Truv
Fintech
LeadProductManager,DataSources
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“Lead Product Manager, Data Sources at Truv. Skills: Data Sources platform, Document parsing, Fraud detection, Bank aggregation. Set multi-quarter roadmap for Data Sources. Write tight specs and 1-pagers”
What You'll Achieve.
Improve data coverage; Improve data quality; Improve data reliability; Improve data trust; Impact conversion; Impact customer satisfaction; Impact operational efficiency; Improve parse accuracy; Improve fraud catch rate; Improve bank connection success; Improve SLA hit rate; Raise bar on shipping speed; Raise bar on shipping quality; Reduce manual review; Shorten time-to-report; Reduce drop-off; Improve match rates; Expand FI coverage
Industry & Context.
Root cause analysis
Comfortable shipping in startup environment
What They're Looking For.
Must Have
7+ years in product management, Significant time in data, ML/AI, fintech, or verification/identity platforms, Demonstrated experience owning a data-intensive product, Technical fluency, Track record of driving SLA/reliability outcomes, Customer obsession
Nice to Have
Experience working with regulated industries, GSE/FCRA/FNMA/FHLMC familiarity, Worked on a verification or KYC/KYB product used by lenders
What You'll Do.
Set multi-quarter roadmap for Data Sources
Write tight specs and 1-pagers
Partner with Eng and Data Science to scope
Talk to clients and turn feedback into prioritized
Own the metrics and rituals that drive them
Lead and mentor PMs and engineers
Represent Truv's data sources story externally
Drive roadmap for parsing income and document types
shorten time-to-report
Partner with Data Science on extraction models
Partner with Ops on human-in-the-loop pipeline
Expand catalog of supported document types
Identify highest-impact additions
Prioritize rollout of document types
Own end-to-end product surface
Define and ship fraud signal layer
Balance precision and recall against risk tolerances
Build configuration surface for clients to tune
Lead Truv's bank aggregation product
Optimize connection success rates
Optimize refresh cadence
Optimize transaction enrichment
Drive engineering work to improve SLAs
How You'll Work.
Team & Collaboration
Partner with Engineering; Partner with Data Science; Work with Operations; Work with Customer Success; Work with GTM teams; Work with senior leadership
Communication Scope
Written communication; Sales calls; Partner reviews
Process & Methodology
Roadmap planning
Full Job Description
## 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). ## What Yo
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