Group Product Manager, Customer Engagement & ExperienceNew$46K–$183K

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 multi-year vision, strategy, and roadmap for Coinbase's retail: customer support experiences, aligning Engineering, Design, Data, and CX behind ambitious goals tied to company-level automation, quality, and retention outcomes.

  • Drive the next generation of AI-powered self-service and automation across: Coinbase product surfaces, the Help Center , and chat, voice, and social channels, building clean handoffs between AI agents and human specialists so customers get the right help in the right moment.

  • Own the strategic direction for the Concierge program, pairing dedicated: human concierges with AI-powered tooling to deliver a relationship-based support experience that builds trust and deepens engagement with our most valuable customers.

  • Build proactive support capabilities that detect and resolve issues before: customers contact us, identify churn risks and engagement opportunities, and turn public social support moments into trust-building experiences.

  • Develop and mentor a globally distributed product group, holding an extremely: high quality bar for craft, operational excellence, and customer outcomes across everything the team ships.

  • + years of product management experience, with 5+ years shipping: customer-facing support, self-service, or automation products in fintech, financial services, or similarly regulated domains at global scale.

What they're looking for

  • + years leading and developing product management teams, including managing: senior PMs and operating through influence across large, cross-functional organizations.
  • Demonstrated experience delivering AI-powered products (e.g., LLM-based: assistants, agentic workflows, intelligent routing, or automation) with appropriate controls, evaluation, and governance.
  • Proven ability to define measurable outcomes (automation rate, product and: support quality, customer effort scores, retention), instrument product surfaces, and use data to drive roadmap prioritization across a multi-team portfolio.
  • Leverages AI to accelerate output, efficiency, and quality of the product: group in addition to identifying priorities and tradeoff opportunities across a diverse portfolio of product investments.