# Lead Product Manager, Data Sources

**Company:** [Truv](https://hotfix.jobs/companies/truv)
**Location:** Remote
**Role:** Product Management
**Experience:** 7+ years
**Skills:** Product Management, Data Infrastructure, Machine Learning, Fraud Detection, Financial Data Aggregation, Document Parsing, Ocr, API Design, Sla Management, Roadmapping
**Posted:** 2026-06-10

> Lead Product Manager owning the Data Sources platform that powers document ingestion, fraud detection, bank connectivity, and data reliability for Truv's verification products. Requires 7+ years PM experience in data/ML/fintech and strong technical fluency.

## Job Description

## What you'll do

- 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 You'll Own

### Document parsing
- Drive the roadmap for parsing income and document types
- Improve accuracy, reduce manual review, and shorten time-to-report
- Partner with Data Science on extraction models and with Ops on the human-in-the-loop pipeline

### Scaling document types
- Expand the catalog of supported document types beyond the current set
- Identify the highest-impact additions (by use case, client demand, and revenue impact), prioritize the rollout, and own the end-to-end product surface from upload to verified output

### Fraud detection
- Define and ship the fraud signal layer across data sources — document tampering detection, deposit-pattern anomalies, identity mismatches, and synthetic income flags
- Balance precision and recall against client-specific risk tolerances, and build the configuration surface for clients to tune

### Optimizing and scaling bank aggregation
- Lead the Truv's bank aggregation product, connection success rates, refresh cadence, transaction enrichment, and coverage
- Reduce drop-off, improve match rates, and expand FI coverage where it matters most for mortgage and tenant use cases

### SLAs and reliability
- Set, instrument, and defend SLAs across every data source: time-to-first-data, time-to-completed-report, refresh success rate, document parse accuracy, and bank connection uptime
- Drive the dashboards, alerts, and review cadence that make these visible — and the engineering work that makes them improve

## What we're looking for

- 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; can reason about extraction models, API tradeoffs, and pipeline architecture
- Track record of driving SLA / reliability outcomes
- Experience working with regulated industries (mortgage, lending, government) is a strong plus; GSE / FCRA / FNMA / FHLMC familiarity especially
- Strong written communication; writes the 1-pagers and specs that align the team
- Customer obsession; spends real time with users and lets what is learned 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

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