- Salary
- $180k – $220k/yr
- Location
- Remote
- Workplace
- Remote
- Department
- Product
- Seniority
- Lead
- Source
- Lever
Description
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.
Role Overview:
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.
What you'll do day to day:
- Set the multi-quarter roadmap for Data Sources across docs, fraud, and aggregation; align it with revenue, client commitments, and platform-level constraints.
- Write tight specs and 1-pagers; partner with Eng and Data Science to scope, build, and ship.
- Talk to clients (mortgage lenders, government agencies, tenant screeners) weekly; turn their feedback into prioritized roadmap.
- Own the metrics — parse accuracy, fraud catch rate, bank connection success, SLA hit rate — and the rituals that drive them up.
- Lead and mentor PMs and engineers on the team; raise the bar on shipping speed and quality.
- Represent Truv's data sources story externally (sales calls, conferences, partner reviews).