Lead Product Manager, Data Sources

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