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Salary: USD 212,330 - 249,800 / annual
Coinbase is seeking a Senior Compensation Business Partner to join the Global Total Rewards team within People Success. This is a senior individual contributor role with three core focus areas: executive compensation strategy, dedicated business partnering for senior executives across G&A and Product groups, and leading AI transformation across the Compensation function.
You will own executive compensation for Coinbase's most senior leaders, including structuring executive offers, designing long-term incentive programs, and preparing Compensation Committee materials in partnership with Legal, Finance, and external advisors. You'll serve as the dedicated compensation advisor to a portfolio of senior executives, delivering fast, clear recommendations on all compensation matters.
A key differentiator of this role is leading AI strategy and transformation for the Compensation function. You'll identify, design, and deploy AI-enabled workflows and agents that accelerate benchmarking, scenario modeling, and stakeholder communications—helping define what an AI-first Compensation function looks like at Coinbase.
You'll translate complex pay scenarios and program tradeoffs into clear, executive-ready narratives and materials that drive decisions in an async-first environment. You'll also shape executive compensation program design, including proxy considerations, scenario modeling, and LTI structures aligned to company strategy.
Required: 8+ years of compensation experience with increasing scope, including deep executive compensation expertise (Comp Committee preparation, proxy/CD&A exposure, executive-level offers, LTI design). You must be a trusted advisor to senior leaders, able to influence without authority and deliver difficult messages with clarity. Strong analytical and modeling skills in Sheets/Excel are essential. You should excel at writing concise, decision-ready documents for senior executives that frame problems, present scenario tradeoffs, and deliver clear recommendations without requiring additional context. Experience operating on small, high-output teams where you owned end-to-end workstreams with minimal direction in fast-paced, ambiguous environments is critical. You should be comfortable utilizing generative AI responsibly while maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
