Group Product Manager, Compliance Agent Experience
Lead the Compliance Agent Experience product team at Coinbase to build automation-first, AI-powered internal tooling for AML, KYC, EDD, and sanctions investigations. Own multi-year roadmap, metrics, and cross-functional delivery to improve investigation quality, speed, and efficiency for global compliance operations while meeting strict regulatory requirements.
244k – 287k
Remote10+ YOEProduct Management
About the role
What you’ll be doing
Own all facets of the Compliance CX Agent Experience product area from vision and strategy through execution, delivery, and continuous improvement - focused on AML/financial crime operations (TMS, KYC, EDD, Sanctions/Screening).
Define and execute a multi‑year roadmap for Compliance investigation experiences, balancing scale, investigator effectiveness, regulatory commitments, and platform resiliency.
Drive automation-first and AI-assisted investigation workflows (human-in-the-loop), while ensuring explainability and appropriate controls.
Deeply understand investigator and specialist workflows to identify the highest-impact opportunities for automation and to reduce handle time, improve accuracy/consistency, and increase automation safely.
Partner with Engineering, Design, Data Science/ML, Compliance, and Ops to deliver seamless tooling that integrates the right data at the right time, reduces swivel-chair, and improves end-to-end investigation throughput.
Establish clear success metrics and instrumentation for Compliance tooling (e.g., investigation cycle time, AHT, escalation rates, rework, QA outcomes, false positive reduction enablement, automation adoption).
Proactively address security, privacy, risk, and compliance requirements including access controls, data retention, audit trails, model governance, and regulator-ready reporting—without compromising usability for frontline teams.
Drive build vs. buy and vendor strategy for investigation enablement (e.g., OSINT, case enrichment, LLM tooling) and lead evaluations/RFPs in partnership with Compliance, Legal, Security, and Procurement.
Operate as a product leader across stakeholders - communicate strategy, tradeoffs, and progress to executive and cross-functional audiences through regular business reviews and program updates.
Develop and mentor a globally distributed product group, setting high standards for product quality, operational excellence, and execution rigor.
What we look for in you
Demonstrated AI fluency with proven ability to accelerate product management, design and development.
10+ years of Product Management experience, with a proven track record of shipping consumer products at a global scale.
5+ years of experience launching successful products in fintech, DeFi, or similarly complex domains.
5+ years of leading and developing Product Management teams.
Product vision & execution: Proven ability to translate bold ideas into delightful, impactful features with measurable results.
User obsession: Relentless focus on creating intuitive, trustworthy, and scalable payment experiences.
Cross-functional leadership: Able to align diverse stakeholders—from engineers to compliance teams—behind a shared vision.
Analytical skills: Skilled at market sizing, opportunity assessment, and turning complex data into actionable product insights.
Demonstrated experience driving AI-powered customer support solutions, such as chatbots, LLM-based assistants, or automation workflows.
Demonstrated unlimited curiosity: proactively researching, identifying, experimenting with and adapting new technologies and vendors.
Excellent written and verbal communication skills.
Ability to thrive and perform under pressure.
Nice to haves
Experience building products for AML, transaction monitoring, investigations, sanctions screening, KYC/EDD, or adjacent financial crime operations.
Familiarity with auditability, model risk management, and regulator-facing requirements for systems used in compliance investigations.
Experience with human-in-the-loop design patterns and quality programs (QA/QC), particularly in operational decisioning environments.
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