Product Manager, Data Platform

TrueML • San Francisco, CA

1d • $77,429 - $103,238

About The Position

TrueML is on a mission to humanize the recovery process for distressed borrowers through AI and machine learning. As our Product Manager, Data Platform, you will be the architect of the data ecosystem that powers this mission. You aren’t just managing a database; you are building a scalable, self-service data product that enables our entire organization—from Data Scientists to Engineers—to innovate faster. Your immediate impact will be felt as you lead the data strategy for our enterprise-wide re-platforming initiative, creating a foundation for rapid AI experimentation and financial wellness tools.

Requirements

• A Proven Data Leader: You have 5+ years of Product Management experience, specifically focused on launching and scaling complex data platforms (ideally in a B2B or B2B2C fintech environment).
• A Technical Strategist: You have a deep passion for data infrastructure and an intuitive understanding of how upstream/downstream systems interact.
• A Master of Ambiguity: You thrive in "roll-up-your-sleeves" environments where the path isn't always marked, turning conflicting inputs into solid, actionable plans.
• An Expert Communicator: You can explain complex data ontologies to stakeholders and inspire a cross-functional team of engineers and designers toward a shared goal.
• Quality-Obsessed: You hold an extremely high bar for product excellence and believe that data is only as good as the governance and ethics behind it.

Responsibilities

• Own the Data Vision: Define and execute a cohesive roadmap that transforms complex raw data into high-impact, reusable data products.
• Lead the Re-Platforming: Act as a key driver in our shift to a new tech stack, ensuring our infrastructure supports the next generation of AI/ML consumer engagement.
• Empower Internal Users: Design robust self-service capabilities that allow downstream teams to access accurate, well-governed data without bottlenecks.
• Operationalize Governance: Establish standards for data quality, taxonomy, and metadata management to ensure our data is reliable and accessible.
• Bridge the Gap: Partner deeply with Engineering and Product teams to translate business needs into technical requirements that improve margins and user experience.
• Drive Discovery: Lead the end-to-end product lifecycle, from initial discovery and "thinking big" about data usage to iterative delivery and migration support.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed