Data Engineer - Enterprise AI, ERP and SaaS

About this role

Location
: San Jose, CA or New York City


Remote
: Considered; travel required


About Tessera Labs
Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding team, we build multi-agent AI systems that can automate complex business workflows across platforms like SAP, Salesforce, Workday, Snowflake, MuleSoft, and more.


Our mission
: Bring real AI automation to the enterprise — with speed, precision, and measurable impact. We move fast, operate with extreme ownership, and build at the frontier of applied AI.


Why This Role Matters
Enable FDEs to deliver AI-driven ERP modernization rapidly and safely. Directly impact migration acceleration, operational continuity, and data-driven decision-making. Shape the foundation for enterprise-scale AI and analytics solutions across complex landscapes. Work at the cutting edge of enterprise AI, ERP transformation, and multi-agent automation, where your data engineering expertise accelerates business outcomes.


Role Summary
As a Data Engineer, you will work closely with Forward Deployment Engineers (FDEs) to enable rapid ERP modernization and AI-driven transformation for enterprise clients. The focus of this role is data harmonization, cross-system integration, and pipeline development, ensuring that AI solutions and enterprise workflows are powered by clean, reliable, and well-structured data.


The role emphasizes ETL, relational schema modeling and mapping, joins, data cleaning, and pipeline logic for structured/tabular data. It includes a lightweight upstream MLOps component limited to structured datasets, which may involve distributed processing using PySpark or ML data engineering techniques. There are no downstream responsibilities related to model training, model serving, or deployment.


This position requires deeper ERP-centric data understanding than a typical ML data ...