VP of Product, Veriff Network

The Veriff Network team spans multiple critical areas, including Fraud, Registries, Human-Driven Accuracy (Verification Specialist Operations), Cross-linking, Data Suppliers, and Compliance Relationships. This team serves Trust, Fraud, and Risk teams in marketplaces and consumer fintech environments by building a data flywheel where every verification makes the next one smarter. This work matters because the Network serves as Veriff's third layer and its core moat, providing the ultimate reason customers choose to pick and stay with Veriff.

Today, the Network consists of six capabilities run as separate efforts, with no single owner accountable for strategy, monetization, or the data flywheel. This role exists to turn Veriff's Network into one cohesive product line and platform capability. You will own the strategy, the revenue model, and the data flywheel, acting as a cross-functional leader uniting engineering, data science, operations, and GTM teams.

• Complete an assessment of Veriff Network capabilities to determine where we stand relative to market needs, identifying our best opportunities to create compelling value and our weakest points.
• Deliver one unified Network strategy and roadmap across all six areas, signed off by the Leadership Team.
• Identify and initiate progress on necessary changes to Veriff’s terms of service, services agreements, and accuracy SLAs.

• Ensure Network signals (fraud intelligence, cross-linking, registries) measurably lift core verification, resulting in more fraud caught and fewer false rejects.
• Successfully package, price, and bring Fraud and Registries to market, booking the first ARR and building the pipeline.
• Put a supplier and compliance-relationship strategy in place that reduces supplier cost per verification and closes coverage gaps in priority markets.
• Establish strong senior PM leads for Fraud and Registries, and ensure Verification Specialist Ops runs on a joint product roadmap with the Operations team.

• Experience building products where data gets more valuable with scale, including leading the development of data network effects or ML capabilities.
• Deep knowledge of how fraudsters attack identity and how Trust, Fraud, and Risk teams buy within marketplaces, consumer fintech, or similar scaled enterprise environments.
• Familiarity with human-driven operations and ML/Data Science engineering, with a proven ability to align and influence parts of the organization you do not directly own.
• A strong monetization instinct with past experience turning technical capabilities into priced offers and owning revenue for a product line.