The ideal candidate is a hands-on platform product manager who is equally comfortable in a technical design discussion about cloud-native architecture, inference at scale, Kubernetes, and platform reliability as they are framing trade-offs for senior leaders, writing crisp requirements, and driving an Agile delivery cadence - all while balancing speed, scalability, cost, governance, and the regulatory and data-privacy obligations inherent to payments and financial services. Hands-on experience planning and executing the transformation of AI/ML, data, or large-scale application workloads to cloud-native architectures on AWS, Databricks - with a strong grasp of scalability, elasticity, reliability, and cloud cost optimization.