Product Manager (Senior) — Fraud Detection & Operational Intelligence

Das ist der Job

Block Labs is a technology studio building products across Web3, Artificial Intelligence, and iGaming.

Darum lohnt es sich

The position requires experience with fraud, AML, payments risk, decisioning systems, and compliance‑focused products while working closely with design, engineering, QA, delivery, data, and AI teams. Lead cross‑functional collaboration across design, development, QA, and delivery teams while maintaining alignment and accountability for outcomes.

Conduct discovery sessions with operators, fraud teams, compliance stakeholders, analysts, casino teams, payment specialists, and internal subject‑matter experts. The company develops large-scale digital platforms, decentralized financial infrastructure, and AI‑powered systems with a focus on long‑term architecture and product ownership.

This Product Manager role owns the full lifecycle of Shield and Insights, two core modules within a white‑label casino platform.

Shield focuses on fraud prevention, risk scoring, compliance workflows, case management, auditability, and transaction monitoring, while Insights provides operational intelligence through dashboards, alerts, reporting, and root‑cause analysis.

These responsibilities align closely with blockchain infrastructure roles that require operational accuracy and high‑trust decision systems. Responsibilities Own the complete product lifecycle for Shield and Insights, including vision, roadmap, discovery, prioritisation, requirements, and ongoing iteration.

Improve Shield outcomes through faster case reviews, improved decision quality, reduced false positives, stronger auditability, clearer reason codes, and more consistent review processes. Improve Insights outcomes through more relevant alerts, useful reporting, stronger root‑cause analysis, and faster interpretation of business performance changes.

Create and maintain product artefacts including problem definitions, workflows, user journeys, metrics, assumptions, constraints, trade‑offs, and decision records. Translate fraud, AML, payments, gameplay, bonus abuse, and operational intelligence requirements into actionable product requirements.

Define Shield capabilities covering risk scoring, decision logic, case management workflows, review queues, audit logs, permissions, escalation processes, and reason codes. Define Insights capabilities including KPI frameworks, monitoring interfaces, reports, alerts, baseline comparisons, and AI‑assisted analytical experiences.

Work closely with the Data and AI Technical Product Manager to deliver clear requirements for supporting data and AI initiatives. Use operational and product data to validate assumptions and guide prioritisation decisions. Engage stakeholders effectively while maintaining ownership of product priorities and trade‑off decisions.

For organizations seeking web3 talent acquisition strategy expertise, product leaders with fraud and compliance experience are increasingly critical to platform scalability. Requirements Minimum 3+ years of Product Management experience.

Experience owning or contributing significantly to fraud, risk, compliance, AML, payments risk, transaction monitoring, decisioning, or case management products. Experience working with products involving complex backend logic, workflow automation, scoring models, operational decisions, and data dependencies.

Strong knowledge of Product Management practices including discovery, prioritisation, delivery, stakeholder management, iteration, and requirements definition. Strong data literacy with the ability to transform operational insights into product decisions.

Experience operating within compliance‑driven, regulated, financial, or high‑trust environments. Experience in iGaming, casino, sportsbook, or gambling products is beneficial. Familiarity with AML/KYT, wallet risk, KYC, identity risk, payment fraud, device intelligence, withdrawal risk, or chargeback prevention.

Experience with risk engines, fraud tooling, compliance platforms, review systems, and case management products. Experience integrating third‑party providers such as Chainalysis, TRM, Elliptic, SEON, FingerprintJS, ThreatMetrix, Sumsub, Onfido, PSPs, or onramp providers.

Exposure to bonus abuse prevention, multi‑account detection, gameplay risk analysis, account velocity monitoring, and operator back‑office processes. Experience building dashboards, reporting systems, anomaly detection tools, alerts, and operational intelligence products.

Experience working within B2B, SaaS, platform, or white‑label product environments. Practical understanding of AI‑assisted workflows including analysis, summaries, alerting, and decision‑support systems. #J-18808-Ljbffr