Product Manager, Data Platform

TrueML • Remote in USA, CA

9h • $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: Manager
• Education Level: No Education Listed