# Trellis helps healthcare providers treat more patients faster—while eliminating pre-service paperwork. We do this by automating document intake, prior authorizations, and appeals at scale to streamline operations and accelerate care. Trellis is a spinout from Stanford AI lab and is backed by leading investors including YC, General Catalyst, Telesoft partners, and executives at Google and Salesforce.
### **The Role**
Forward Deployed Engineers (FDEs) at Trellis work directly with healthcare providers, pharmaceutical companies, and diagnostic labs to understand their most pressing operational challenges and implement AI-powered solutions that transform patient care. Our customers trust Trellis for mission-critical healthcare operations, and projects often start with complex questions like "How do we reduce prior authorization denial rates while accelerating patient access to life-saving treatments?" or "How can we streamline our drug program enrollment process to get patients the medications they need faster?"
### **♂️Why work with us**
- Be at the forefront of what's possible in AI and Healthcare data.
- Work on the most important problem of our time—with direct, measurable impact.
- You will work closely with the F500 customers and the founding team. You will get to wear multiple hats from sales and marketing to recruiting.
- Extreme ownership: you will own key part of Trellis business operations and have the opportunities to start new initiatives.
- Be a part of a world-class team (e.g., team members have previously won the international physics olympiad, published economics research, were a founding engineer at Unicorn Startup, and taught AI classes to hundreds of Stanford graduate students).
## Requirements
- **Core Responsibilities:** As an FDE, your role combines the technical depth of a senior engineer with the strategic thinking of a healthcare consultant. You'll work in small, autonomous teams with direct access to leadership and own end-to-end delivery of high-impact projects. Your day might include:
- **Technical Implementation:** Architecting and building custom AI workflows, integrating with EHR systems, and developing healthcare-specific data pipelines
- **Customer Collaboration:** Working directly with clinical teams, operations managers, and C-suite executives to understand workflows and optimize outcomes
- **Data Engineering:** Processing and structuring complex healthcare data, from clinical notes to insurance guidelines to lab results
- **Product Development:** Building custom interfaces and tools that seamlessly integrate into existing healthcare workflows
- **Strategic Planning:** Establishing implementation roadmaps and success metrics for large-scale healthcare transformation projects