AI Builder, Eleos Health

• You are someone who gets energized by turning a messy, manual process into something that just runs
• You think in systems — you see how tools, data, and workflows connect, and you know how to design solutions that are coherent, not cobbled together
• You move fast without cutting corners that matter, and you know the difference
• You are comfortable sitting with ambiguity long enough to ask the right questions, and then you build
• You do not wait for perfect requirements
• You ship, you learn, and you improve
• You are excited about doing this work in a behavioral health company where the downstream impact of getting operations right is real
• 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
• Strong systems thinking and ability to connect processes, data, and tools into cohesive, integrated solutions
• Comfort working across both technical and non-technical stakeholders and translating between the two
• Demonstrated ability to move quickly from idea to prototype to production, with a bias toward simplification and measurable impact
• 2–5 years of relevant experience in workflow automation, AI operations, RevOps, or a technical GTM or systems role

Desirable

• We are looking for an AI Builder to join our GTM Operations team
• This role sits at the intersection of operations, systems, and AI — designing, building, and scaling intelligent workflows that transform how work gets done across Eleos Health
• Reporting to the VP of GTM Operations, you will partner across the organization to identify inefficiencies, translate business needs into technical solutions, and deploy AI-powered systems that drive speed, accuracy, and better decision-making
• This is not a strategy role — it is a builder role, and the output is working systems in production
• 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