Teams at WISEcode

Build and operate WISEcode’s food data lakehouse using Python, SQL, DuckLake, S3 Parquet, Postgres, and Prefect. Responsibilities include source ingestion, entity resolution, pipeline consolidation, data enrichment, downstream connectors, data quality reporting, configuration discipline, and architectural documentation. The role requires designing and shipping production lakehouse or warehouse systems, managing scalable API-driven pipelines, and collaborating closely with engineers in a fully remote environment.

Own the design and implementation of WISEcode’s automated quality engineering ecosystem. Build AI-augmented UI, API, integration, regression, database, performance, and reliability testing frameworks for ASP.NET and Blazor applications. Integrate testing into CI/CD, improve observability and release confidence, investigate failures and race conditions, validate AI/ML outputs, and establish scalable quality standards and metrics across engineering teams.

Own zero-to-one software product development for grocery retail and CPG customers, from discovery and validation through MVP, pilot, launch, and revenue. Conduct customer research, define requirements and success metrics, translate food intelligence and AI capabilities into products, coordinate Science, Data, and Engineering teams, lead agile ceremonies, manage partner pilots, and support demos, RFPs, and commercial growth.