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1 день назад

Managed Services Delivery Manager (AI)

Формат работы
remote (только Europe)/hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
c1
Страна
Colombia/Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Managed Services Delivery Manager (AI): Owning the end-to-end delivery of managed AI service engagements with an accent on maintaining production stability, meeting SLAs, and managing cross-functional service teams. Focus on driving predictable delivery cadences, navigating complex trade-offs, and ensuring high-quality outcomes for enterprise clients.

Location: Must be based in Colombia or Brazil (Remote friendly).

Company

An applied AI engineering firm building enterprise-grade AI co-workers and business architecture with a focus on production-ready solutions.

What you will do

  • Own end-to-end delivery of managed services, ensuring SLAs and quality targets are met.
  • Run operating cadences including intake, prioritization, and backlog refinement.
  • Manage releases and change requests for production systems while maintaining stability.
  • Proactively identify and manage risks, dependencies, and potential SLA breaches.
  • Define and report on service KPIs to guide decision-making and budget management.
  • Serve as the primary delivery contact for clients, fostering trusted relationships.

Requirements

  • Must be based in Colombia or Brazil.
  • 3+ years of experience in software delivery, technical project management, or engineering leadership.
  • Strong understanding of agile practices like Scrum or Kanban.
  • Experience managing distributed teams across onshore and offshore locations.
  • Exceptional English speaking ability.
  • Proficiency with delivery tools such as Jira, Confluence, and CI/CD pipelines.

Nice to have

  • Scrum Master or equivalent certification.
  • Experience working in regulated environments like utilities, government, or finance.

Culture & Benefits

  • Work with highly experienced teams averaging 15+ years of industry experience.
  • Focus on high-performance, ownership-driven culture.
  • Opportunity to work with cutting-edge AI tools and enterprise-scale architectures.
  • Emphasis on transparency, continuous improvement, and direct communication.

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