Payer-Provider Partnerships & Revenue Director

About OrthoAIOrthoAI is building AI-driven decision intelligence for dentistry. Our initial focus is turning multimodal clinical information into structured, explainable support for high-friction authorization workflows. We are building from Abu Dhabi for the UAE and wider GCC, with clinical validity, traceability, and user safety designed into the product from the start.The roleOwn OrthoAI's first UAE payer-provider relationships from discovery through design partnership, pilot, procurement, evidence review, paid conversion, and expansion. You will build a commercial motion around measurable authorization-workflow value — not generic AI claims — while cultivating provider relationships that strengthen the payer proposition.What success looks like●      Within 60 days, build a named-account map and discovery thesis covering payer-provider/TPA workflows, buying committees, data constraints, value hypotheses, and disqualifying evidence.●      Within 120 days, secure qualified design-partner pathways and co-design pilot charters with baselines, success measures, responsibilities, safeguards, and exit criteria.●      Within eight months, move approved pilots through procurement, contracting, security/privacy review, implementation, adoption, and evidence capture.●      Within 12 months, convert validated value into paid expansion or a documented no-go decision and establish a repeatable UAE payer sales motion.Key responsibilities●      Build and manage a qualified UAE payer-provider/TPA pipeline with rigorous stage-exit criteria and CRM truth.●      Map executive, utilization-management, clinical-review, operations, data, security, procurement, finance, and legal stakeholders.●      Run discovery that quantifies workflow friction, decision variability, economics, data feasibility, and adoption constraints.●      Co-design measurable pilots with Product, Clinical, Technology, Quality, Finance, and Legal owners.●      Own account plans, forecast quality, procurement navigation, pilot conversion, and expansion strategy.●      Feed commercial evidence into product scope, integrations, claims, packaging, pricing, and market priorities.Required qualificationsEducation or equivalent evidencePhD/Master's degree in business, healthcare, life sciences, engineering, or a related field, or equivalent enterprise-commercial evidence. An MBA is a plus for some candidates but is not required.Experience expected●      Typically 8+ years in enterprise healthcare, payer, TPA, medtech, health-IT, or clinical-software commercial roles.●      At least 3 years selling or developing partnerships in the UAE or GCC healthcare ecosystem.●      Demonstrated ownership of complex opportunities from discovery through pilot, procurement, contract, and paid expansion.●      Experience forecasting multi-stakeholder deals and maintaining CRM accuracy under long or uncertain buying cycles.Technical and functional capability●      Enterprise healthcare, payer, TPA, medtech, or clinical-software selling through complex buying committees.●      Demonstrated pilot-to-paid conversion or an equivalent design-partner-to-contract outcome.●      Can quantify a workflow and economic problem, design a measurable pilot, and maintain forecast discipline.●      Working fluency in healthcare procurement, data/security review, contracts, implementation dependencies, and executive value communication.●      Credible job-related access to UAE payer/TPA or adjacent healthcare decision networks.Preferred qualifications●      Dental benefits, prior authorization, claims, utilization management, fraud/waste/abuse, or revenue-cycle workflows.●      Experience selling AI decision support with careful claims, human oversight, and evidence requirements.●      Arabic and English professional fluency and zero-to-one commercial experience in the UAE/GCC.Evidence that will stand out●      A payer account and buying-committee map with qualification and disqualification criteria.●      A pilot charter separating workflow value, clinical/model safeguards, data requirements, economics, and no-go conditions.●      A deal or pilot that failed to convert: causal diagnosis, machine change, and later result.How we work at OrthoAI●      Outcome ownership: one accountable owner, clear interfaces, and visible follow-through.●      Believability by domain: ideas are weighted by relevant demonstrated success and causal reasoning, not title.●      Written learning: important decisions, misses, root causes, and machine changes are recorded.●      Cross-disciplinary rigor: clinical, scientific, engineering, commercial, and operational evidence must connect.●      Human accountability: AI supports decisions; accountable people make and own them.Our values are a gateResults do not compensate for a values breach. We look for demonstrated behavior consistent with:●      Truth over comfort: surface inconvenient facts and change your view when evidence changes.●      Ownership without excuse: take outcomes end to end, including dependencies and recovery.●      Evidence over opinion: distinguish observation, inference, and hypothesis.●      Patient and user safety is inviolable: stop and escalate when a safety boundary is at risk.●      Speed with rigor: shorten feedback loops without removing the controls the risk requires.What we offer●      Founding-stage scope with direct ownership of a company-critical outcome.●      Close collaboration with the CEO and the clinical, scientific, engineering, and commercial founding team.●      Meaningful influence over systems, standards, hiring, and the roadmap within your domain.●      Technically and operationally serious work using real healthcare workflows and carefully governed data.●      A premium compensation package positioned above market, including a competitive base salary, meaningful Employee Stock Ownership Plan (ESOP) equity, and comprehensive benefits — confirmed in full for shortlisted candidates at offer stage.Selection process●      LinkedIn application and evidence screen against the role outcomes.●      Structured interviews focused on demonstrated decisions, results, and lessons.●      A paid, role-specific working session based on a realistic OrthoAI problem.●      Values-gate interview and candidate-authorized references.Location and eligibilityThis is a full-time, on-site role based in Abu Dhabi, UAE. Candidates must be able and willing to work in Abu Dhabi. Please state your current UAE work authorization or the support you would require; this information is assessed only where job-related and does not replace evaluation of role capability.Apply through LinkedInUse the LinkedIn application for this role. Include your CV and a concise example of a problem you owned end to end: the outcome, your decisions, the evidence you used, what went wrong, and what changed because of your work. Do not include patient data, unnecessary personal information, or confidential employer material.