Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Это руководящая роль в развивающемся healthcare AI-продукте, но широкий охват и ожидание личного участия в технической работе делают нагрузку важным вопросом для уточнения; зарплата не указана, медиана платформенного ориентира - $265 008 в год.
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Недочеты текстаШирокая зона ответственностиЗарплата не указанаAI в медицинеСовременные технологииОтпуск и выходные
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
SVP, Engineering (AI): Leading Engineering, AI, and Platform/IT organizations while owning architecture, technical execution, and reliable data-intensive healthcare platforms with an accent on scalable systems, security, and engineering quality. Focus on guiding complex data pipelines, AI-driven products, production reliability, and cross-functional technology decisions.
Location: Remote
Company
hirify.global develops healthcare technology that combines clinical expertise, AI, and radiology quality data to improve diagnostic accuracy and support the full radiology journey.
What you will do
Lead an approximately 30-person organization across Engineering, AI, and Platform/IT.
Own engineering execution, technology architecture, technical standards, quality, reliability, and day-to-day delivery.
Partner with the Chief Product & Technology Officer to translate product and company strategy into technical execution.
Develop engineering leaders and build a culture of ownership, collaboration, and engineering excellence.
Oversee application development, cloud infrastructure, data platforms and pipelines, integrations, security, and enterprise technology.
Resolve complex architectural, performance, data pipeline, and production incident challenges while aligning Engineering with Product, Data, AI, Clinical, Operations, and Security.
Requirements
15+ years of progressive software engineering and technology experience, including complex software systems and engineering leadership.
Experience leading engineering teams and managers while remaining involved in architecture, design, and execution.
Strong product judgment, executive communication, and cross-functional leadership skills.
Experience building and operating large-scale, data-intensive production systems, distributed systems, data pipelines, and reliable platforms.
Deep knowledge of modern software engineering, cloud infrastructure, data architecture, integrations, security, and reliability.
Experience leading ML/AI engineering teams or products and platforms incorporating AI/ML.
Nice to have
Healthcare technology or data company experience involving clinical, imaging, or claims data.
Familiarity with HL7 and/or DICOM.
Experience with Databricks, Spark, AWS, or equivalent technologies.
Experience in startup or growth-stage environments and in developing engineering leadership depth.
Culture & Benefits
AI tools are expected to be used actively in day-to-day work.
Three medical plan options, including one with premiums fully covered for employees and dependents.
Vision and dental coverage, flexible time off, and 16 company-wide holidays.
401(k) retirement plan.
Annual professional development and wellness stipends.
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