Senior Product Manager
ProphecyAbout the role
<h3><strong>About Prophecy </strong></h3> <p>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.</p> <h3><strong>Why This Role Exists</strong></h3> <p>We are building an <strong>AI-native data platform</strong> that sits at the intersection of data infrastructure, analytics, and intelligent systems.</p> <p>We are looking for a Senior Product Manager who operates like a <strong>builder and owner</strong>, not just a planner, but someone who:</p> <ul> <li>Thinks in terms of the full <strong>data → insights → decisions → actions lifecycle</strong></li> <li>Uses AI tools and prototyping to explore ideas before formalizing them</li> <li>Balances deep customer understanding with strong technical intuition</li> <li>Drives products from concept to production with high ownership and velocity</li> </ul> <p>You will own a product area end-to-end and play a critical role in shaping how analysts interact with data in modern enterprise environments.</p> <h3><strong>What You’ll Do</strong></h3> <h4><strong>Product Strategy & Ownership</strong></h4> <ul> <li>Own and evolve the roadmap for a product area over a 1–3 quarter horizon, balancing customer needs, technical investments, and business goals</li> <li>Translate product vision into clear initiatives and priorities aligned with Prophecy’s broader strategy</li> <li>Evaluate opportunities based on impact, effort, and strategic fit, making thoughtful trade-offs</li> <li>Think beyond features to systems: how do capabilities fit into the broader data and analytics ecosystem</li> </ul> <h4><strong>Customer Insight & Discovery</strong></h4> <ul> <li>Develop deep understanding of analyst workflows across data preparation, transformation, and analysis</li> <li>Run continuous discovery through customer interviews, product usage data, sales and support signals, and win/loss analysis</li> <li>Frame problems clearly before jumping to solutions</li> <li>Understand enterprise constraints including governance, compliance, and operational complexity</li> </ul> <h4><
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