Director of Quality Assurance Engineering

🕒 Julho 29

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $225.000 - $245.000 / ano

⏰ Tempo Integral

🔴 Especialista

🔧 Engenheiro de QA (Qualidade de Software)

🦅 Patrocina Visto H1B

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👻 Score fantasma 8%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Machinify

1001 - 5000 funcionários

🏥 Saúde

💼 Consultoria

📦 Logística

💰 $10.000.000 Series A - Machinify em 2018-10

Healthcare • Consulting • Logistics

A Machinify é uma empresa de plataforma e serviços de IA focada em saúde que transforma pagamentos e a integridade de pagamentos no setor. Seu sistema operacional de IA unifica reivindicações, prontuários médicos, contratos e políticas, utilizando modelos fundamentais e agentes específicos de tarefas para automatizar e aprimorar a codificação, precisão de pagamentos, recuperações e prevenção de custos. A Machinify atende planos de saúde (incluindo 18 dos 20 maiores), oferece implantações internalizadas, híbridas ou totalmente gerenciadas e enfatiza resultados mensuráveis — relatando mais de 85 clientes, 270 milhões de vidas cobertas e mais de 6 bilhões de dólares em prevenção de custos e recuperações anuais.

Descrição

• Rethink the QA team methodologies and skillsets/training in a world where AI generates the majority of code — evaluation methodologies, coverage metrics that account for AI-generated tests, and scaling to validation of multiplying volumes of code and use cases, without proportional headcount growth. • Lead, grow, and inspire a high-performing team of Quality Engineers; own hiring targets, career ladders, and a high impact, innovative culture; Grow leadership muscle in your team. • Represent quality to executive leadership and regulators with meaningful metrics and auditable evidence; be the organizational quality gate. • Own an AI-driven technical quality architecture: test data strategy in PHI-constrained environments, CI/CD-integrated gate design, and the automation framework philosophy across unit, integration, and end-to-end surfaces. • Establish release quality standards and exit criteria that balance engineering velocity with production confidence; Define defect triage and escalation protocols used across teams. • Partner with platform and MLE to integrate AI/LLM evaluation methodology into the delivery pipeline.

🎯 Requisitos

• 10+ years of software quality engineering experience, with 4+ years in a leadership role and 2+ years driving strategy and execution in an AI-accelerated development environment. • Track record of building or transforming a quality function at scale — org and role design, not just team management. • Experience evaluating AI-generated tests for correctness of intent and coverage fidelity — able to distinguish tests that pass from tests that actually verify the right behavior. • Experience showing measurable impact with mutation testing, risk-based testing, and production observability as a continuous quality gate. • Experience in regulated environments (HIPAA or equivalent) strongly preferred. • Excitement to make an impact in rewiring US healthcare!

🏖️ Benefícios

• Top Medical/Dental/Vision offerings • FSA/HSA • Tuition reimbursement • Competitive salary, 401(k) with company match • Unlimited PTO • Additional health and wellness benefits and perks • Flexible and trusting environment where you’ll feel empowered to do your best work

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