Tessera compresses ERP modernization from years to weeks with governed, multi-agent AI. Backed by a16z.
About the role
Provide the data backbone for enterprise analytics, AI, and automation
What they're looking for
- Work closely with ERP functional teams and Functional Data Experts (FDEs) to translate business rules into technical implementations
- SQL transformation logic
- Python-based processing pipelines
- Validation and reconciliation frameworks
- 5–8+ years of experience in Data Engineering, Data Integration, or Data Platform development
More about this role
Remote : Considered; travel required
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 automate complex business workflows across platforms such as SAP, Salesforce, Workday, Snowflake, MuleSoft, and more.
Our mission is to bring real AI automation to the enterprise—delivering speed, precision, and measurable impact. We operate with extreme ownership, move quickly, and build at the frontier of applied AI.
We are seeking a Senior Data Engineer to design and build scalable data solutions that harmonize enterprise data across multiple ERP ecosystems. This role focuses on integrating and standardizing data from Sage ERP , Baan / Infor LN , Oracle ERP , SaaS ERP platforms (such as NetSuite), and other enterprise systems into unified data models.
The engineer will collaborate closely with ERP functional teams, Functional Data Experts (FDEs), and product engineers to translate complex business logic into robust data transformation pipelines and canonical enterprise data models.
This role requires strong experience in SQL, Python, enterprise...
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