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This role involves owning aspects of data lifecycle for Auger's Supply Chain operating system, including schema design and data processing using AI and SQL.

Own and close enterprise deals for Auger's autonomous supply chain platform, navigate complex sales cycles, and lead cross-functional teams to secure contracts.

As a Senior Data Engineer at Auger, you will build data systems to transform customer data into a unified ontology for analytics and AI workflows, ensuring data quality and managing the data lifecycle.

Lead research and advisory services, creating insightful content on AI supply chains, advising clients, and enhancing Auger's market position through executive engagements.

The Principal Software Development Engineer will lead the data engineering team, develop data systems, ensure quality controls, and mentor engineers. Responsibilities include managing data lifecycle, implementing frameworks, and collaborating with cross-functional teams.

The Applied Scientist will design, deploy, and scale ML systems for supply chain risk forecasting, collaborating with economists and data engineers to optimize sourcing decisions and ensure models run effectively in production.