Teams at Crogl, Inc.

Build and evaluate LLM-powered agentic systems for security operations: implement features, create evaluation frameworks, automated benchmarks and regression tests, investigate failures, experiment with prompting/retrieval/planning, build infrastructure for deployment and monitoring, and collaborate with customers and product teams to improve agent performance and reliability.

Prospect and qualify inbound/outbound leads for commercial enterprise and mid-market accounts, book meetings for AEs, maintain CRM records in HubSpot, and collaborate with Sales, Marketing, and Product to refine messaging for security operations buyers.

Work on product AI team combining research and development to create and test security-focused AI use cases. Generate threat data, emulate APT attacks, write Python and shell automation, build repeatable tests, evaluate AI model effectiveness for SOC workflows, and influence engineering priorities through data-driven findings.