Product Manager, Fraud Data

Stack

Responsibilities

• ▹Own the feature roadmap for Protect: what to build, how to validate it, how to measure coverage and fill rates
• ▹Build and manage the labeling pipeline as a product, including customer retros and the label feedback loop into model training
• ▹Define product requirements for fraud vector scores: signal selection, precision/recall targets, customer-facing output design
• ▹Partner with data scientists and MLEs as a day-to-day collaborator, translating between model and product needs in both directions
• ▹Work with GTM and the Protect PM on translating attribute improvements and new scores into customer-facing value

Requirements

• ▹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

Nice to have

• ▹Experience at a fraud vendor (SentiLink, Sardine, Socure, Persona, Incode) or a fraud operations team at a large fintech or bank
• ▹Background with ML model inputs/outputs: feature engineering, offline evaluation, experimentation to production
• ▹Specialization in a specific fraud vector (account takeover, synthetic identity, or first-party fraud)

Soft skills

What we offer

• ▹Comprehensive benefits package including medical, dental, and vision insurance, plus a 401(k) plan
• ▹Additional compensation in the form of equity and/or commission depending on the role

About the company

Plaid believes the way people interact with their finances will drastically improve in the coming years. It builds the tools and experiences used by thousands of developers to create their own products, with a network covering 12,000 financial institutions across the US, Canada, UK, and Europe. Founded in 2013, Plaid is headquartered in San Francisco with offices in New York, Washington D.C., London, and Amsterdam.