Original listing text, shown exactly as published by the company.
Key Responsibilities
- Automation Ownership: Own the company's automation roadmap and consistently deliver measurable operational leverage against it.
- AI Ops Scaling: Stand up and scale the AI Operations function, with responsibility for hiring, onboarding, and developing additional operators and engineers as the company grows.
- Workflow Discovery: Stay close to the field by shadowing clinical and back-office teams to deeply understand workflows and identify the highest-ROI automation opportunities.
- Automation Playbooks: Refine and operationalize repeatable, scalable processes for capturing workflows, shipping automations, and monitoring them in production.
- EHR Integrations: Lead data integrations across major EHRs (eClinicalWorks, Athena, NextGen, and others) and own the contracts, error handling, and reliability of those pipelines.
- Tooling Strategy: Evolve the automation stack to match the workflow—APIs and portal integrations where possible, browser and desktop automation where necessary, and screen-level robots for last-mile flows.
- AI Enablement: Stand up and maintain internal AI tooling (LLMs, agent frameworks, knowledge assistants) and train teammates to become power users of AI in their daily work.
- Vendor Management: Lead scoping and execution with automation vendors, holding them to delivery, quality, and reliability standards.
- Cross-Functional Alignment: Partner closely with Engineering to align on integration patterns, data contracts, and what belongs in product vs. ops.
- Team Leadership: Coach and develop the team on AI tools through structured training, hands-on support, and ongoing guidance.
- Hiring & Scaling: Continue building a high-performing AI Ops team with strong culture, accountability, and execution discipline.
- Operational Discipline: Enforce rigorous documentation, monitoring, and change-management practices to support data-driven decision-making and reliable production systems.
- Customer Voice: Serve as a key conduit between operators, clinicians, and internal teams, informing product and roadmap strategy with workflow-level insight.
Requirements
- 1–3 years of experience in management consulting, software engineering, product management, or a similar analytical/technical role — ideally with exposure to high-growth or ambiguous environments.
- Strong problem-solving instincts with a bias toward action: comfortable scoping an ambiguous problem, breaking it down, and shipping a working solution end-to-end.
- Genuine fluency with modern AI tooling — LLMs, agent frameworks, prompt engineering — and a clear sense of where AI works well versus where it breaks down.
- Hands-on technical aptitude: comfortable with APIs, light scripting (Python, JavaScript, or similar), and picking up new tools quickly. You don't need to be a senior engineer, but you should be able to read code, write automations, and debug your own work.
- Exposure to healthcare, operations, or regulated industries is a plus, but not required — we care more about how quickly you can learn the domain than what you've already seen.
- Strong written and verbal communication; able to translate between technical and non-technical stakeholders and write clearly for leadership.
- Comfort working cross-functionally with Engineering, Product, and Operations, and an ownership mindset about outcomes rather than scope.
- Bachelor's degree or equivalent practical experience.
Non-Functional Skills & Cultural Fit
- Charismatic and credible leader who can inspire teams while holding a high performance bar.
- Thrives in fast-paced, high-growth environments and is comfortable operating through ambiguity.
- Highly execution-oriented with a willingness to roll up sleeves and stay close to the work.
- Resilient, adaptable, and competitive, with a strong drive to win.
- Balances strategic thinking with operational discipline.
Reasons to join Flagler Health
- Fast-Growing Leader: Join a company with strong momentum and expanding adoption across provider organizations.
- Leadership Opportunity: Take ownership of and scale a growing sales organization at a critical inflection point.
- Category Creation: Operate in a large, underserved market with limited direct competition.
- Compelling Product: Sell solutions with clear ROI, strong adoption, and increasing deal sizes.
- Meaningful Impact: Help providers improve efficiency, revenue, and patient outcomes.
- High Earning Potential: Strong compensation tied to company growth and sales performance.
- Industry Exposure: Build deep relationships across provider organizations and healthcare ecosystems.
