Jobs · Engineering

EverHealth - Automation and AI Specialist -GTM(Remote, US)

EverCommerce · Denver, CO · 1 mo ago
Engineering$90k–$100k/yrFull-time

Responsibilities

  • Design, build, test, and deploy AI-enabled and automation-driven workflows for GTM processes
  • Apply LLM capabilities and AI tooling to improve GTM and RevOps productivity and execution quality
  • Create reusable assets such as agent templates, prompt libraries, automation patterns, and reference flows
  • Implement end-to-end automations triggered by copilots/agents or business events (approvals, notifications, data updates)
  • Use automation and orchestration platforms (e.g., n8n, API integrations, MCP servers) to develop scalable solutions
  • Partner with GTM teams to translate business requirements into technical solutions
  • Identify technical risks, constraints, and dependencies early in solution design
  • Ensure solutions align with Everhealth privacy, security, and governance standards
  • Design and deliver hands-on training for employees, makers, and business teams on AI-enabled workflows
  • Maintain documentation for deployed workflows and integrations
  • Monitor performance and reliability of automation solutions
  • Ensure AI solutions include clear usage guidance, limitations, and human oversight expectations
  • Coach teams on prompting best practices, output validation, and appropriate use of AI in daily work
  • Serve as a go-to internal expert through workshops, office hours, and direct support
  • Help establish guardrails that enable safe innovation without unnecessary friction

Qualifications

  • Required: Bachelor’s degree in Computer Science, Information Systems, Data Science, Business Analytics, or a related field, or equivalent practical experience
  • 2+ years delivering automation, low-code solutions, analytics, or AI-enabled capabilities in an enterprise or GTM environment
  • Working knowledge of AI models, LLM applications, prompt orchestration, and AI-driven workflow design
  • Hands-on experience building automation workflows or API integrations
  • Experience working cross-functionally with engineering, data, and business teams

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