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3 дня назад

Head of Engineering (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
US/China
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Head of Engineering (AI): Managing and scaling engineering workstreams for a global application platform with an accent on technical strategy, scalable architecture, and global team growth. Focus on maintaining development velocity, implementing high-standard system designs, and recruiting top-tier talent across the US, Europe, and China.

Location: Hybrid (United States)

Company

hirify.global builds superior application platforms globally, having developed the leading insurance platform in Southeast Asia and currently expanding into AI-integrated applications.

What you will do

  • Structure engineering workstreams and ensure efficient project execution and steady development velocity.
  • Provide technical guidance, contribute to key architecture discussions, and evaluate system design trade-offs.
  • Scale the engineering team by recruiting high-quality engineers across the US, Europe, and China.
  • Coordinate with product, research, and leadership teams to resolve organizational and technical bottlenecks.
  • Ensure high engineering standards and translate product direction into clear execution.

Requirements

  • Strong technical background in software engineering and system architecture.
  • Proven experience managing or leading engineering teams.
  • Ability to maintain development velocity and structure complex engineering work.
  • Strong technical judgment and clear communication skills for cross-team collaboration.
  • Must be based in the United States for hybrid work.

Culture & Benefits

  • Flat organizational structure with a focus on engineering and product excellence.
  • Hands-on environment where all members contribute directly to the company mission.
  • Culture of open architecture discussions, fast decision-making, and frequent shipping.
  • Direct collaboration between Product, ML, and Engineering teams without heavy handoffs.
  • High level of trust and ownership given to engineers for the systems they build.

Hiring process

  • Evaluation by technical team members.
  • 3 to 4 interviews conducted via virtual meetings and/or onsite.

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