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Senior Manager, Software Engineering
RippleDublin, IrelandPosted 30 April 2026
Job Description
At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.
If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.
The Position:
The mission, should you choose to accept it, is to pioneer and scale Ripple Treasury's liquidity platform into the future. If you enjoy solving complex business problems in a fast-paced, collaborative, and iterative environment this might be the right role for you!
At Ripple, you’ll be a part of makers, breakers, doers, and progressives, who love to solve real problems and meet real customer needs. As an established FinTech leader in the SaaS treasury management space, our vision is to create the next-generation of technology tools for the global, corporate financial office.
We are seeking an innovative and forward-thinking Engineering Manager passionate about building a world-class platform through a world-class team. Driving the technical direction the technology, the evolution of team, and the engineering excellence to make magic happen.
About the Cash Forecasting team:
Cash Forecasting is our AI-amplified treasury solution that helps CFOs and treasury teams move beyond error-prone spreadsheets to achieve real-time cash visibility and predictive accuracy.
The platform integrates seamlessly with major ERPs and banking systems to automatically capture, categorise, and analyse transactional data across multiple currencies and business units. Leveraging our proprietary GSmart AI technology, the solution continuously learns from historical cash flows, sales data, and treasury information to automatically select optimal forecasting algorithms and improve accuracy by over 30%.
You'll work 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. This is a critical platform managing over $100 billion in daily cash flow for enterprise customers across 40+ countries, with the technical challenge of delivering rapid 90-day implementations while maintaining enterprise-grade security and scalability.
What You’ll Do:
Lead a portfolio of diverse technology projects and a team of software engineers with deep experience in event driven cloud native services, and full stack systems to create solutions that help meet the needs of business and customers
Collaborate with product managers, and deliver robust cloud-based solutions
Make decisions on the design, architecture, and delivery of systems
Build teams and be an active coach and mentor to your team and grow them in their careers
Drive agile development and analytical methodologies every day
Strive to continuously improve the operations, processes, methodologies, technology choices, and practices of the team
Interact with your team, customers, and peers to share information and improve cross-department processes
Strive for transparency and partnership between our engineers and our business partners
Engage in concept discussions, and proposed technology solutions, to meet business objectives and influence such decisions
Ensure all work meets quality, operational, and architectural standards needed for organisational success
Be a champion of the YBIYRI ethos (you-build-it-you-run-it), which includes participating in their on-call pager rotation.
Who You Are:
A leader, first and foremost
An influential and effective communicator
Highly skilled at developing people, bui ... (truncated, view full listing at source)
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