• Attend and complete the Flatiron School Data Science Bootcamp as part of the apprenticeship • Contribute to software projects for your host company • Write clean, maintainable and testable code using modern frameworks and tools • Collaborate in sprint-based workflows and participate in code reviews • Support feature development, debugging, documentation, and QA processes • Build your portfolio of production-level work while growing your technical and collaborative skills • Receive ongoing mentorship from senior developers and product leaders

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves helping pharmacy partners unlock the full value of Enliven Health's solutions—improving patient engagement, streamlining operations, and strengthening community health. - Strengthen subject-matter expertise on Enliven Health’s solution portfolio - Drive customer adoption, value realization, and overall satisfaction - Serve as a trusted product advisor for pre- and post-implementation success - Optimize workflows and enable customers to achieve their ROI goals Key Responsibilities - Serve as a solution expert across the designated Enliven Health product portfolio - Deliver customer evaluations and advisory support - Lead pre-implementation engagements to define go-live strategies - Conduct post-implementation reviews to confirm adoption and drive optimization - Monitor system usage, adoption metrics, and partner performance - Create and deliver high-quality training content and solution documentation - Present findings and recommendations to key customer stakeholders - Collaborate with Customer Success Managers and Sales - Produce customer deliverables accurately and on time - Champion professionalism and strong relationship-building - Continuously refine and share best practices Qualifications - 2+ years of experience in pharmacy operations or equivalent experience/education Preferred Qualifications - 2+ years of pharmacy technician experience or equivalent experience/education - Experience developing training content or facilitating learning sessions - Experience in SaaS customer enablement or advisory-style roles - Understanding of pharmacy workflows, technology platforms, and patient-service processes - Ability to work under pressure and meet tight deadlines Work Conditions - Remote role within the United States - Up to 10% travel for customer engagements, team events, or training - Occasional irregular hours required to meet customer needs - Extended periods of sitting or standing may be required

• Develop, configure, deploy, and optimize AI agents using Cresta’s AI platform and tools. • Build AI agent integrations with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration. • Optimize AI agent performance (e.g. fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments. • Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions. • Conduct interactive demos and present compelling proof-of-concepts to prospective customers, proactively gather feedback, and iteratively refine solutions to meet objectives. • Define project milestones, create implementation plans, and coordinate execution with internal teams to ensure on-time delivery. Provide a tight feedback loop to our product and engineering teams — identifying gaps, building custom tooling, and influencing the roadmap through real-world deployment learnings. • Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximize customer ROI. • Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage. Provide technical guidance on AI agent best practices, including architecture design, security considerations, and scalability planning.

• Develop, configure, deploy, and optimize AI agents using Cresta’s AI platform and tools. • Build AI agent integrations with external systems (APIs, databases, CRMs, etc.) to ensure seamless workflow integration. • Optimize AI agent performance (e.g. fine-tune prompts and configurations) and troubleshoot issues in complex enterprise environments. • Collaborate with customers and internal stakeholders to gather technical requirements and translate business needs into AI Agent solutions. • Conduct interactive demos and present compelling proof-of-concepts to prospective customers, proactively gather feedback, and iteratively refine solutions to meet objectives. • Define project milestones, create implementation plans, and coordinate execution with internal teams to ensure on-time delivery. Provide a tight feedback loop to our product and engineering teams — identifying gaps, building custom tooling, and influencing the roadmap through real-world deployment learnings. • Collaborate with PMs to define agent goals, iterate rapidly based on customer feedback, and shape product capabilities that maximize customer ROI. • Serve as a trusted technical advisor for the customer, guiding best practices for AI agent adoption and usage. Provide technical guidance on AI agent best practices, including architecture design, security considerations, and scalability planning.