Teams at UP.Labs

Lead the data science function for a freight pricing venture: develop and deploy ML models for dynamic pricing, demand forecasting, elasticity, and load acceptance; design pricing experiments; partner with engineering to productionize and monitor models; validate business assumptions and set model governance; translate insights to product, commercial, and executive stakeholders.

Lead AI enablement and portfolio governance across UP.Labs companies: build reusable AI tools and workflows, support CEOs with operations and GTM, track company health via dashboards and reporting, and cultivate VC and operator relationships to drive capital, customers, and strategic support.

Lead backend architecture and system design for an AI-driven manufacturing planning platform. Build and scale a Node.js/Python stack with Azure Databricks, implement optimization and scheduling algorithms, establish engineering patterns, and mentor/lead a small early-stage engineering team while collaborating with product and data functions.