Jobs at Greenlite
AI agents for financial compliance
About Greenlite
AI agents for financial compliance
[ Open roles ]
- Financial Crime AnalystRemote
Financial Crime Analyst at Bretton AI investigates transactions, counterparties, and customer activity to identify financial crime. This role involves working with AI tooling to analyze patterns, separate false positives from genuine red flags, and escalate potential issues. The analyst will also provide direct feedback to Product and Engineering teams to improve AI capabilities.
- Solutions EngineerRemote
Solutions Engineer at Bretton AI, a remote role focused on bridging the gap between sales and prospective customers. This position involves demonstrating the value of AI agents for financial back-office operations, building trust, and accelerating deals by translating customer needs into technical solutions.
- Forward Deployed EngineerNot specified
Forward Deployed Engineer at Bretton AI works directly with customers to deploy and integrate the company's AI platform in financial institutions. This role involves engineering, customer deployments, and product discovery, requiring travel to customer sites to resolve technical challenges and ensure successful implementation.
- Enterprise Account ExecutiveRemote
Enterprise Account Executive at Bretton AI, a company providing AI-native operations for the financial back office. This role involves owning the full sales cycle for large, strategic accounts within banks and fintechs, focusing on financial crime fighting solutions.
- Software Engineer, ProductNot specified
Product Engineer at Bretton AI, a company providing AI-native operations for financial back offices. This role involves owning substantial features from conception to production, working directly with customers, designing scalable architectures, and shipping code to improve compliance operations.
- Software Engineer, InfrastructureNot specified
Senior Infrastructure Engineer at Bretton AI responsible for the foundation of secure, compliant AI systems for financial institutions. This role involves owning and evolving Kubernetes infrastructure, designing progressive delivery pipelines, building observability in Datadog, and driving incident response.