Unit21 Benefits Overview

Own customer implementations from contract through go-live for fraud and AML programs. Design data integrations, map schemas, validate data, build detection rules, configure AI investigation agents, and establish case workflows. Manage timelines and stakeholder communication across multiple implementations, train customer teams, create reusable playbooks, and share customer insights with Product and Engineering. The role requires hands-on technical expertise with APIs, SQL, ETL, programming, data integration, fraud detection logic, and LLM-based workflows.

Manage strategic enterprise customer relationships, retention, expansion, and account strategy. Lead value-based negotiations for $200K+ ARR accounts, identify fraud and AML workflow opportunities, conduct product demonstrations and executive business reviews, advocate for customers internally, synthesize feedback, and improve processes. Requires strong project management, organization, product-learning ability, and willingness to travel to customer sites as needed.

Build scalable full-stack automation and AI systems for fraud detection, including intuitive interfaces, distributed systems, APIs, data flows, and infrastructure. Lead projects, collaborate with product and design, review code, develop new fraud-detection features, and deploy reliable software. The role requires strong software engineering fundamentals and experience with Python, Go, or Rust; React; Material UI; AWS; Terraform; SQL; and production systems.