Product-oriented senior ML role to build, deploy, and operate models and ML systems (classification, extraction, entity resolution, clustering, ranking, anomaly detection, forecasting, LLM pipelines). Define datasets, labeling, evaluations, monitoring, and collaborate with engineering and product to ship production-quality training/inference pipelines and model-serving infrastructure.

Build and maintain scalable full-stack web applications and data ingestion pipelines. Design flexible data models and third-party integrations, ship customer-facing and internal tooling, ensure robust automated testing and deployments, review code, and troubleshoot critical production issues while collaborating with product and data science teams.

Own full-cycle new business development for a named enterprise territory, building multi-stakeholder deals with CFO/Tax/Engineering buyers. Manage pipeline, forecast accurately, navigate procurement/legal/security cycles, contribute market feedback, and represent Neo.Tax at industry events.