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Trellis AI

Transforms unstructured data to structured SQL

Director of Engineering

Engineering LeadershipUpdated on Nov 9
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • Experience leading engineering teams at a fast-growing early-stage startup, from seed to Series B, ideally through rapid headcount growth.
  • A strong technical background and credibility with senior engineers, with the ability to go deep on architecture.
  • A track record of hiring and developing engineers.
  • Experience setting engineering practices that increased speed and quality.

Responsibilities

  • Hire, onboard, and grow engineers and engineering managers as the team doubles headcount, and set the bar for who the company hires.
  • Own engineering practices, including development environments, testing, code review, and shipping processes, so the team becomes faster as it grows.
  • Drive architecture and vendor decisions across the agent platform, Windows session fleet, and integrations using TypeScript, AWS, and Temporal.
  • Ensure the infrastructure scales beyond the $10 billion of therapies currently processed.
  • Remove obstacles for engineers and keep the platform, deployed, and product pods aligned on priorities.
  • Work with the founders, deployments, and go-to-market team to turn customer needs into a deliverable roadmap.

Desired Qualifications

  • Experience with distributed systems, cloud infrastructure, or AI/agentic products.
  • Healthcare experience.

About the Company

Trellis AI

Transforms unstructured data to structured SQL

Trellis AI provides an AI-powered data platform that converts unstructured enterprise data—from documents, calls, images, and emails—into structured, SQL-ready information for analytics and automated workflows. Its engine uses large language models to extract text and vision models to pull data from tables and layouts, with routing to balance cost and speed, plus anomaly detection and reference links for accuracy. Trellis also offers Trellis AI Studio, a spreadsheet-like no-code interface that lets business users design and scale document workflows without coding. By focusing on unstructured data and end-to-end document-to-SQL transformation, the company aims to speed underwriting, improve healthcare processes, and empower data teams to analyze information previously inaccessible.

Company size
11-50
Company stage
Seed
Total funding
$130K
Headquarters
San Francisco, CA
Founded
2023

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