Senior Talent Program Manager
crypto:applicationopsIC5HR & Recruiting
Compensation
Not disclosed
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 Talent Program Manager on the Talent Programs team within People Success, you'll own the design and execution of how Coinbase selects and evaluates talent at scale. This team defines the strategy, systems, and processes that keep our hiring engine running with the highest quality, and this role sits at the center of that work.
What you'll do:
Own the end-to-end design and implementation of selection and assessment programs, building the frameworks, rubrics, and calibration processes that drive consistent, high-quality hiring decisions across Coinbase
Lead cross-functional program execution with COEs including Talent Acquisition, Talent Management, People Analytics, and HR Tech, managing detailed project plans, stakeholder alignment, and delivery timelines for concurrent initiatives
Build scalable interviewer enablement programs that strengthen how hiring teams evaluate candidates, including scorecard design, structured interview methodology, and bias-reduction practices
Drive the change management strategy for new selection and assessment programs, owning stakeholder alignment, enablement materials, communications, and adoption tracking to ensure frameworks land consistently across teams
Partner with People Analytics to define success metrics for selection programs, using data to validate assessment effectiveness, identify gaps, and iterate on evaluation cri