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2 дня назад

Engineering Manager, Metadata Engineering Manager, Metadata (AI)

186 701 - 233 376$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
Английский
c1
Страна
US/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
Engineering Manager, Metadata Engineering Manager, Metadata (AI): Leading the Metadata team building discovery APIs, catalogs, lineage, and run-history services for the modern data stack with an accent on high-throughput APIs, data models, reliability, and latency. Focus on designing distributed cloud systems, solving enterprise-scale operational challenges, and growing engineers through coaching and clear technical direction.

Location: Fully remote within the United States; the posting lists Denver, Colorado, United States.

Salary: $186,701–$233,376 USD per year.

Company

Fivetran and dbt Labs are combining data movement and analytics engineering products to help organizations build trusted foundations for analytics, AI, and business decisions.

What you will do

  • Lead, hire, onboard, coach, and develop a software engineering team.
  • Own quarterly delivery, service reliability, performance, uptime, and latency targets.
  • Review technical designs and code and guide architectural trade-offs for the Metadata product area.
  • Drive incident response, bug resolution, technical debt reduction, post-mortems, and SLA adherence.
  • Partner with product and business stakeholders to prioritize the backlog and communicate engineering strategy and impact.
  • Establish effective delegation, team autonomy, performance management, and AI-assisted software development practices.

Requirements

  • Experience managing and growing software engineering teams through hiring, coaching, performance, and career-development cycles.
  • Strong technical foundation in distributed, cloud-based systems, including design and code review.
  • Track record of delivering complex projects while maintaining high standards for quality, reliability, and performance.
  • Experience owning production services, incident response, on-call practices, technical debt, and SLAs.
  • Strong planning, prioritization, communication, and stakeholder-management skills.
  • Fluent use of AI code assistants, coding agents, and conversational AI across the software development lifecycle.

Nice to have

  • Experience with metadata, catalog, lineage, or discovery/search systems.
  • Experience with GraphQL APIs and high-throughput, multi-tenant data services.
  • Familiarity with analytics engineering and the dbt ecosystem.
  • Experience supporting enterprise or single-tenant customers with strict reliability and latency requirements.

Culture & Benefits

  • Fully remote work environment with a globally distributed workforce.
  • Employer-paid medical insurance, subject to country and worker type.
  • Paid time off, sick leave, parental leave, holidays, a Global Week of Rest, and volunteer days.
  • RSU grants, professional development opportunities, and training.
  • Mental health support, monthly cell phone stipend, and virtual team-building activities.

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