Jobs at G2 Risk Solutions

Own the roadmap, modernization, strategy, and growth of merchant onboarding and monitoring products for financial institutions and payment providers. Lead customer transitions, define requirements, prioritize backlogs, collaborate with Engineering and Data Science, evaluate product performance, and support go-to-market readiness. The role requires strong technical fluency in SQL, APIs, data models, AI-enabled solutions, and business-case development, along with customer engagement and cross-functional leadership.

Own retention, renewals, account strategy, customer health, and growth opportunities for strategic Bankruptcy Risk customers. Build executive relationships with financial institutions, lead onboarding and implementation, coordinate issue resolution, conduct business reviews, and partner with Sales, Product, Engineering, Legal, and Operations. Use account data to identify risks and opportunities, deliver tailored customer education, improve processes, and lead the team toward stronger adoption, customer outcomes, and recurring revenue.

Own retention, renewals, account health, and growth opportunities for strategic Bankruptcy Risk customers. Build executive relationships, lead business reviews, manage onboarding and implementations, coordinate issue resolution, and partner with Sales, Product, Engineering, and Operations. Develop account strategies, mitigate risks, communicate customer feedback, provide tailored education, and improve customer success processes while leading and motivating the team.

Leads the Americas Customer Success organization and approximately seven managers supporting strategic and enterprise customers. Owns retention, renewals, growth, customer outcomes, Net Revenue Retention, and CSQL generation. Partners with Sales, Product, Compliance Operations, Support, Marketing, and Revenue Operations to drive value realization and portfolio health. Builds scalable customer success programs, leads executive engagements, manages distributed teams, and supports customer meetings and industry events.

Own end-to-end data science for fraud and risk detection products, including LLM and classical ML modeling, prompt engineering, evaluation, experimentation, monitoring, and production deployment. Partner with engineers on real-time streaming and batch systems while defining data-quality metrics, observability, labeling strategies, and performance improvements for adversarial, imperfectly labeled data.

Design and develop scalable Java backend services for a merchant risk platform. Build microservices on AWS, solve performance and business-logic challenges, own features from design through production, review code and architecture, and collaborate with product, data, and engineering teams. Contribute to AI-first development practices, platform architecture, engineering improvements, and merchant-classification capabilities.