• Hiring, training and growing a high-performing team to blaze the trail in AI/ML solutions.
• Lead multiple engineering focused efforts in parallel, while maintaining high service quality standards
• Create and enforce processes to improve engineering quality, AI adoption and high impact delivery of each team member
• Be a thoughtful technical voice within the team, aiding in diligent architectural decisions and fostering a culture of high-quality code and engineering processes. Collaborate with Product and Engineering teams to ensure successful delivery and operation of multi-tenanted, distributed systems at scale.

What we look for in you (ie. job requirements):

• At least 10 years of experience in software engineering.
• At least 5 years of engineering management experience, and 2 years of experience managing Managers.
• You know what high quality code — and software engineering processes — look like and know how to foster an environment that creates them.
• Execution focused with an ability to navigate ambiguity.
• Ability to do both long term thinking and short term planning.
• Experience creating, delivering, and operating multi-tenanted, distributed systems at scale.
• You can be hands-on when needed – whether that’s writing/reviewing code or technical documents, participating in on-call rotations and leading incidents, or triaging/troubleshooting bugs.
• You're passionate about building an open financial system that brings the world together.

Nice to haves:

• Experience getting LLM based applications to production. Measuring and improving LLMs’ grounding to a given corpus and experience reducing hallucinations is a big plus.
• Experience in the Customer Support Compliance or Financial Crimes domains.