Truv

1 month ago

Lead Product Manager, Data Sources

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Lead the Data Sources platform at a fintech-focused data-verification company, owning roadmap, specs, and delivery for document ingestion, fraud detection, bank connectivity, and data reliability across Truv products. Collaborate with Eng, Data Science, Fraud, Ops, and GTM to improve coverage, reliability, and customer outcomes in regulated industries.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Product Management

Seniority: Sr. Manager level

Key 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.

Key Requirements

•7+ years in product management, with significant time in data, ML/AI, fintech, or verification/identity platforms.
•Experience owning a data-intensive product—document understanding, OCR, financial data aggregation, fraud, or similar—at meaningful scale.
•Strong technical fluency; ability to reason about extraction models, API tradeoffs, and pipeline architecture without heavy engineering hand-holding.
•Track record of driving SLA/reliability outcomes and improving key metrics (e.g., parse accuracy, fraud rate, bank connection success, SLA hit rate).
•Experience with regulated industries (mortgage, lending, government) is a strong plus (GSE/FCRA/FNMA/FHLMC familiarity).

Experience:7+ yearsFintechDataVerificationIdentityMachine learning

Skills:CommunicationLeadershipProblem-solvingStakeholder managementCustomer obsession

Languages:English

Tech Stack:Machine learningOCRAPIsData pipelines

Company Brief

Truv

Provides APIs for employment, income and identity verification that enable lenders, payroll providers, and fintechs to verify consumer data in real time while reducing fraud and manual processes.

Industry: Fintech Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2019

Website LinkedIn

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Truv

1 month ago

Lead Product Manager, Data Sources

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Product Management

Seniority: Sr. Manager level

Key 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.

Key Requirements

•7+ years in product management, with significant time in data, ML/AI, fintech, or verification/identity platforms.
•Experience owning a data-intensive product—document understanding, OCR, financial data aggregation, fraud, or similar—at meaningful scale.
•Strong technical fluency; ability to reason about extraction models, API tradeoffs, and pipeline architecture without heavy engineering hand-holding.
•Track record of driving SLA/reliability outcomes and improving key metrics (e.g., parse accuracy, fraud rate, bank connection success, SLA hit rate).
•Experience with regulated industries (mortgage, lending, government) is a strong plus (GSE/FCRA/FNMA/FHLMC familiarity).

Experience:7+ yearsFintechDataVerificationIdentityMachine learning

Skills:CommunicationLeadershipProblem-solvingStakeholder managementCustomer obsession

Languages:English

Tech Stack:Machine learningOCRAPIsData pipelines

Company Brief

Truv

Provides APIs for employment, income and identity verification that enable lenders, payroll providers, and fintechs to verify consumer data in real time while reducing fraud and manual processes.

Industry: Fintech Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2019

Website LinkedIn