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