TrueML
Senior Product Manager, Data Platform
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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.
What You'll Do:
- 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.
Who You Are:
- A Proven Data Leader: You have 7+ 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.
We are a dynamic group of subject-matter experts passionate about change. Our teams are crafting solutions to big problems every day. If you’re looking for an opportunity to do impactful work, join TrueML and make a difference.
Our Dedication to Diversity & Inclusion
TrueML and TrueAccord are equal-opportunity employers. We promote, value, and thrive with a diverse & inclusive team. Different perspectives contribute to better solutions, making us stronger every day. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
TrueML San Francisco, California, USA Office
San Francisco, CA, United States, 94105
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
