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1 день назад

Engineering Manager (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
UK/Sweden
Релокация
UK/Sweden
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Engineering Manager (AI/Fullstack): Leading an organization of 30+ humans and AI agents to build a platform for universal software creation with an accent on bridging high-level business strategy and deep technical execution. Focus on inventing the operating model for human-AI collaboration and scaling a high-velocity engineering culture.

Location: On-site in Stockholm or London (relocation is possible)

Company

hirify.global enables anyone to build software in any language, transforming raw ideas into real products for millions of users.

What you will do

  • Lead a multidisciplinary organization spanning product, platform, and applied AI.
  • Drive technical direction, architectural decisions, and design docs across multiple teams.
  • Shape the engineering culture, including norms for shipping, coding, and hiring.
  • Build a novel operating model where humans and AI agents work side-by-side.
  • Operate as a peer to the executive team to drive business outcomes and product strategy.

Requirements

  • 15+ years of engineering experience, with 6+ years in people management at a startup or scale-up.
  • Proven track record of running an engineering organization of 30+ people, including managing other managers.
  • Hands-on technical ability to act as a Tech Lead, design non-trivial changes, and review code.
  • Deep technical credibility in React/TypeScript, Go/Rust, Kubernetes, or Applied AI.
  • Must be based in or ready to relocate to Stockholm or London for a 5-days-a-week on-site role.
  • English proficiency is required as it is the company's primary language.

Culture & Benefits

  • Talent-dense environment valuing extreme ownership, high velocity, and low-ego collaboration.
  • Opportunity to define the future of software creation and human-AI collaboration.
  • Direct influence on the company's biggest calls alongside the leadership team.
  • Exposure to a modern tech stack including Rust, Go, and advanced LLM providers.

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