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Senior Product Manager

Prophecy
San Francisco, USAfull_timePosted 5 Jun 2026

About the role

<h3><strong>About Prophecy&nbsp;</strong></h3> <p>Prophecy is building the next generation of AI-powered Data Prep and Analytics.&nbsp;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.&nbsp;We work with leading enterprises to simplify how organizations prepare, analyze, and operationalize data, while maintaining strong governance, security, and operational control.&nbsp;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 &amp; 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 &amp; 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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Prophecy

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