The opportunity
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom.
What you'll do
Own the Compliance Agent Experience product area end-to-end, from vision and: strategy through execution, covering AML/TMS, KYC, EDD, and Sanctions/Screening investigation surfaces.
Drive a multi-year roadmap for AI-assisted, human-in-the-loop investigation: workflows that measurably reduce cycle time, improve decision quality, and increase automation adoption.
Lead build-vs-buy and vendor strategy for investigation enablement (OSINT,: case enrichment, LLM tooling), including evaluations and RFPs in partnership with Compliance, Legal, Security, and Procurement.
Partner with Engineering, Data Science/ML, Compliance Program owners, and CX: Operations to deliver integrated tooling that reduces context-switching and improves end-to-end investigation throughput.
Establish success metrics and instrumentation for Compliance tooling: (investigation cycle time, AHT, escalation rates, QA outcomes, false positive reduction, automation adoption) and report progress to executive stakeholders through regular business reviews.
Shape security, privacy, and auditability requirements, including access: controls, data retention, audit trails, and model governance, ensuring regulatory readiness without compromising investigator usability.
What they're looking for
- + years of product management experience, including 5+ years leading and: developing PM teams, with a track record of shipping internal tooling or operational platforms at global scale.
- Demonstrated experience building AI/ML-powered automation or workflow: products (e.g., LLM-based assistants, human-in-the-loop decisioning, intelligent case routing) in compliance, fintech, or similarly regulated domains.
- Deep familiarity with AML, transaction monitoring, investigations, sanctions: screening, or KYC/EDD operations, including auditability and regulator-facing requirements.
- Proven ability to define measurable outcomes (throughput, quality, automation: rates), instrument product surfaces, and use data to drive roadmap prioritization across a multi-team portfolio.