1:00 PM - 2:00 PM
Senior Product Manager Interview
Sarah Jenkins
Location
remote, United States
Commitment
Full Time
Level
Middle (2-4 years)
Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.
The Training Specialist, Medical Review Audit – Clinical RN owns the design, development, and delivery of training programs for clinical audit staff specializing in Inpatient Psychiatric Facility (IPF) and Inpatient Rehabilitation Facility (IRF) claims. This is not a generalist training role. The right candidate brings deep, working knowledge of IPF and IRF documentation standards, payment systems, and medical necessity criteria alongside a demonstrated track record of building training programs that produce measurable improvements in auditor accuracy, productivity, and quality outcomes. This role requires an active nurse who can function as both a clinical subject matter expert and a skilled adult learning practitioner.
Deep working knowledge of IPF payment and documentation requirements: IPF PPS, qualifying psychiatric diagnoses and DSM-5 criteria, medical necessity standards for inpatient psychiatric care, physician certification requirements, treatment plan and daily progress note standards, safety assessment documentation, and ECT add-on billing.
Strong command of IRF coverage and documentation requirements: IRF PPS, qualifying conditions under the 60%/75% compliance rule, pre-admission screening, IRF-PAI completion timelines, 3-hour therapy rule and exceptions, interdisciplinary team conference documentation, FIM scoring context, and CMG assignment.
Ability to distinguish and articulate medical necessity criteria across levels of care: inpatient psychiatric vs. PHP/IOP; IRF vs. SNF — and train auditors to apply those distinctions accurately and consistently.
Proficiency with ICD-10-CM/PCS coding for inpatient psychiatric and rehabilitation claims; working knowledge of DRG and CMG assignment logic.
Demonstrated ability to design and deliver adult learning programs that produce measurable, documented outcomes in a clinical or healthcare audit production environment.
Proficiency with instructional design principles, needs assessment methodology, and learning evaluation frameworks (e.g., Kirkpatrick model).
Experience developing and managing training content in a Learning Management System (LMS).
Strong data interpretation skills; able to analyze QA results, audit accuracy metrics, and appeals data to assess training effectiveness and identify gaps.
Familiarity with utilization management tools such as MCG or InterQual, particularly criteria applicable to inpatient psychiatric and rehabilitation level of care determinations.
Proficient in Microsoft Office Suite (intermediate to advanced PowerPoint, Word, and Excel); experience with curriculum development or e-learning authoring tools preferred.
Clear, precise communicator who can translate technical clinical and billing content for audiences with varying levels of experience.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/