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Ripple is seeking a Staff Software Engineer to lead the Cash Forecasting platform, a critical AI-amplified treasury solution managing over $100 billion in daily cash flow for enterprise customers across 40+ countries.
The Cash Forecasting platform helps CFOs and treasury teams move beyond spreadsheets to achieve real-time cash visibility and predictive accuracy. It integrates with major ERPs and banking systems to automatically capture, categorize, and analyze transactional data across multiple currencies and business units. The platform leverages proprietary GSmart AI technology that continuously learns from historical cash flows and sales data to automatically select optimal forecasting algorithms, improving accuracy by over 30%.
In this role, you will drive architectural decisions balancing scalability, maintainability, and rapid deployment. You'll establish technical standards and design patterns that enable faster feature shipping with fewer defects. Key responsibilities include leading technical design reviews, mentoring mid-level and senior engineers into technical leadership roles, and breaking down complex problems into actionable work for the team.
You'll champion engineering best practices including observability, incident response, and production excellence. Cross-functionally, you'll partner with Product and Customer Success teams to translate business requirements into scalable technical solutions, collaborate across distributed teams (Ireland, U.S., Philippines, Australia), and influence the product roadmap by identifying technical opportunities that create competitive advantages.
You'll also focus on maximizing agility by identifying bottlenecks in the development lifecycle, improving CI/CD pipelines and testing infrastructure, and driving adoption of modern engineering practices. The role involves working on sophisticated machine learning models, automated variance analysis, real-time data orchestration from diverse financial sources, and intuitive dashboards that allow users to drill down from high-level summaries to individual transaction details.
