Teams at Upshop

Develop and productionize retail demand forecasting and inventory optimization models using LightGBM, CatBoost, Python, and PySpark. Build Databricks-native training, inference, monitoring, and MLOps workflows with MLflow. Establish data validation, observability, testing, CI/CD, and reliable operational pipelines while partnering with Product and Data Engineering. Preferred experience includes supply chain optimization, Databricks advanced features, explainable AI, and CI/CD automation.

Owns the strategic operating model for Product and Engineering, including PDLC methodology, planning cadences, capacity planning, OKR traceability, executive dashboards, organizational documentation, and tooling strategy. The role leads a direct report, partners with executive stakeholders, manages operational maturity across product suites, and implements hands-on process and AI-assisted automation improvements. It will also assume increasing responsibility for vendor and contract management and budget and headcount planning.

Leads customer implementations from discovery through configuration, data onboarding, integration, testing, deployment, launch, and hypercare. Translates business requirements into software configurations and integration designs, troubleshoots data and workflow issues, facilitates workshops and training, manages deliverables and risks, and supports user adoption. Collaborates with customer stakeholders, IT teams, vendors, and internal Product, Engineering, Support, and Customer Success teams while improving implementation processes and documentation.