Lead Product Manager, Veriff Network

Veriff

7d•Remote

About The Position

Veriff is hiring a Lead Product Manager for Fraud on its Veriff Network team. The role focuses on making the fraud detection, prevention, and accuracy capabilities of Veriff’s identity verification platform clear and actionable for customers, while building a network product that benefits from shared customer signals. The product manager will own customer-facing fraud experiences, including a Feedback API, fraud insights in Station (Veriff’s customer portal), and automated fraud reporting. They will lead customer engagement to create feedback loops in which customers share outcomes and signals, improving detection for platforms across the network. This is one of the first roles on the Veriff Network and will help shape how Veriff packages, sells, and grows its fraud offering. Within the first 90 days, the role is expected to assess the fraud roadmap and packaging, agree on a revised version with product and fraud leadership, and identify the top three to five improvements, with the highest-priority items shaped and in development. By six months, an updated offering should be live with design and beta partners. By nine to twelve months, a shared-signal pilot should be underway with a set of platforms. By twelve months, improved fraud products should be generally available and measurably helping attract and close deals with core customer segments. Veriff describes itself as an AI-powered identity verification and fraud prevention platform operating in more than 230 countries and territories. The company has a diverse team in the United States, United Kingdom, Spain, and Estonia. The role is associated with a remote listing (#LI-Remote).

Requirements

Has shipped fraud or risk products, or has been responsible for fighting fraud and managing risk at a scaled, digital-native company.
Understands fraud attack patterns, the day-to-day work of fraud teams, and the real-world precision/recall trade-off.
Has worked on network-effect or marketplace data products where participant incentives and feedback loops are central.
Can specify a signal, interpret model evaluations, and ship and manage a rules engine.
Can distinguish what to build directly from what should be owned by data science.
Can conduct customer discovery with fraud and trust leaders at platforms and turn findings into a clear roadmap.

Nice To Haves

Experience building products with operations teams and translating fraud operations experts’ practical judgment into product.
Strong cross-functional collaboration skills, particularly if the candidate has not worked closely with an operations team.
Experience shaping product pricing and sales packaging, and working on deals alongside Sales.

Responsibilities

Assess the fraud product roadmap and packaging, and agree on a revised version with product and fraud leadership.
Identify the top three to five fraud product improvements and shape the highest-priority items for development.
Own customer-facing fraud product experiences, including a Feedback API, fraud insights in Station, and automated fraud reporting.
Lead customer engagement to establish feedback loops through which customers share outcomes and signals that improve fraud detection across the network.
Develop a shared-signal pilot with participating platforms as an initial step toward a cross-platform fraud network.
Bring improved fraud products to general availability and help them attract and close deals with core customer segments.
Translate knowledge and judgment from fraud operations experts into product, working cross-functionally as needed.