About this role

▸about Coinbase — company background

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 Technical Program Manager on the GFCO Analytics Engineering team, you'll own the roadmap and execution for the data models, metrics, and dashboards that power Customer Experience and Compliance Operations at Coinbase. This team combines deep domain expertise in regulated operations with modern data engineering (Snowflake, Airflow, Superset/Looker, and AI tooling) to deliver trusted, self-serve data products that drive faster decisions and stronger customer outcomes. You'll distill requests from 15+ cross-functional teams, prioritize work based on impact and regulatory need, and create the operational leverage that lets analytics engineers focus on building rather than managing process.

What You'll Do:

Own the CX Analytics Engineering roadmap, distilling requests from Operations, Compliance, Risk, WFM, BizOps, and Product teams into a prioritized backlog scoped by impact, regulatory urgency, and team capacity

Drive program execution across data model builds, pipeline development, dashboard delivery, and regulatory reporting workstreams, holding the team accountable to timelines and quality standards

Build and automate project management processes, reducing operational overhead so analytics engineers spend more time building data products and less time on coordination

Partner with CX Operations leadership, Compliance, and Data/Platform Engineering to resolve pipeline dependencies, align on shared data models, and ensure regulatory reporting accuracy

Implement testing, monitoring, and documentation standards (data contracts, alerting, quality checks) that reduce ad-hoc firefighting and build stakeholder trust in CX data products

Leverage AI-assisted workflows and tooling to compress speed-to-insight, automate reporting, and scale the team's impact without growing headcount linearly with business complexity

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