Lead Product Manager, Data Sources

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. About the Job: 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.

Responsibilities

Drive the roadmap for parsing income and document types; Expand the catalog of supported document types beyond the current set; Define and ship the fraud signal layer across data sources; Lead the bank aggregation product, connection success rates, refresh cadence, transaction enrichment, and coverage; Set, instrument, and defend SLAs across every data source; Set the multi-quarter roadmap for Data Sources across docs, fraud, and aggregation; Write tight specs and 1-pagers; Talk to clients weekly and turn their feedback into prioritized roadmap; Own the metrics — parse accuracy, fraud catch rate, bank connection success, SLA hit rate; Lead and mentor PMs and engineers on the team; Represent Truv's data sources story externally

Requirements

7+ years in product management, with significant time in data, ML/AI, fintech, or verification / identity platforms; Demonstrated experience owning a data-intensive product — document understanding, OCR, financial data aggregation, fraud, or similar — at meaningful scale; Strong technical fluency. You can reason about extraction models, API tradeoffs, and pipeline architecture without needing to be hand-held by engineering; Track record of driving SLA / reliability outcomes — not just shipping features, but moving the numbers that matter; Strong written communication. You write the 1-pagers and specs that align the team; Customer obsession. You spend real time with users and let what you learn shape the roadmap; Worked on a verification or KYC/KYB product used by lenders; Comfortable shipping in a startup environment where ambiguity is high and the bar moves up.

Nice to have

Experience working with regulated industries (mortgage, lending, government) is a strong plus; GSE / FCRA / FNMA / FHLMC familiarity especially