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.

Designs and maintains automated end-to-end and API tests using Cypress, WebDriverIO, and Karate. Develops test scripts with JavaScript or TypeScript in Node.js environments, executes test suites, analyzes results, identifies defects, and collaborates with engineering teams on resolution. The role contributes to test strategy, regression and performance testing, code reviews, test coverage, and continuous quality improvements.