Product Manager - Data Intelligence

<p><strong>ABOUT ROCKET MONEY 🔮</strong></p> <p>Rocket Money’s mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.</p> <p>Please note: We strongly encourage team members to be in the office 1-2 days per week, though there is no formal in-office requirement.</p> <p><strong>ABOUT THE ROLE 🤹‍♀️</strong></p> <p>You'll own the intelligence layer that makes Rocket Money smarter for every member. Working at the intersection of machine learning, AI / LLM, and consumer product, you'll partner with a team of Software Engineers and Machine Learning Engineers to extract financial insights from bank transactions, emails, and receipts — then ship front-end experiences that turn those insights into real money-saving opportunities.</p> <p>This is a partial-platform role: the systems you build will power and enrich features across multiple Rocket Money product teams, as well as supporting your own customer facing features.</p> <ul> <li><strong>Define the AI-driven data intelligence roadmap</strong> for transaction enrichment, financial insight extraction, and money-saving intelligence — aligning with Rocket Money's broader product vision</li> <li><strong>Define technical problem statements and work with engineers to select the right approach,</strong> by mapping engineering the tradeoffs of heuristics, machine learning and LLM approaches to prioritized customer and business outcomes.</li> <li><strong>Partner with Software Engineers and Machine Learning Engineers</strong> to develop intelligence systems that leverage both ML models and LLMs to extract structured, actionable insights from bank transactions, emails, receipts, and other financial data</li> <li><strong>Ship customer-facing experiences</strong> on top of enriched data — collaborating with Design and front-end engineers to deliver products that surface insights savings opportunities</li> <li><strong>Build and maintain a monitoring and evaluation system</strong> for intelligence outputs — tracking prediction accuracy, extraction quality, insight helpfulness, customer sentiment, and model cost to drive continuous improvement</li> <li><strong>Prioritize trade-offs across model accuracy, inference speed, and cost</strong> — particularly as LLM usage scales — to deliver the best member experience within practical constraints</li> <li><strong>Collaborate across Rocket Money product teams</strong> to understand how your platform can support and improve their initiatives, features, and OKRs and vice versa</li> </ul> <p><strong>ABOUT YOU 🦄</strong></p> <p>You have a growth mindset and want to be challenged. You have a high bar and want to be a difference-maker in the organization. You'll bring a sense of urgency that matches the incredible opportunity we have ahead of us.</p> <ul> <li><strong>4+ years of experience as a product manager</strong> building products that use machine learning and/or LLMs to improve product dynamism and deliver intelligent, self-learning user experiences</li> <li>You have a strong intuition for <strong>when to use heuristics vs. traditional ML vs. LLM-based approaches</strong> and can articulate the trade-offs in accuracy, latency, and cost to technical and non-technical stakeholders alike</li> <li>You're comfortable working across the full stack — from <strong>front-end interfaces</strong> that delight customers to the <strong>complex ML pipelines and LLM integrations</strong> that power them</li> <li>You possess a unique combination of <strong>technical depth, customer empathy, and strategic thinking</strong>, and are energized by operating at the center of machine learning and consumer product</li> <li>You're a master cross-functional collaborator comfortable working with machine learning engineers, software engineers, designers, data analysts, and other p ... (truncated, view full listing at source)