Truv
Lead Product Manager, Data Sources
Summary
About Truv: Truv is building the infrastructure layer that powers consumer-permissioned income, employment, identity, and asset verification. We help lenders, fintechs, and financial institutions make faster, more accurate decisions while delivering a seamless consumer experience. As we continue to expand our data network and verification capabilities, we're looking for a Lead Product Manager to own and scale our Data Sources platform—the foundation that powers document ingestion, fraud detection, bank connectivity, and data reliability across Truv products.
What you’ll do
We are seeking an experienced Lead Product Manager, Data Sources to own the execution of the roadmap, and execution for the systems that collect, process, and validate consumer financial data. This role sits at the intersection of data infrastructure, machine learning, fraud prevention, and financial data aggregation. You will be responsible for building scalable capabilities that improve data coverage, quality, reliability, and trust across Truv's platform. You will work closely with Engineering, Data Science, Fraud, Operations, Customer Success, and GTM teams to deliver products that directly impact conversion, customer satisfaction, and operational efficiency.
Who you are
• Experienced product manager with a track record of delivering data-intensive, scalable platform features
• Strong collaboration skills across cross-functional teams (Engineering, Data Science, Fraud, Operations, Customer Success, GTM)
• Deep understanding of data ingestion, processing, validation, quality, and reliability
• Ability to translate complex data requirements into clear roadmaps and measurable outcomes
Requirements
- Proven experience as a product manager for data platforms or data sources, with ownership of end-to-end delivery
- Experience coordinating with data engineering, ML, and fraud risk teams
- Strong problem-solving skills and data-driven decision making
- Ability to define success metrics and track progress against them
- Excellent communication and stakeholder management
Qualifications
- Bachelor’s degree in a relevant field; MBA or advanced degree a plus
- 5+ years of product management experience in data-intensive environments
- Experience with data ingestion, data quality frameworks, data lineage, and data reliability concepts
Tech stack
Experience with data pipelines, data storage, APIs, and cloud-based data tooling. Familiarity with data orchestration, metadata management, and fraud/inventory systems is a plus.
Benefits & perks
Competitive compensation, equity, health benefits, and opportunities for professional growth. Collaborative, fast-paced environment with a strong focus on impact and product excellence.