What You’ll Do
- Technical Delivery & Integration Stewardship
- Own the operational health of Epic and ServiceNow integrations during deployment, ensuring data is accurate, reliable, and actionable within hospital systems
- Serve as the primary point of ownership when workflows break or AI behavior degrades
- Triage issues by isolating root causes across hardware, integrations, data feeds, and clinical workflows
- Act as a “PHI firewall” for Engineering by validating bugs and issues using US-compliant workflows
- Escalate platform issues to European development teams with clear, sanitized, reproducible context
- Customer Adoption & AI Enablement
- Lead post-implementation adoption of Kontakt.io’s AI orchestration products across hospital environments
- Translate each health system’s unique “way of working” into AI agent configurations, integration logic, and guardrail adjustments
- Partner closely with clinical, operational, IT, and digital transformation stakeholders across departments
- Drive alignment between technology, workflows, and real-world operational goals
- AI Training, Monitoring & Optimization
- Guide initial AI agent training, validation, and go-live readiness during early rollout
- Conduct structured adoption and performance check-ins at ~90-day and ~180-day milestones
- Monitor unsupervised learning outcomes to identify drift, performance gaps, or unintended behaviors
- Collaborate with Product, Engineering, and AI teams to refine models, workflows, and guardrails
- Help customers build trust and confidence in AI-supported decision-making
- EHR & Workflow Context
- Work alongside integration and product teams to ensure AI agents align with EHR data flows and operational realities
- Develop a deep understanding of how patient flow, staffing, and operational signals interact across departments (ED, inpatient, perioperative, etc.)
- Ensure AI outputs make sense in the context of real hospital constraints and workflows
- Practice Building & Thought Leadership
- Define best practices, frameworks, and internal standards for AI-driven customer success
- Create repeatable onboarding, training, and optimization methodologies
- Serve as the blueprint for a future AI-focused Customer Success function
- Act as a real-world feedback loop to Product, Engineering, and AI teams based on hospital usage and outcomes
Who You Are
- 7+ years in healthcare-facing roles (Clinical Operations, Healthcare IT, Health System Analytics, or Consulting)
- Direct experience working inside hospitals and across multiple departments and stakeholder types
- Strong preference for experience in patient flow, throughput, staffing, or operational transformation
- Technical literacy (required):
- Familiarity with EHR ecosystems (Epic, Cerner, Meditech)
- Ability to query basic SQL, read API logs, and understand HL7/FHIR concepts
- Comfortable “looking under the hood” beyond traditional CSM responsibilities
- Highly comfortable operating in ambiguity and learning in motion
- Systems thinker who connects workflows, data, technology, and human behavior
- Intellectually curious about AI—how models learn, adapt, and sometimes fail
- High autonomy with strong prioritization and self-management skills
- Confident communicator who can explain complex AI concepts in plain language to hospital leaders
- You don’t wait for permission to improve things
- You enjoy building something that doesn’t yet have a name
- You balance rigor and creativity—safety matters, but so does progress
- You’re energized by being first and setting the standard others will follow