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Product Manager, Fraud Data
PlaidProduct Manager specializing in building trusted identities and fraud detection systems at fintech company Plaid. Collaborating with data scientists and engineers for product success.
Posted 7/28/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSenior💰 $190,800 - $262,800 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in fraud prevention, including hands-on experience with fraud vectors and detection systems, while effectively collaborating with data scientists and ML engineers to develop data-driven products.
Highest-signal resume keywords
Fraud Prevention ExperienceFraud VectorsDetection SystemsRisk Signal EvaluationCollaboration With Data Scientists
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Industry Keywords
Feature RoadmapLabeling PipelineProduct RequirementsFraud Vector ScoresSignal SelectionPrecision/Recall TargetsCustomer-Facing Output DesignData PartnershipsLabel Feedback LoopCustomer Value Propositions
About the role
Key responsibilities & impact- Own the feature roadmap for Protect: what we build, how we validate it, and how we measure coverage and fill rates
- Build and manage the labeling pipeline as a product, including customer retros, data partnerships, and the label feedback loop into model training
- Define the product requirements for fraud vector scores, including signal selection, precision/recall targets, and customer-facing output design
- Partner with data scientists and MLEs as a day-to-day collaborator, not just a requester. Translate between model needs and product requirements in both directions
- Work with GTM and Protect PM on how attribute improvements and new scores translate into customer-facing value propositions.
Requirements
What you’ll need- Real hands-on fraud prevention experience: fraud vectors, detection systems, risk signal evaluation.
- Direct experience collaborating with data scientists or ML engineers to ship data-driven products.
Benefits
Comp & perks- Additional compensation in the form(s) of equity and/or commission are dependent on the position offered.
- Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k).