AI-powered workflows for unstructured data, converting complex data sources into SQL-compliant tables.

Trellis is building an innovative AI-powered workflow platform for unstructured data, transforming various document types like financial documents, insurance policies, and chat logs into SQL-compliant tables. As a YC and General Catalyst-backed startup with support from early investors in Google, Salesforce, and JP Morgan Chase, we're at the forefront of AI and Data infrastructure innovation.

Our platform enables enterprises to unlock hidden revenue in customer data, enhance RAG applications with advanced analytical capabilities, and enrich data warehouses with business-critical information. We're particularly proud of our world-class team, including international physics olympiad winners and Stanford graduate-level instructors.

As a Founding Engineer, you'll have the unique opportunity to:
- Build a groundbreaking data platform while working directly with F500 enterprise clients
- Join an early-stage startup spun out from the Stanford AI lab
- Work alongside technically brilliant teammates
- Own new products end-to-end with significant autonomy
- Collaborate with engineering-focused founders

We're looking for someone who's passionate about building high-quality software with direct impact and enjoys wearing multiple hats. You'll be instrumental in architecting our systems, developing full-stack solutions, and helping shape the future of unstructured data processing.

The role offers competitive compensation ($110K - $225K with 0.10% - 1.50% equity) and the flexibility of working remotely or from our San Francisco office. If you're excited about transforming how enterprises handle unstructured data and want to be part of a fast-growing startup with strong backing, we'd love to hear from you.

Founding Engineer role at Trellis, building AI-powered workflows for unstructured data conversion to SQL-compliant tables.

Founding Engineer (Fullstack, Backend focus)

Trellis is building an AI-powered workflow for unstructured data, transforming complex data sources like financial documents, insurance policies, and chat logs into SQL-compliant tables. As a YC and General Catalyst-backed startup with support from early investors in Google, Salesforce, and JP Morgan Chase, we're revolutionizing data infrastructure.

Our platform enables enterprises to unlock hidden revenue in customer data, enhance RAG applications with analytical capabilities, and enrich data warehouses with business-critical information. We're particularly proud of our world-class team, including international physics olympiad winners and Stanford graduate-level instructors.

As a Founding Backend Engineer, you'll:
- Be at the forefront of AI and Data infrastructure innovation
- Join an early-stage startup spun out from the Stanford AI lab
- Work directly with F500 enterprise clients
- Have extreme ownership over end-to-end product development
- Collaborate with technical founders who are engineers, not business majors

We're looking for someone who's passionate about building high-quality software with direct impact. You'll be instrumental in architecting our platform from the ground up, working with cutting-edge technologies in AI, ML, and cloud infrastructure.

The role offers a unique opportunity to shape the future of unstructured data processing while working alongside exceptional talent. You'll be part of a team that values technical excellence, innovation, and direct impact on business outcomes. If you're excited about transforming how enterprises handle complex data while working in a fast-paced, engineering-driven environment, this role is for you.

Founding Backend Engineer position at Trellis, building AI-powered workflows for unstructured data transformation.

Founding Engineer (Product Engineering, Backend)

Series A startup simplifying and automating home and auto insurance shopping using ML-powered recommendations and GenAI conversational interface.

Trellis, a Series A startup backed by prominent VCs like General Catalyst and Amex Ventures, is revolutionizing the home and auto insurance shopping experience through ML-powered recommendations and GenAI interfaces. We're seeking a Principal Software Engineer/Tech Lead to head our Real-Time Bidding operations, reporting directly to the CEO.

This role combines technical leadership with business impact, managing over $100 million in programmatic marketing spend. You'll be responsible for building and optimizing our bidding systems, ensuring maximum ROI while maintaining high performance and reliability. The position requires expertise in backend engineering (Python, NodeJS), ML productionalization, and data systems management.

We offer a fully remote work environment with a competitive compensation package including equity and comprehensive benefits. Our culture emphasizes extreme ownership, speed, craft, collaboration, and positivity. Led by a successful fintech entrepreneur, we're building a transparent, fast-moving team focused on transforming the insurance industry.

The ideal candidate will bring strong technical expertise, business acumen, and leadership skills. You'll work on challenging problems in real-time bidding, machine learning, and large-scale data systems while building and mentoring a high-performing engineering team. This is an opportunity to join a profitable, fast-growing startup and make a significant impact on both the technical and business aspects of our operation.

Lead real-time bidding systems and ML operations at Trellis, managing $100M+ marketing spend while building high-performance backend systems.

Principal Software Engineer / Tech Lead, Head of Real-Time Bidding

AI-powered workflows for unstructured data

Trellis is building an AI-powered workflow for unstructured data, turning unstructured data (e.g., financial documents, insurance policies, chat logs, etc.) into SQL-compliant tables. We're currently backed by YC, General Catalyst, and early investors/executives in Google, Salesforce, and JP Morgan Chase.

Why work with us?
• Be at the forefront of what's possible in AI and Data infrastructure. Build a new data platform from the ground up while collaborating with F500 enterprise clients.
• You get the chance to be an early team member at a YC/GC -backed startup spun-out from the Stanford AI lab.
• Join a world-class team (e.g., team members have previously won the international physics olympiad, published economics research, and taught graduate-level Big Data systems class at Stanford).
• You are passionate about building high quality software that have direct impact.
• Extreme ownership: You enjoy wearing different hats and own new product end-to-end.
• You work with founders who are engineers, not business majors.

Requirements:
• Experience architecting, developing, and testing full-stack code end-to-end
• Expertise in programming languages such as Python, Go and ML/NLP libraries such as PyTorch, Tensorflow, Transformers.
• Being proactive and a fast-learner with bias for action.
• Open source contributions and projects are a big plus.
• Experience working with relational and non-relational databases, especially Postgres
• Experience with data and ML infra
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

About Trellis:
Trellis converts your unstructured data into SQL-compliant tables with a schema you define in natural language. With Trellis, you can now run SQL queries on complex data sources like financial documents, contracts, and emails. Our AI engine guarantees accurate schema and results.

Leading enterprises use Trellis to:
1. Unlock hidden revenue in their customer data (e.g., Underwriting teams use Trellis to extract key features from transaction data and build better risk models.)
2. Supercharge RAG applications by enabling end-users to ask analytical questions not possible before with traditional Vector DB (e.g., what are the top three features that users are requesting)
3. Enrich their data warehouse with business-critical information (e.g., Retrieving detailed pricing and quantity information of products sold on competitor websites)

Join Trellis as a Founding Engineer (Backend, AI) to build AI-powered workflows for unstructured data, working with cutting-edge technologies and collaborating with F500 clients.

Trellis Engineering Jobs

AI-powered workflows for unstructured data, converting complex data sources into SQL-compliant tables.