
201 - 500 funcionários
Fundada em 2020
💼 Consultoria
⚖️ Jurídico
📦 Logística
💰 $15.000.000 Series A - OpenLoop Health em 2023-03
Consulting • Legal • Logistics
A OpenLoop é uma plataforma de telemedicina marca branca e fornecedora de serviços gerenciados que ajuda as organizações a lançar e escalar programas de atendimento virtual. Combina tecnologia SaaS personalizável (agendamento, reservas, pagamentos, integrações EHR/API) com equipe clínica, credenciamento, cobertura de pagamento e RCM, suporte regulatório/jurídico e suporte ao paciente 24/7. A OpenLoop atende planos de saúde, hospitais e sistemas de saúde, varejistas, empregadores e empresas de saúde digital com operações impulsionadas por IA, uma rede nacional de médicos e ampla cobertura de seguros, incluindo Medicare e Medicaid.
🕒 Maio 27
🇺🇸 Estados Unidos – Remoto (EUA)
⏰ Tempo Integral
🔴 Especialista
🤖 Inteligência Artificial
👻 Score fantasma 39%
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

201 - 500 funcionários
Fundada em 2020
💼 Consultoria
⚖️ Jurídico
📦 Logística
💰 $15.000.000 Series A - OpenLoop Health em 2023-03
Consulting • Legal • Logistics
A OpenLoop é uma plataforma de telemedicina marca branca e fornecedora de serviços gerenciados que ajuda as organizações a lançar e escalar programas de atendimento virtual. Combina tecnologia SaaS personalizável (agendamento, reservas, pagamentos, integrações EHR/API) com equipe clínica, credenciamento, cobertura de pagamento e RCM, suporte regulatório/jurídico e suporte ao paciente 24/7. A OpenLoop atende planos de saúde, hospitais e sistemas de saúde, varejistas, empregadores e empresas de saúde digital com operações impulsionadas por IA, uma rede nacional de médicos e ampla cobertura de seguros, incluindo Medicare e Medicaid.
• Define and execute the enterprise AI roadmap aligned to business priorities • Identify, prioritize, and deliver high-impact AI use cases with measurable ROI • Represent AI strategy in executive and cross-functional forums • Own the design, deployment, and operation of the enterprise AI platform • Establish scalable, secure, and compliant AI infrastructure (LLMs, MLOps, integrations) • Define standards for model lifecycle management (deployment, monitoring, incident response) • Build and enforce enterprise AI governance, including model risk, compliance, and acceptable use • Lead governance reviews and ensure regulatory alignment (e.g., HIPAA) • Maintain oversight of AI systems, vendors, and usage across the organization • Lead end-to-end delivery of AI solutions across clinical, operational, and corporate functions • Drive adoption and integration into business workflows • Ensure outcomes are tied to efficiency, cost, or performance improvements • Partner across IT, Clinical, HR, Operations, and Data teams • Influence stakeholders and align AI initiatives to enterprise priorities • Build and scale a multidisciplinary AI team • Define roles, structure, and ways of working • Manage budget, tooling, and external resources • Other duties as assigned
• 10+ years in technology roles with 4+ years in a leadership or management capacity • Demonstrated experience building or scaling enterprise AI/ML platforms in production environments • Deep understanding of LLM ecosystems, MLOps practices, vector databases, and AI API architectures • Experience owning AI governance, model risk management, or responsible AI frameworks • Track record of translating business problems into AI product requirements and delivering solutions • Strong executive communication skills — able to present complex AI concepts to non-technical audiences • Experience operating in regulated industries (healthcare, financial services, or similar) preferred but not required • Experience in healthcare IT, clinical decision support, or HIPAA-regulated environments preferred • Familiarity with AWS AI/ML services (SageMaker, Bedrock, Amazon Connect AI capabilities) • Experience building teams from the ground up in a new function • Background in workforce management, BPO technology, or contact center AI • Advanced degree in Computer Science, Data Science, or related field — or equivalent experience
• Medical, Dental, and Vision plans • Flexible Spending/Health Savings Accounts • Flexible PTO • 401(k) + Company Match • Life Insurance, Pet insurance, and more
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