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6 дней назад

Engineering Manager (AI)

120 000 - 140 000$
Формат работы
remote (только Colombia/Mexico/PERU)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Mexico/Colombia/Peru +1 еще
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
Engineering Manager (AI): Leading distributed engineering teams of 4–5 engineers to deliver reliable platform initiatives for a growing outdoor home services marketplace with an accent on people development, delivery predictability, and AI-enabled workflows. Focus on building leadership depth, coordinating Product, Design, Architecture, Quality Engineering, and Security, and increasing throughput without sacrificing technical quality.

Location: Fully remote within Colombia, Mexico, Peru, or Uruguay

Salary: $120,000–$140,000 USD annually as a contractor, depending on experience

Company

hirify.global operates an on-demand marketplace for lawn care and other outdoor home services, connecting homeowners with more than 70,000 active service professionals across three brands.

What you will do

  • Lead cross-functional delivery teams of 4–5 engineers and report to the Head of Engineering.
  • Build concrete growth plans, coach engineers, manage performance, and address conflict directly.
  • Own delivery cadence, scope, risk management, quality, and team commitments.
  • Partner with Product, Design, Quality Engineering, Architecture, Security, and other engineering teams from roadmap through release.
  • Provide technical direction on system design, architectural risks, debugging, and blocker removal.
  • Introduce AI tools and workflows for code review, documentation, sprint planning, debugging, and development.

Requirements

  • Experience leading fully remote engineering teams as the default operating model.
  • Strong people-development skills, including career planning, difficult conversations, and structured performance management.
  • Ability to lead distributed teams through asynchronous decision-making and written communication.
  • Data-driven approach to velocity, retention risk, individual growth, and delivery outcomes.
  • Technical credibility through code reviews, architectural input, and hands-on debugging when needed.
  • Advanced practical experience with AI-enabled engineering workflows, including tools such as Claude or Copilot.

Culture & Benefits

  • Remote-first work with a distributed engineering organization spanning multiple time zones and countries.
  • Structured work hours with reasonable flexibility for personal needs.
  • Fast-paced product development with end-to-end ownership of systems.
  • Strong focus on predictable delivery, professional growth, accountability, and proactive risk management.

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