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QA Lead (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
c1
Страна
Venezuela/Guatemala/Honduras +2 еще
Релокация
ES
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

QA Lead (AI): Defining and executing quality engineering strategies for complex web and mobile products with an accent on AI-powered testing and intelligent automation. Focus on building scalable quality frameworks, mentoring a team of 15, and driving quality transformation through Agentic AI solutions.

Location: Onsite in San Salvador, El Salvador. Open to candidates from Venezuela, Guatemala, Nicaragua, and Honduras who are willing to relocate.

Company

hirify.global is an AI-native organization that designs, builds, and scales meaningful, AI-powered solutions to transform business operations.

What you will do

  • Define and execute the Quality Engineering strategy across a portfolio of web and mobile products.
  • Lead and mentor a QA organization of approximately 15 team members.
  • Drive the implementation and adoption of AI-powered testing practices and Agentic AI solutions.
  • Establish quality standards, governance frameworks, and engineering best practices.
  • Monitor and report on quality metrics, testing effectiveness, and continuous improvement initiatives.
  • Collaborate with Engineering, Product, and Delivery stakeholders to align quality objectives with organizational goals.

Requirements

  • 6+ years of experience in Quality Engineering, QA, or Test Automation.
  • 5+ years of experience leading QA teams.
  • Advanced English proficiency.
  • Proven experience defining quality strategies and QA governance frameworks.
  • Experience with AI-driven testing or quality innovation initiatives.
  • Willingness to relocate to San Salvador if currently based in Venezuela, Guatemala, Nicaragua, or Honduras.

Culture & Benefits

  • High-performance culture grounded in values of empowerment, teamwork, and transparency.
  • Opportunity to lead AI-native transformation at scale.
  • Focus on modern engineering standards and continuous improvement.
  • Collaborative environment working across design, development, cloud, and data teams.

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