LegitScript

Own the full lifecycle of ML models from data ingestion to deployment, focusing on building a risk detection system using LLMs and classical ML. Design and maintain scalable data pipelines and MLOps infrastructure to ensure model performance and business impact.

The role involves hunting for new enterprise logo business and managing the subsequent growth and retention of those accounts. The executive is responsible for the entire lifecycle from prospecting and closing complex deals to driving expansion revenue and renewals.

Lead the platform engineering team to build standardized Kubernetes deployment paths and self-service tooling for application engineers. Own the infrastructure's reliability, security compliance (SOC 2), and the CI/CD pipeline to reduce operational drag.