GTM Engineer - Eleos Health

Map current-state processes, identify automation and optimization opportunities, and build end-to-end workflows that reduce manual work and improve consistency across GTM and operations Develop and deploy AI agents, copilots, and automation tools that support daily operations - integrating AI into existing systems to enhance decision-making and execution, not as a bolt-on layer but as a first-class component Connect tools, data sources, and workflows across the tech stack to ensure seamless data flow between systems and enable real-time insights and actions Create scalable frameworks for how workflows are built, maintained, and improved - establishing best practices for automation governance and performance tracking so others can operate and extend what you build Monitor workflow performance, iterate quickly based on user feedback and operational impact, and translate ambiguous stakeholder problems into structured, executable solutions Constantly track the AI landscape and new innovations, bringing in best practices, new tools and capabilities that move the needle Take charge of solution deployment end-to-end from discovery to adoption. Support teams in developing enablement and the incorporation of solutions. The platform only matters if people use it. Hands-on experience building production workflows using automation platforms such as Zapier, Make, n8n, Workato, or similar Practical experience applying AI and LLM tools to real operational workflows - including OpenAI, Anthropic, Google Gemini, or open-source models - with at least one deployed example you can speak to concretely Logical approach, thinking in structured steps and knowing how to break down workflows, sequence them correctly, and designing how they should run before building them. Comfort working across both technical and non-technical stakeholders and translating between the two Prioritizing building and shipping over prolonged planning; moving from idea to production quickly. Driving initiatives forward with minimal oversight; proactively engaging the right stakeholders without being directed to. Taking ownership and leading confidently. Experience in teaching and change management; treating adoption as part of the job, not an afterthought. Demonstrated patience with others. 2-5 years of relevant experience in workflow automation, AI operations, RevOps, or a technical GTM or systems role Experience with APIs, data pipelines, or low-code / no-code platforms Exposure to CRM, support, or operational SaaS systems Background in operations, systems design, or process improvement

Map current-state processes, identify automation and optimization opportunities, and build end-to-end workflows that reduce manual work and improve consistency across GTM and operations Develop and deploy AI agents, copilots, and automation tools that support daily operations - integrating AI into existing systems to enhance decision-making and execution, not as a bolt-on layer but as a first-class component Connect tools, data sources, and workflows across the tech stack to ensure seamless data flow between systems and enable real-time insights and actions Create scalable frameworks for how workflows are built, maintained, and improved - establishing best practices for automation governance and performance tracking so others can operate and extend what you build Monitor workflow performance, iterate quickly based on user feedback and operational impact, and translate ambiguous stakeholder problems into structured, executable solutions Constantly track the AI landscape and new innovations, bringing in best practices, new tools and capabilities that move the needle Take charge of solution deployment end-to-end from discovery to adoption. Support teams in developing enablement and the incorporation of solutions. The platform only matters if people use it. Hands-on experience building production workflows using automation platforms such as Zapier, Make, n8n, Workato, or similar Practical experience applying AI and LLM tools to real operational workflows - including OpenAI, Anthropic, Google Gemini, or open-source models - with at least one deployed example you can speak to concretely Logical approach, thinking in structured steps and knowing how to break down workflows, sequence them correctly, and designing how they should run before building them. Comfort working across both technical and non-technical stakeholders and translating between the two Prioritizing building and shipping over prolonged planning; moving from idea to production quickly. Driving initiatives forward with minimal oversight; proactively engaging the right stakeholders without being directed to. Taking ownership and leading confidently. Experience in teaching and change management; treating adoption as part of the job, not an afterthought. Demonstrated patience with others. 2-5 years of relevant experience in workflow automation, AI operations, RevOps, or a technical GTM or systems role Experience with APIs, data pipelines, or low-code / no-code platforms Exposure to CRM, support, or operational SaaS systems Background in operations, systems design, or process improvement

Map current-state processes, identify automation and optimization opportunities, and build end-to-end workflows that reduce manual work and improve consistency across GTM and operations Develop and deploy AI agents, copilots, and automation tools that support daily operations - integrating AI into existing systems to enhance decision-making and execution, not as a bolt-on layer but as a first-class component Connect tools, data sources, and workflows across the tech stack to ensure seamless data flow between systems and enable real-time insights and actions Create scalable frameworks for how workflows are built, maintained, and improved - establishing best practices for automation governance and performance tracking so others can operate and extend what you build Monitor workflow performance, iterate quickly based on user feedback and operational impact, and translate ambiguous stakeholder problems into structured, executable solutions Constantly track the AI landscape and new innovations, bringing in best practices, new tools and capabilities that move the needle Take charge of solution deployment end-to-end from discovery to adoption. Support teams in developing enablement and the incorporation of solutions. The platform only matters if people use it. Hands-on experience building production workflows using automation platforms such as Zapier, Make, n8n, Workato, or similar Practical experience applying AI and LLM tools to real operational workflows - including OpenAI, Anthropic, Google Gemini, or open-source models - with at least one deployed example you can speak to concretely Logical approach, thinking in structured steps and knowing how to break down workflows, sequence them correctly, and designing how they should run before building them. Comfort working across both technical and non-technical stakeholders and translating between the two Prioritizing building and shipping over prolonged planning; moving from idea to production quickly. Driving initiatives forward with minimal oversight; proactively engaging the right stakeholders without being directed to. Taking ownership and leading confidently. Experience in teaching and change management; treating adoption as part of the job, not an afterthought. Demonstrated patience with others. 2-5 years of relevant experience in workflow automation, AI operations, RevOps, or a technical GTM or systems role Experience with APIs, data pipelines, or low-code / no-code platforms Exposure to CRM, support, or operational SaaS systems Background in operations, systems design, or process improvement