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8 дней назад

Manager, Software Engineering (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
c1
Страна
Canada
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
Manager, Software Engineering (AI): Leading a delivery pod that builds scalable AI/ML software solutions with an accent on architectural integrity, AI-assisted development, responsible AI, and team growth. Focus on setting technical direction, ensuring explainable and auditable systems, coordinating client delivery, and developing engineers across different levels.

Location: Hybrid in Calgary, Toronto, or Edmonton, Canada

Company

hirify.global is an AI-first company that develops AI/ML solutions and applies AI-assisted software engineering across delivery teams.

What you will do

  • Lead a delivery pod and set architectural direction for robust, scalable solutions aligned with company standards.
  • Champion AI-assisted development using tools such as Claude Code and establish this approach as the default for the pod.
  • Remove engineering blockers, facilitate technical discussions, and coordinate on-time, on-scope delivery with the delivery team.
  • Manage engineers through regular 1:1s, feedback, career development, performance support, and wellbeing conversations.
  • Ensure solution quality, explainability, fairness, and auditability from design through deployment.
  • Communicate progress, risks, and outcomes with stakeholders and clients; support pre-sales through architecture input, demos, and technical Q&A.

Requirements

  • 5+ years of software engineering experience, including at least 2 years in a technical lead or management role.
  • Fluent, hands-on experience with AI coding tools such as Claude Code or equivalent.
  • Experience driving architectural decisions and maintaining engineering quality in a fast-paced delivery environment.
  • Experience managing and developing engineers across different levels.
  • Ability to communicate technical complexity clearly with clients and stakeholders.
  • Familiarity with AI/ML solutions, modern MLOps, software delivery practices, responsible AI, and inclusive team culture.

Culture & Benefits

  • AI-assisted development is the standard way engineers design, build, test, and review software.
  • Engineering performance is measured against substantially faster delivery enabled by AI.
  • Psychologically safe and inclusive environment focused on strong team health.
  • Opportunities to participate in cross-pod technical guilds such as Frontend, AI/ML, and DevOps.
  • Premium compensation is offered for engineers who demonstrate strong AI-assisted development practices.

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