Senior Engineering Manager, Core AI Automation (Platform)

<div class="content-intro"><p>Ready to do the most impactful work of your career? At&nbsp;<a href="https://www.coinbase.com/?utm_campaign=mt_o_m_w_m_m__coi_0_jd-onchain&amp;utm_source=coinbase">Coinbase</a>, 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.”&nbsp;<a href="https://www.coinbase.com/careers">learn more about working at Coinbase</a>.</p></div><p>As a Senior Engineering Manager on the Core Automation team within the <a href="https://www.coinbase.com/careers/product-groups" target="_blank">Platform</a> group, you'll lead the engineering organization building Agentic AI systems that are transforming how Coinbase operates. This team is reimagining compliance and customer support processes for a fully AI-driven world, designing intelligent agents, orchestration frameworks, and guardrail systems that improve compliance posture and customer experience at scale. You'll build and grow multiple engineering teams, set the technical direction for production AI systems, and partner with Compliance and Operations leadership to deliver automation that creates measurable business impact.</p> <p><strong>What you’ll do:</strong></p> <ul> <li>Build, hire, and grow a high-performing engineering organization, coaching managers and senior engineers on technical leadership, career development, and AI-first engineering practices</li> <li>Set the technical vision and multi-quarter roadmap for Core Automation's Agentic AI systems, partnering with Compliance, Operations, and Product leadership to prioritize the highest-impact automation opportunities</li> <li>Drive architecture and delivery of production LLM-based systems with rigorous guardrails, grounding, and measurement, ensuring AI agents are reliable, auditable, and compliant</li> <li>Lead multiple parallel engineering initiatives across compliance automation domains, maintaining high delivery velocity while ensuring system correctness and service quality</li> <li>Establish engineering standards, code review practices, and AI adoption frameworks that raise the quality bar and accelerate the team's ability to ship production AI systems</li> </ul> <p><strong>Required Skills and Experience:</strong></p> <ul> <li>10+ years in software engineering with at least 5 years of engineer