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Trellis AI

Transforms unstructured data to structured SQL

Deployment Operations Specialist

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • At least 2 years of experience in operations, implementation, customer success, or a similar role.
  • Strong problem-solving skills and comfort working with technical tools and data.
  • Excellent written communication and the ability to explain an issue concisely.
  • High ownership and the ability to manage multiple customers and priorities simultaneously.

Responsibilities

  • Monitor agent runs across customers, triage exceptions, and resolve cases that require human intervention.
  • Configure agent workflows using customer standard operating procedures, screen recordings, and payer requirements.
  • Test new workflows before go-live and review early output during customer onboarding.
  • Identify recurring failures, document them clearly with examples, and work with engineering to resolve root causes.
  • Serve as a day-to-day contact for customer operations teams and keep them informed.
  • Measure throughput, accuracy, and turnaround time, and report how much work Trellis is taking off each customer's team.

Desired Qualifications

  • Experience in healthcare operations, revenue cycle, or prior authorization.
  • Experience with SQL, scripting, or workflow automation tools.
  • Experience at a fast-growing startup.

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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