SVP, Engineering

🕒 3 dias atrás

🗽 New York – Remoto

🗽 New York – Remote

⏰ Tempo Integral

🔴 Especialista

🖥 Engenheiro de Software

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Covera Health

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🏥 Saúde

⚕️ Seguro de Saúde

🤖 Inteligência Artificial

💰 $27.900.000 Series C em 2021-08

Healthcare • Healthcare Insurance • Artificial Intelligence

Na Covera, estamos comprometidos em garantir que assistência médica de alta qualidade seja mais do que apenas uma promessa. Por isso, estamos liderando o caminho na emergente ciência da qualidade, conectando prestadores de serviços e pagadores em sua busca conjunta para melhorar os resultados dos pacientes e a qualidade do atendimento. Ao enfrentar esse desafio, temos a capacidade de impactar milhões de vidas, elevando o padrão de cuidado em todo o país. Nosso foco inicial é a radiologia, onde um diagnóstico precoce e preciso tem um impacto profundo na jornada de cuidados subsequente do paciente. Através do nosso trabalho, que utiliza ferramentas baseadas em ciência clinicamente validada, estamos ajudando médicos a aprimorar seu atendimento, garantindo que os pacientes recebam o diagnóstico correto e capacitando o sistema de saúde a apoiar melhorias de qualidade em larga escala. Através de nossa plataforma de inteligência clínica, lançamos programas que ajudam as pessoas a acessarem o atendimento mais eficaz e fornecem aos médicos insights e ferramentas de qualidade movidas por IA para aprimorar seu atendimento. Atualmente, a Covera tem parceria com grandes empregadores, pagadores e organizações de saúde nos EUA, incluindo Walmart e Microsoft. E, com um pipeline que representa mais de 25% dos americanos segurados, estamos nos estágios iniciais de melhorar a qualidade do atendimento para todos os pacientes em todo o mundo. Em agosto de 2021, levantamos uma rodada de financiamento Série C de $25 milhões com a Insight Partners, uma das principais empresas globais de capital de risco e private equity que investe em empresas de alto crescimento que promovem mudanças transformadoras em suas indústrias.

Descrição

• Lead Covera Health's Engineering and Platform/IT organizations, including approximately 30 people across Engineering and AI. • Own technology architecture, engineering standards, technical execution, day-to-day engineering delivery, technical quality, and reliability. • Partner with the Chief Product & Technology Officer to translate product and company strategy into technical execution. • Lead and develop engineering leaders while remaining closely involved with teams and technical challenges. • Improve engineering effectiveness through strong technical practices, clear priorities, practical processes, and reliable, high-quality software delivery. • Connect technology decisions to customer, product, and business needs. • Bridge Engineering with Product, Data, AI, Clinical, Operations, Security, and other teams. • Own architecture and standards across application development, cloud infrastructure, data platforms and pipelines, integrations, and enterprise technology. • Ensure platforms and systems scale reliably and securely as products, customers, data sources, and partnerships grow. • Maintain high engineering standards balancing performance, scalability, reliability, security, cost, and speed. • Recruit, develop, and retain exceptional technology talent. • Build a culture of ownership, sound technical decision-making, collaboration, and engineering excellence. • Support increasingly complex data- and AI-driven products while meeting healthcare privacy, security, reliability, and quality requirements. • Communicate technical decisions, priorities, risks, and tradeoffs to engineering teams and executive stakeholders. • Diagnose and resolve complex technical challenges, including data pipeline issues, architectural decisions, system performance, and critical production incidents.

🎯 Requisitos

• 15+ years of progressive software engineering and technology experience, including deep technical experience building and operating complex software systems and leading engineering teams. • Experience leading engineering teams and engineering managers while remaining actively involved in technical architecture, design, and execution. • Demonstrated success building technically strong, high-performing engineering teams with a culture of ownership, accountability, and high engineering standards. • Strong product instincts and demonstrated ability to connect technology strategy and execution to product, customer, and business needs. • Demonstrated ability to partner closely with Product leadership and operate effectively at the intersection of product and engineering. • Deep technical expertise and strong architectural judgment, with the ability and desire to remain actively involved in design reviews, technical problem-solving, and critical engineering decisions. • Experience building, scaling, and operating large-scale, data-intensive production systems and platforms. • Deep technical knowledge of modern software engineering, cloud infrastructure, data platforms and pipelines, integrations, security, reliability, and data architecture. • Experience improving engineering quality, reliability, and delivery through strong technical practices, effective tooling, and practical team leadership. • Demonstrated ability to make complex cross-functional decisions, resolve competing priorities, and create alignment across multiple teams and functions. • Experience working with ML/AI engineering teams or overseeing products and platforms incorporating AI/ML capabilities. • Strong track record of recruiting, developing, and retaining exceptional engineering leaders and talent. • Experience operating in fast-paced startup or growth-stage environments. • Excellent executive communication and cross-functional leadership skills. • Experience building or leading modern, data-intensive technology platforms, with a strong understanding of complex data pipelines, distributed systems, and production reliability. • Demonstrated ability to balance technical depth with leadership responsibilities, remaining close to engineering work while guiding teams and making broader technology decisions. • Preferred: Experience at a healthcare technology or data company building modern software platforms or technically complex products using clinical, imaging, or claims data. • Preferred: Experience with healthcare or clinical data environments, including familiarity with HL7 and/or DICOM. • Preferred: Experience with modern data and analytics platforms such as Databricks, Spark, or similar technologies. • Preferred: Experience with AWS or equivalent cloud infrastructure. • Preferred: Experience transitioning from a highly technical engineering environment into a leadership role at a startup or growth-stage company. • Preferred: Experience developing engineering depth and technical leadership at a large-scale technology company, followed by engineering leadership experience in a smaller, product-focused organization. • Every team member is expected to actively use AI in their day-to-day role.

🏖️ Benefícios

• Comprehensive medical plans - choose from three plans, including one with 100% of premiums covered for you and your dependents • Vision & Dental • Flexible Time Off - take the time you need, when you need it • Generous company wide holidays - 16 in total • 401(k) Retirement Plan • Annual Professional Development Stipend to invest in courses, books, or any other professional development related activity • Annual Wellness stipend for fitness, mental health or other wellness expenses