T

Teton AI

AI-driven patient monitoring for care facilities

VP of Clinical Reimbursement - Skilled Nursing

Clinical Support & Patient AdministrationUpdated on Nov 13
Full-timeRemote in USA

About the Job

Requirements

  • At least 5 years of direct involvement in national-level MDS and skilled nursing facility revenue oversight, such as in a corporate or multi-region Director or VP of Clinical Reimbursement role at a multi-facility skilled nursing operator.
  • Expert, current knowledge of the RAI Manual, MDS 3.0, PDPM, Section GG, and Medicare Part A and Medicaid case-mix reimbursement.
  • Working knowledge of state Medicaid case-mix systems across multiple states and regional practice differences.
  • A track record of improving MDS accuracy, case-mix capture, and reimbursement outcomes across a portfolio of facilities.
  • A strong grasp of compliance and audit risk, including PEPPER, TPE, RAC, and survey risk, and a commitment to accurate, defensible coding.
  • An active RN license, or an LPN/LVN license with equivalent senior experience.
  • RAC-CT, RAC-CTA, or equivalent AAPACN certification.
  • Ability to explain complex reimbursement rules to clinicians, engineers, and executives.

Responsibilities

  • Serve as the subject-matter expert on the RAI Manual, MDS 3.0, PDPM, Section GG, Care Area Assessments, and Quality Measures.
  • Map platform-observed mobility, activities of daily living, sleep, falls, behaviors, and staff interactions to MDS items, look-back periods, and PDPM components.
  • Define clinical and reimbursement requirements with product, data science, and engineering; write specifications, review models, and validate outputs against real assessments.
  • Monitor CMS rule changes, RAI Manual updates, Five-Star and SNF VBP changes, and state Medicaid case-mix methodologies, and turn them into product roadmap input.
  • Ensure every reimbursement-related insight is defensible, audit-ready, and supported by documentation.
  • Build guardrails that prevent upcoding and flag under-capture so clients receive accurate rather than inflated reimbursement.
  • Advise on PEPPER, TPE, RAC, and survey risk in feature design and positioning.
  • Partner with skilled nursing operators’ MDS coordinators, Directors of Nursing, administrators, and regional clinical reimbursement leaders to deploy Teton into their workflows.
  • Quantify impact on case-mix index, PDPM rates, Medicaid CMI, quality measures, and Five-Star ratings; build the return-on-investment case for sales and renewals.
  • Represent Teton at industry events and with clients, asset owners, and partners as a clinical reimbursement authority.
  • Train commercial, customer success, and product teams on skilled nursing reimbursement fundamentals.
  • Develop playbooks, education content, and clinical validation protocols as the business scales across U.S. portfolios.

Desired Qualifications

  • Experience translating clinical knowledge into technology by working with product or engineering teams, defining requirements, or validating software, analytics, or artificial intelligence outputs.
  • Client-facing experience in consulting, health technology, electronic health record, or software vendor roles serving skilled nursing operators.
  • Familiarity with skilled nursing electronic health records such as PointClickCare and MatrixCare, and MDS data analytics.
  • Experience presenting to operator executives, real estate investment trusts, or other senior housing asset owners.
  • Exposure to skilled nursing quality programs such as Five-Star, SNF QRP, and SNF VBP, and their relationship to reimbursement.

About the Company

Teton AI

AI-driven patient monitoring for care facilities

Teton AI provides a B2B health-tech SaaS platform for hospitals and senior-care facilities that uses edge AI with optical sensors to monitor patient rooms. The system runs on-device with infrared for 24/7 operation, analyzes activity and movements to generate real-time alerts (e.g., fall risks) and track sleep and mobility, without storing personal data or images. It creates a digital twin of care operations to optimize workflows, forecast staffing needs, and improve operational efficiency, including portfolio-level analytics. The company differentiates itself by privacy-preserving on-device processing and proactive interventions to reduce manual checks, with a goal to expand internationally and help healthcare facilities manage workloads more efficiently amid nursing shortages.

Company size
51-200
Company stage
Series A
Total funding
$25.3M
Headquarters
Copenhagen, Denmark
Founded
2020

Recently Posted Jobs

Explore more opportunities at Teton AI

See more jobs