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9 дней назад

SVP, Engineering (AI)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
c_level
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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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