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19 часов назад

Engineering Manager (AI)

250 000 - 375 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
UK/US/India
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): Building and scaling high-performance distributed systems with an accent on technical direction, team leadership, and reliable execution. Focus on designing architectures, solving complex production problems, and maintaining performance, observability, and engineering quality as systems scale.

Location: On-site in San Francisco, United States. Offices are also located in London and Bangalore. Visa sponsorship support is assessed case by case.

Salary: $250,000–$375,000 per year, plus equity.

Company

hirify.global develops AI model architectures and products designed to help AI learn from and interact with the world like humans.

What you will do

  • Build, lead, and develop a high-performing engineering team of 7+ engineers through hiring, coaching, performance management, and career development.
  • Own the team roadmap, technical decisions, priorities, and delivery outcomes.
  • Provide hands-on technical leadership across architecture, design reviews, complex technical problems, and production incidents.
  • Develop deep knowledge of the team’s systems and trade-offs to challenge assumptions and unblock engineers.
  • Partner with Product, Research, and other teams to set direction and deliver company priorities.
  • Ensure systems scale ahead of business needs while maintaining performance, reliability, and engineering quality.

Requirements

  • Experience managing and developing high-performing engineering teams, including coaching, performance management, and career growth.
  • Strong technical depth and engineering judgment, with the ability to engage deeply in architecture and technical decisions.
  • Track record of leading complex technical projects in fast-moving and ambiguous environments.
  • Strong ownership, prioritization, and technical trade-off skills.
  • Experience building or scaling large-scale distributed systems with demanding performance, reliability, and observability requirements.
  • Strong cross-functional leadership and stakeholder alignment skills.

Nice to have

  • Experience scaling engineering teams during rapid growth or organizational change.
  • Background in machine learning, AI infrastructure, or generative models.

Culture & Benefits

  • In-person work environment focused on collaboration and shared learning.
  • Fast execution on novel, cutting-edge work with a high bar for quality and design.
  • Open and inclusive culture with resources to support professional success.
  • Equity package, fully covered medical, dental, and vision insurance, and flexible PTO.
  • Parental leave, 401(k), commuter allowance, and daily meals and snacks.

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