Senior Engineering Manager, Core AI Automation (Platform)
AI in this role
Leads engineering teams building agentic AI systems and LLM-based automation for compliance and customer support.
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 Engineering Manager on the Core Automation team within the Platform 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.
What you’ll do:
- Build, hire, and grow a high-performing engineering organization, coaching managers and senior engineers on technical leadership, career development, and AI-first engineering practices
- 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
- Drive architecture and delivery of production LLM-based systems with rigorous guardrails, grounding, and measurement, ensuring AI agents are reliable, auditable, and compliant
- Lead multiple parallel engineering initiatives across compliance automation domains, maintaining high delivery velocity while ensuring system correctness and service quality
- 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
Required Skills and Experience:
- 10+ years in software engineering with at least 5 years of engineering management experience, including 2+ years managing managers and building teams from the ground up
- Proven track record shipping LLM-based or Agentic AI applications to production, including experience with grounding, hallucination reduction, guardrails, and AI system evaluation
- Deep technical fluency in distributed systems, cloud-native architecture, and modern AI/ML infrastructure, with hands-on ability to review code, lead architecture decisions, and guide system design
- Demonstrated success leading cross-functional engineering initiatives in ambiguous, fast-moving domains, translating high-level strategic goals into executable roadmaps with clear milestones
- Experience in compliance, regulatory technology, customer support automation, or financial crimes domains
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
Annual base salary range (excluding equity and bonus):$253,895—$298,700 USD
- Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
- Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
- US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.
- Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.
- Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.
How we score this
Senior Engineering Manager, Core AI Automation (Platform) at Coinbase scores 85 out of 100 for how much of the daily work is AI. That makes it AI Level 4 of 4 (Builds AI). The level is about AI in the job, not seniority.
AI Level 4. Building AI systems is the job itself: without AI, the role would not exist.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a workflow you automated with AI tools, end to end.
- Tell me about a project where engineering management was part of your work. What did you do?
- Tell me about a project where llm was part of your work. What did you do?
- Tell me about a project where agentic ai was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Agents, AI Automation, Engineering Management, LLM, and Agentic AI. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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