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Manages global treasury operations for Ripple’s cryptocurrency and financial technology business. The description provides no specific responsibilities or qualifications, but highlights a fast-paced startup environment, professional development, hybrid in-office collaboration, compensation, benefits, and employee inclusion.

The job description provides no specific responsibilities or qualifications beyond the Treasury Manager, Global Treasury Operations title. The role appears focused on managing global treasury activities within Ripple’s financial operations, but detailed duties, required experience, technologies, salary, travel, and clearance requirements are not provided.

Manages global treasury operations for Ripple, supporting the company’s financial activities and processes. The provided posting contains no detailed responsibilities or qualifications, but the role appears focused on corporate treasury within a global cryptocurrency and financial technology organization.

Lead the Trust Platform product strategy and roadmap, defining reusable controls, integrations, APIs, and review workflows for regulated markets. Partner with Compliance, Legal, Engineering, and product teams to translate regulatory and risk requirements into scalable product decisions. Build bank-grade, auditable capabilities while balancing flexibility, control, and future jurisdictional needs.

Leads product organization planning by translating strategy into sequenced, resourced roadmaps across product lines. Facilitates prioritization, tradeoff, dependency, and planning discussions; manages operating rhythms and planning tools; synthesizes metrics with Data Science into leadership recommendations; and supports cross-functional initiatives involving engineering, legal, compliance, and finance.

Serve as the technical lead for data science across Ripple’s product and business teams. Define analytics strategy, create reusable measurement and scientific frameworks, apply AI and agentic workflows to accelerate insight generation, evaluate growth and adoption, communicate executive-level metrics, and mentor data scientists. Work involves experimentation, causal inference, forecasting, statistical modeling, and analysis of payments, stablecoin, custody, and blockchain-related data.

Lead data science across product and business areas, developing measurement frameworks, metrics, causal inference methods, forecasting models, and statistical analyses. Partner with product and business leaders on roadmap and growth decisions, apply AI and agentic workflows to accelerate analytics, communicate insights to senior stakeholders, and mentor other data scientists.

Leads marketing analytics and end-to-end measurement across growth marketing, including dashboards, pipeline attribution, ROI, CAC, LTV, forecasting, budget analysis, experimentation, and data quality. Partners with Marketing, Finance, RevOps, and BI teams to connect spend with pipeline and revenue. Uses AI, machine learning, predictive modeling, and automation to improve reporting, attribution accuracy, insight generation, and investment decisions.

Leads marketing analytics and end-to-end measurement across growth marketing, including campaign reporting, attribution, ROI, CAC, LTV, forecasting, experimentation, and budget analysis. Builds dashboards and reporting infrastructure using Salesforce, Tableau, and related platforms; improves data quality, automation, and predictive insights with AI and machine learning. Partners with Marketing, Finance, RevOps, and Business Intelligence teams to connect spend to pipeline and revenue and support executive decision-making.

Leads marketing analytics and measurement across growth marketing, from campaign spend through pipeline and revenue. Owns dashboards, attribution, ROI, CAC, LTV, forecasting, budget analysis, experimentation, and data quality. Partners with Growth Marketing, Finance, RevOps, Business Intelligence, and Marketing Operations to improve reporting, automate workflows, and apply AI, machine learning, and predictive modeling to generate actionable insights and optimize investment decisions.