Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence by building multi-agent AI systems that can automate complex business workflows across platforms like SAP, Salesforce, Workday, Snowflake, MuleSoft, and more. This role aims to enable Forward Deployment Engineers (FDEs) to deliver AI-driven ERP modernization rapidly and safely, directly impacting migration acceleration, operational continuity, and data-driven decision-making.
Requirements
- Strong SQL skills, including complex joins and queries across multi-schema relational environments.
- Proficiency in Python or a comparable language for data processing, automation, and pipeline logic.
- Solid foundations in relational data modeling, schema mapping, and normalized/denormalized design.
- Experience working with enterprise systems such as SAP S/4HANA, Salesforce, finance systems, or cloud data warehouses.
- Hands-on experience building and maintaining ETL pipelines for structured/tabular data.
- Familiarity with distributed data processing (e.g., PySpark) and upstream MLOps concepts applied to structured datasets is a plus.
- Demonstrated ability to navigate messy, fragmented enterprise data landscapes with inconsistent schemas and cross-system duplication.
Responsibilities
- Integrate, reconcile, and standardize structured data across ERP, CRM, finance, and analytics systems.
- Design and implement ETL/ELT pipelines that unify data across enterprise systems for AI-driven use cases.
- Build logic to clean, transform, validate, and prepare structured/tabular datasets for operational and analytical workflows.
- Analyze complex enterprise schemas, including poorly documented or evolving structures, and document entity relationships across systems.
- Monitor, troubleshoot, and optimize data pipelines to ensure consistent, high-quality delivery at scale.
- Prepare structured datasets for multi-agent AI platforms, orchestration engines, and decisioning systems, applying lightweight upstream MLOps practices where appropriate.
- Work directly with FDEs, architects, and client teams to solve complex enterprise modernization challenges.
Other
- Comfortable working in a startup environment with high ownership and rapid iteration.
- Able to think like an engineer while navigating organizational and stakeholder dynamics.
- Communicates clearly and concisely, adjusting depth and detail to the audience.
- Operates effectively with incomplete information and adapts quickly to change.
- Uses AI-assisted tools thoughtfully to accelerate engineering productivity and solution delivery.
