Lead Product Manager, Data Sources

Truv is building the infrastructure layer that powers consumer-permissioned income, employment, identity, and asset verification. They are seeking a Lead Product Manager to own and scale their Data Sources platform, focusing on document ingestion, fraud detection, and data reliability. The role involves collaborating with various teams to enhance product capabilities and improve customer satisfaction.

Responsibilities:

• 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)
• 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
• 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
• 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
• 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
• 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

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