Senior Staff Software Engineer, Core Automation

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.

As a Senior Staff Software Engineer on the Core Automation team within Platform, you'll architect and build the Agentic AI systems that are reimagining how Coinbase delivers customer support and manages compliance at scale. This team is focused on automating high-volume operational processes with AI, then building the primitives and orchestration platform that let every domain at Coinbase leverage those capabilities. You'll own the technical vision for production AI systems that directly improve customer experience, strengthen compliance posture, and drive outsized efficiency gains.

What you'll do:

• Own the design and implementation of Agentic AI systems powering Coinbase's customer support and compliance automation
• Architect a reusable platform of primitives, orchestration tools, and interfaces that enable other teams to adopt Agentic AI for their domains
• Drive cross-functional alignment with product, compliance, and operations stakeholders to translate business needs into scalable technical solutions
• Lead technical strategy for getting LLM-based applications from prototype to production, including grounding, hallucination reduction, and reliability at scale
• Mentor engineers across the team on system design, coding standards, and AI/ML best practices

Required Skills and Experience:

• 12+ years of backend software engineering experience, with deep proficiency in Golang or similar systems languages
• Proven track record shipping LLM-based or Agentic AI applications to production, including measurable improvements in grounding and hallucination reduction
• Demonstrated ability to architect distributed systems handling massive scale, with experience navigating ambiguous problem spaces to deliver high-impact solutions
• Experience partnering with non-tec