Trellis, a YC and General Catalyst-backed startup emerging from the Stanford AI lab, is seeking a Founding Engineer with a strong backend focus to join their innovative team. The company is revolutionizing unstructured data handling by converting various data types (financial documents, insurance policies, chat logs) into SQL-compliant tables.
As a Founding Engineer, you'll be at the cutting edge of AI and Data infrastructure, building a new data platform while working directly with Fortune 500 enterprise clients. The role offers the unique opportunity to join a world-class team featuring international physics olympiad winners and Stanford graduate-level instructors.
The position requires expertise in Python, TypeScript, or Go, along with strong experience in database design and data pipelines. You'll be working with both relational and non-relational databases, particularly PostgreSQL, and handling cloud platforms and containerization technologies.
What makes this role special is the level of ownership and impact you'll have. As an early team member, you'll wear multiple hats and own new products end-to-end. You'll be working alongside technical founders who are engineers themselves, not business majors, ensuring a deep understanding of the technical challenges and opportunities.
The company's platform enables enterprises to unlock hidden revenue in customer data, enhance RAG applications with analytical capabilities, and enrich data warehouses with business-critical information. With backing from early investors and executives in Google, Salesforce, and JP Morgan Chase, Trellis offers an exciting opportunity to shape the future of unstructured data processing.