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Director Support Engineering (Data & AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
director
Английский
c2
Страна
Brazil

Описание вакансии

Текст:
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TL;DR

Director Support Engineering (Data & AI): Leading and building a regional team of technical experts in Brazil to resolve complex support cases for hirify.global customers with an accent on Spark, ML, AI, and big data technologies. Focus on managing support operations, coaching leaders, driving technical excellence, and improving product supportability through collaboration and automation.

Location: São Paulo, Brazil

Company

hirify.global is a leading data and AI company providing a unified Data Intelligence Platform used by over 10,000 organizations worldwide, including many Fortune 500 companies.

What you will do

  • Build and manage a high-performing regional team of Spark, ML, and AI Technical Solution Engineers.
  • Hire, retain, and develop top talent while fostering diversity and leadership growth.
  • Lead support engineering operations during AMER/LATAM business hours and coordinate 24x7 support coverage.
  • Partner with Engineering and Product teams to embed diagnostics, observability, and support-first practices.
  • Drive root cause analysis, developer-owned quality, and support tooling automation initiatives.
  • Collaborate with Field engineering, Sales, and Customer Success to address account-level concerns and strengthen platform adoption.

Requirements

  • Must have at least 2+ years as a manager of managers and 12+ years in IT industry.
  • Experience leading large technical support or engineering teams (50+ employees).
  • Hands-on experience with Big Data (Spark, Hadoop, Kafka), Machine Learning, or Data Science at production scale.
  • Fluent in English and Portuguese; Spanish is a plus.
  • Bachelor’s or Master’s degree in Computer Science or equivalent technical field.
  • Strong troubleshooting skills across distributed systems and customer-facing support leadership experience.

Nice to have

  • Strong Java/Scala development and distributed systems debugging skills.
  • Experience with data pipeline development and cloud platforms (AWS, Azure, GCP).
  • Knowledge of scalable system design, CI/CD, and modern DevOps tooling.

Culture & Benefits

  • Comprehensive benefits tailored to regional needs.
  • Commitment to diversity and inclusion in hiring and workplace culture.
  • Fast-paced, startup-like environment encouraging ownership and collaboration.