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Senior Product Manager, Fraud Detection &amp; ID Verification We’re hiring a Senior PM to own a fraud detection engine responsible for detecting document fraud and verifying identity document integrity. This is a highly technical, execution-focused role, approximately 70% product development, 30% go-to-market combining machine learning, computer vision, and fraud decisioning. What You’ll Do Detection &amp; Roadmap•       Own roadmap and execution for a fraud detection engine covering injection attacks, deepfakes, and document manipulation•       Partner with Data Science to define, evaluate, and improve model performance across fraud vectors Decisioning &amp; Risk Logic•       Design and evolve decisioning frameworks that translate model outputs into actionable outcomes•       Build configurable logic supporting diverse customer risk profiles while balancing fraud detection performance with conversion impact Data &amp; Performance•       Write SQL to evaluate model performance, decisioning outcomes, and conversion impact•       Define and track key metrics: detection rates, precision/recall, false positive rates, and UX impact Cross-Functional &amp; GTM•       Translate product requirements into technical execution with Engineering and Data Science•       Partner with Fraud Investigation, Customer Success, and Sales to align on product behavior and outcomes•       Work directly with customers on fraud edge cases, operational needs, and complex implementations What You Bring Required•       3–5 years of PM experience in identity verification, fraud prevention, or ML-driven products•       Hands-on familiarity with the ML lifecycle: data labeling, model training, deployment, and monitoring•       Exposure to computer vision, OCR, or image processing•       Experience with fraud detection, identity verification flows, or risk-based decisioning•       SQL proficiency: can write queries independently to evaluate model and product outcomes•       Technical fluency in APIs, databases, and product architecture•       Proven cross-functional partnership with Data Science and Engineering as a contributor, not just a stakeholder Nice to Have•       Data science or engineering background•       Experience in public sector or financial services identity/fraud products

Senior Product Manager, Fraud Detection & ID Verification

We’re hiring a Senior PM to own a fraud detection engine
responsible for detecting document fraud and verifying identity
document integrity. This is a highly technical, execution-focused
role, approximately 70% product development, 30% go-to-market
combining machine learning, computer vision, and fraud
decisioning.

What You’ll Do

Detection & Roadmap

• Own roadmap and execution for a fraud detection engine
covering injection attacks, deepfakes, and document manipulation

• Partner with Data Science to define, evaluate, and
improve model performance across fraud vectors

Decisioning & Risk Logic

• Design and evolve decisioning frameworks that translate
model outputs into actionable outcomes

• Build configurable logic supporting diverse customer risk
profiles while balancing fraud detection performance with
conversion impact

Data & Performance

• Write SQL to evaluate model performance, decisioning
outcomes, and conversion impact

• Define and track key metrics: detection rates,
precision/recall, false positive rates, and UX impact

Cross-Functional & GTM

• Translate product requirements into technical execution
with Engineering and Data Science

• Partner with Fraud Investigation, Customer Success, and
Sales to align on product behavior and outcomes

• Work directly with customers on fraud edge cases,
operational needs, and complex implementations

What You Bring

Required

• 3–5 years of PM experience in identity verification,
fraud prevention, or ML-driven products

• Hands-on familiarity with the ML lifecycle: data
labeling, model training, deployment, and monitoring

• Exposure to computer vision, OCR, or image processing

• Experience with fraud detection, identity verification
flows, or risk-based decisioning

• SQL proficiency: can write queries independently to
evaluate model and product outcomes

• Technical fluency in APIs, databases, and product
architecture

• Proven cross-functional partnership with Data Science and
Engineering as a contributor, not just a stakeholder

Nice to Have

• Data science or engineering background

• Experience in public sector or financial services
identity/fraud products

Percentage

Technology

Joe Watts

Active - OPEN

Principal Product Manager | Document Verification (DocV) | Miami, NYC, Seattle,  SF Bay Area

Principal Product Manager | Document Verification (DocV) | Miami, NYC, Seattle, SF Bay Area

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Job Description