Clinical Implementation Specialist

Accountabilities:

• Onboarding, training, and coaching: Conduct live virtual training for clinicians across specialties and healthcare settings, lead office hours and recurring Q&A sessions, provide individualized onboarding and coaching, and deliver train-the-trainer sessions for Site Points of Contact and Clinical Champions.
• Training materials and education: Develop and continuously maintain clinical training curricula, job aids, specialty-specific resources, self-paced materials, and release communications for new features and product changes.
• Clinical champion network: Identify, recruit, and develop Clinical Champions based on adoption data and field relationships, while facilitating an active community of practice that supports peer learning and surfaces adoption challenges early.
• Implementation strategy and service recovery: Develop implementation plans for new and scaling sites, assess clinical workflows and integration opportunities, and lead targeted recovery efforts for sites experiencing adoption difficulties or negative early experiences.
• Implementation improvement: Identify recurring implementation patterns, document successful interventions and failure modes, and continuously improve the implementation playbook so future deployments can benefit from lessons learned.
• AI prompt judgment and clinical quality: Build a deep understanding of how AI-generated documentation, prompts, and templates influence clinical outputs. Analyze clinician-reported errors and concerns to distinguish workflow issues, prompt issues, and potential model limitations.
• Clinical safety and quality: Recommend and support prompt changes grounded in clinical judgment, safety, and documentation quality standards; immediately escalate patient safety concerns according to established protocols; and contribute to clinical quality scoring and documentation audit activities.
• Engineering partnership: Work directly with technical product and engineering teams to resolve live customer issues, translate clinician feedback into actionable technical problem statements, and contribute frontline insights to longer-term product and feature decisions.

Requirements:

• Clinical background: Active clinical license as an RN, NP, PA, PharmD, or equivalent, with at least 5 years of direct patient care experience and a strong understanding of clinical documentation, EHR workflows, medical decision-making, HIPAA, medical-legal standards, and healthcare quality requirements.
• Implementation and informatics: Experience with implementation science frameworks such as RE-AIM or CFIR, or comparable structured approaches to adoption and change management. Strong root-cause analysis skills using approaches such as 5 Whys, fishbone analysis, or equivalent methods.
• AI and clinical technology: Direct or adjacent experience with AI/NLP prompt design, prompt evaluation, clinical documentation improvement, speech recognition, or related technologies, with the ability to reason about how prompt or workflow changes may affect reported clinical issues.
• Data-driven decision making: Comfortable using product analytics and dashboards to identify adoption patterns, recurring problems, and opportunities for improvement rather than relying solely on individual anecdotes.
• Training and education: At least 3 years of experience developing and delivering clinical education or healthcare IT training, including the ability to build curricula and measure impact through indicators such as retention, behavior change, and time-to-activation.
• Presentation and communication: Experience delivering virtual training to groups ranging from small teams to 100+ participants, adapting communication to different specialties, audiences, and levels of technical proficiency.
• Clinical judgment and collaboration: Exceptional verbal and written communication, strong relationship-building skills, and the credibility to advocate for clinical needs in technical discussions while maintaining sound ethical and clinical judgment under pressure.
• Adaptability and ownership: Comfortable operating in a fast-paced, ambiguous environment, taking ownership of work without clearly defined boundaries, and moving fluidly between strategic planning, executive briefings, frontline coaching, and support activities.
• Cross-functional mindset: Collaborative approach to working with Engineering, Product, Customer Delivery, Implementation, Customer Support, Site POCs, and Clinical Champions, with a preference for bringing relevant stakeholders into problem-solving early.
• Preferred qualifications: A master's degree in Nursing, Health Administration, Public Health, Medical Education, Clinical Informatics, or a related field; experience with ambient AI, clinical documentation improvement, or speech recognition; startup or high-growth experience; VA clinical experience combined with commercial health system experience; and familiarity with Section 508 accessibility compliance.

Benefits:

• Estimated base salary of $110,000–$180,000, depending on experience.
• Equity participation.
• Comprehensive benefits.
• Professional development opportunities.
• Fully remote work within the United States.
• Core business hours with flexibility to support training across different time zones and federal and commercial calendars.
• Approximately 20–30% travel to federal and commercial healthcare sites for workflow assessments, go-lives, service recovery, and training events.
• Opportunity to work at the intersection of clinical care, healthcare implementation, clinical informatics, and AI technology.
• Direct collaboration with clinicians, product leaders, engineers, and customer delivery teams on technology used in real-world clinical environments.
• Inclusive workplace committed to building a diverse team and supporting the clinicians and patients served.