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4 дня назад

Engineering Manager (AI)

120 000 - 140 000$
Формат работы
remote (только Brazil)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Brazil
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 delivering reliable product initiatives for an outdoor home services marketplace with an accent on people development, predictable delivery, and AI-enabled workflows. Focus on building growth plans, managing performance and cross-functional tradeoffs, strengthening remote team accountability, and introducing AI into code review, documentation, planning, and debugging.

Location: Fully remote in Brazil, including São Paulo, Rio de Janeiro, Belo Horizonte, Curitiba, and Florianópolis.

Rate: $120,000–$140,000 USD annually, contractor, depending on experience.

Company

hirify.global operates an on-demand marketplace for lawn care and other outdoor home services, connecting hundreds of thousands of 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.
  • Create concrete growth plans, support career development, manage performance, and address conflict and underperformance directly.
  • Drive predictable delivery by managing scope, surfacing risks early, and maintaining committed delivery cadence.
  • Partner with Product, Design, quality engineering, architecture, security, and other engineering teams from estimation through release.
  • Provide technical direction through system design input, architectural risk identification, debugging support, and blocker removal.
  • Introduce and measure AI adoption across code review, documentation, sprint planning, debugging, and development workflows.

Requirements

  • Experience leading fully remote teams as a default operating model, including async decision-making and distributed team management.
  • Deep practical AI adoption experience, including bringing AI workflows and tools such as Claude or Copilot into engineering work.
  • Demonstrated people development experience, including career growth plans, difficult conversations, and structured underperformance management.
  • Direct and timely conflict resolution across engineering teams and cross-functional partners.
  • Ability to use metrics such as velocity, retention risk, and individual contributor growth to make people and delivery decisions.
  • Technical credibility through code reviews, architectural input, and hands-on debugging support.
  • Ability to delegate, coach engineers toward decisions, and avoid becoming a bottleneck.
  • Commitment to people leadership as the primary professional focus rather than a transition back to individual contributor work.
  • Ability to surface risks early, manage proactively, and maintain delivery quality while scaling teams.

Culture & Benefits

  • Fully remote, remote-first work environment for distributed teams across time zones and countries.
  • Structured work hours with reasonable flexibility for personal needs.
  • Fast delivery culture with end-to-end ownership of systems and outcomes.
  • AI-forward engineering workflows with serious tracking of adoption and measurable throughput.
  • Contractor rate of $120,000–$140,000 USD annually, depending on experience.

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