Design, build, and maintain backend APIs and services for a real-time supply chain visibility platform. Own system architecture, real-time event ingestion, data normalization, ML integration, monitoring, and production debugging while collaborating with Product and Data Science to deliver scalable, high-availability features.

Lead and align Engineering, ML, and Analytics to deliver scalable, reliable production AI and data systems. Own technical direction, architecture, MLOps, and platform reliability while partnering with Product, Sales, and Customers to ensure engineering work maps to measurable business outcomes.

Lead Engineering, ML/Data Science, and Analytics teams to build scalable production AI/ML systems and data platforms. Own technical direction, architecture, MLOps, real-time data pipelines, and align engineering with product and business outcomes while hiring and mentoring senior talent.