About the role
About Prophecy Prophecy is building the next generation of AI-powered Data Prep and Analytics. Our platform enables business analysts and data teams to transform raw data into reliable, production-ready datasets and insights faster, using modern data infrastructure and AI-driven capabilities. We work with leading enterprises to simplify how organizations prepare, analyze, and operationalize data, while maintaining strong governance, security, and operational control. Our mission is to make it dramatically easier for organizations to turn complex data into trusted insights that drive decisions. Why This Role Exists We are expanding our platform into complex, data-intensive verticals , starting with Structured Finance . Structured finance workflows, which span asset-level data ingestion, cash flow modeling, tranche structuring, and regulatory reporting, are among the most analytically demanding and operationally complex in the enterprise. They are also highly manual and fragmented, deeply dependent on data quality and lineage, and increasingly in need of AI-driven automation and insight generation . We are looking for a Senior Product Manager who operates as a builder and owner , and who brings strong intuition for structured finance workflows , to help define how these processes evolve in an AI-native world. You will own a product area end-to-end and shape how financial institutions go from raw financial data → models → insights → decisions → actions . What You’ll Do Product Strategy & Ownership Own and evolve the roadmap for a product area over a 1–3 quarter horizon, balancing customer needs, technical investments, and business goals Define how capabilities such as data preparation, modeling, and analytics come together into cohesive systems Make thoughtful trade-offs across customer needs, technical constraints, and business impact Think in systems: how does the product support the full lifecycle from asset ingestion to reporting and decisioning Domain Insight & Discovery Develop deep understanding of structured finance workflows, including asset-backed securities (ABS), MBS, CLOs, or similar instruments, loan-level data ingestion and normalization, cash flow modeling and scenario analysis, tranche structuring and risk analysis, amd regulatory and investor reporting. Engage directly with customers (banks, asset managers, fintechs) to uncover constraints, inefficiencies, and unmet needs Frame complex financial and operational problems into clear, actionable problem statements AI-Native Product Development Use AI tools (LLMs, copilots, workflows) as a core part of product development, not an afterthought Build lightweight prototypes (prompts, workflows, internal tools) to validate ideas before writing full specifications Identify where AI-driven capabilities and automation can meaningfully improve user workflows Ensure AI features are reliable, explainable, and aligned with enterprise