GTM Engineer
About the role
Trellis AI is building AI-powered agents to accelerate patient access to life-saving medications. The GTM Engineer will own prospecting, pipeline generation, and the automation and data workflows that scale outbound sales for Trellis’ AI-driven GTM engine.
Responsibilities
- Build the prospecting engine: Use Clay, enrichment APIs, and LLMs to build target account and contact lists by segment, specialty drug spend, EMR, and tech stack
- Automate outbound: Design and run AI-personalized campaigns across email, LinkedIn, and phone that book meetings with operations, revenue cycle, and pharmacy leaders
- Generate pipeline directly: Own a meetings and pipeline target, and run outreach yourself, not just the systems behind it
- Catch buying signals: Set up triggers for job changes, acquisitions, new sites, and web visits so we reach accounts at the right moment
- Own the GTM stack: Keep HubSpot clean and trustworthy, from pipeline stages to deal data, and connect it to the rest of our tools
- Build tools that help us sell: Ship internal AI agents, ROI calculators, and workflows that cut manual work for AEs and speed up deals
- Measure and iterate: Build dashboards for pipeline, conversion, and channel performance; run experiments on messaging and segments, then double down on what works
Qualifications
- 2+ years in GTM engineering, growth, sales or revenue operations, or a BDR/SDR role with heavy tooling
- Hands-on experience with Clay or similar enrichment and automation tools, plus a CRM (HubSpot or Salesforce)
- Experience using LLMs to research accounts, personalize outreach, or automate workflows
- A track record of generating pipeline you can point to with numbers
- Technical comfort: APIs, webhooks, and SQL; scripting is a plus
- Clear, sharp writing, especially for outbound copy
- High ownership and the ability to operate autonomously in a fast-moving startup
- Healthcare or health-tech experience is a plus
Skills

About Trellis AI
AI for streamlining healthcare paperwork
Trellis helps healthcare providers treat more patients, faster—while eliminating pre-service paperwork. We automate document intake, prior authorizations, and appeals at scale to streamline operations and accelerate care. Our AI agent is trained on millions of clinical data points and converts messy, unstructured documents into clean, structured data directly in your EHR. With Trellis, leading healthcare providers and pharmaceutical companies were able to: 1. Reduce time to treatment by over 90% 2. Improve prior authorization approval and reimbursement rates 3. Leverage structured data to enhance drug program performance and clinical decision-making Administrative costs account for over 20% of U.S. healthcare spending—delaying care, draining revenue, and driving staff burnout while having less visibility into patient care than ever before. We built Trellis to tackle this head on.
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