Note: The job is a remote job and is open to candidates in USA. Knowtex is transforming healthcare documentation with ambient AI scribe technology that helps clinicians focus on patients while producing safe, complete, and trustworthy medical documentation. The Clinical Implementation Specialist will lead onboarding, training, implementation strategy, service recovery, clinical quality evaluation, and prompt improvement across federal and commercial healthcare sites, while partnering closely with Engineering and Customer Delivery.
Responsibilities
- Conduct live virtual training sessions for clinicians across all specialties and both federal and commercial sites (physicians, NPs, PAs, pharmacists, mental health providers)
- Present at approved provider and leadership staff meetings to provide platform updates, training, and support
- Lead virtual office hours and recurring Q&A sessions providing just-in-time workflow support to users at every stage, from brand-new to long-tenured
- Onboard and coach new users individually through early activation, adapting your approach to specialty, technical comfort, and sector (federal vs. commercial)
- Deliver train-the-trainer sessions to build capacity among Site POCs and Clinical Champions
- Track training attendance, completion, satisfaction, and time-to-activation; feed findings back into training content and coaching approach
- Develop and maintain training curriculum, job aids, and education resources for both federal and commercial audiences, including specialty-specific modules
- Update materials continuously based on product changes, user feedback, and clinical best practice — this is a living library, not a one-time build
- Design self-paced and asynchronous resources so coaching capacity scales with user volume rather than growing linearly with it
- Develop release communication for feature updates and product changes — external materials for users, and internal briefings that prepare Customer Support and Implementation before rollout
- Identify Clinical Champions through both adoption data and relationships built in the field, then recruit and develop them to extend adoption support within their own facilities
- Build and facilitate an active Clinical Champion community of practice — peer learning, shared best practices, and a channel that surfaces problems early
- Sustain engagement over time, not just at launch; a champion network that goes quiet within a quarter isn't doing its job
- Develop and execute implementation strategy for new and scaling sites across both sectors
- Diagnose and lead service recovery for sites in one of two distinct situations — initial adoption struggles (never really got going) and negative first-experience recovery (tried it, had a bad early experience, and are now skeptical or vocal) — and tailor your intervention to which one you're facing
- Conduct workflow assessments to identify integration opportunities and barriers, and translate findings into a concrete site-level plan
- Identify patterns across sites — the failure modes that repeat, the interventions that consistently work — and document them in the implementation playbook so the next site starts ahead of where the last one did
- Build and maintain deep product understanding — how the AI generates notes, where prompts and templates drive behavior, and where the boundaries of the model's clinical judgment are
- Interpret clinician-reported concerns and errors (missing findings, fabricated content, incorrect clinical reasoning) and perform root cause analysis to distinguish a prompt issue from a workflow issue from a genuine model limitation
- Recommend prompt changes and carry them through implementation, grounded in clinical judgment, safety, and quality standards — with the sole aim of keeping note output safe, complete, and aligned with provider expectations
- Escalate patient safety concerns immediately per protocol; no finding sits unreviewed
- Partner on the Clinical Quality Scoring Rubric and documentation audit findings where they intersect with training or prompt behavior
- Work directly with the Technical Product Manager and on-call engineers to resolve live, customer-facing issues in real time
- Serve as the trusted clinical voice inside product and engineering discussions — translating a clinician's frustration into a specific, actionable problem statement and making the clinical case for prioritization
- Contribute to longer-term product and feature discussions informed by frontline patterns, not just individual tickets
Skills
- Active clinical license (RN, NP, PA, PharmD, or equivalent) with 5+ years of direct patient care experience
- Understanding of clinical documentation requirements, EHR workflows, and medical decision-making across specialties
- Comfort operating in both federal (VA) and commercial healthcare environments — or a credible plan for ramping into whichever side is less familiar
- Understanding of HIPAA, medical-legal documentation standards, and quality requirements
- Experience with implementation science frameworks (RE-AIM, CFIR) or equivalent structured approaches to adoption and change management
- Demonstrated ability to conduct root cause analysis (5 Whys, fishbone, or equivalent) on a clinical, workflow, or quality problem
- Direct or adjacent experience with AI/NLP prompt design, prompt evaluation, or clinical documentation improvement technologies — you don't need to have built models, but you need to be comfortable reasoning about how a prompt change would or wouldn't fix a reported error
- Comfort working from product analytics and dashboards to identify patterns, not just anecdotes
- 3+ years developing and delivering clinical education or healthcare IT training
- Demonstrated ability to build effective curriculum and measure its impact beyond satisfaction scores (retention, behavior change, time-to-activation)
- Experience with virtual training platforms and comfort presenting to groups from 5 to 100+
- Track record adapting delivery across specialties and audiences with different technical proficiency
- Exceptional verbal and written communication; able to earn a skeptical clinician's trust quickly
- Strong collaborator across internal teams, with the credibility to advocate for clinical needs in technical discussions
- Comfortable delivering an executive briefing on short notice, then answering a support ticket an hour later — this role moves fluidly between strategic and hands-on work
- Sound clinical and ethical judgment under time pressure, particularly around patient safety escalation
- Entrepreneurial, comfortable with ambiguity, and willing to pick up work that doesn't have an obvious owner
- Genuinely mission-driven — motivated by what's at stake when the technology in question touches real-time clinical care, not just another SaaS rollout
- Sees Engineering, Product, and the rest of Customer Delivery as partners, not separate lanes — inclined to bring people in early instead of arriving with a finished answer
- TRAVEL 20–30%, federal and commercial sites
- SCHEDULE Core business hours, with flexibility across time zones
- Master's degree in Nursing, Health Administration, Public Health, Medical Education, Clinical Informatics, or related field
- Experience with ambient AI, clinical documentation improvement, or speech recognition technologies
- Prior experience in a startup or fast-scaling environment where role boundaries were fluid
- VA clinical experience (staff clinician, clinical educator, or clinical informaticist) and commercial health system experience
- Section 508 accessibility compliance experience
Benefits
- Equity
- Comprehensive benefits
- Professional development opportunities
- Remote work, with travel required to federal and commercial sites for workflow assessments, go-lives, service recovery visits, and training events (estimated 20–30%, adjusted to implementation needs)
- Core business hours with flexibility for training delivery across time zones and both federal and commercial calendars
Company Overview