Description
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.
The Core Automation team envisions a future where AI-powered operations lead to seamless, delightful experiences for customers and maximum value for shareholders. Our strategy is to start with re-imagining and automating Compliance operations with Agentic AI, incorporate learnings from this automation experience and build primitives and orchestration solutions that allow us to scale, and scale across a variety of domains enabling AI to enhance every part of customer experience and internal processes.
Responsibilities
- 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.
- Hire, train, and grow 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.
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.
Benefits
- Base salary varies by location (see range below).
- Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).