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3 часа назад

Engineering Manager, Tapestry (AI)

207 000 - 304 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US/Chile +3 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Engineering Manager, Tapestry (AI): Building scalable cloud infrastructure and distributed systems for an AI-powered electric grid with an accent on engineering team growth, large-scale data processing, and resilient enterprise software. Focus on architecting global deployments, translating complex energy and ML requirements into reliable systems, and solving critical technical bottlenecks.

Location: Mountain View, California, United States; flexible hybrid work model.

Salary: $207,000–$304,000 base salary per year, plus bonus, equity, and benefits.

Company

Tapestry is an Alphabet-backed group within Google building AI-powered tools for a more visible, reliable, affordable, abundant, and clean electric grid.

What you will do

  • Recruit, hire, mentor, and grow a high-performing engineering team.
  • Establish the technology foundation, tools, and technical strategy for global deployments.
  • Architect distributed systems capable of large-scale data processing and complex modeling.
  • Collaborate with Product, UX, Data Science, Machine Learning, and Power Systems specialists.
  • Translate complex energy requirements into reliable enterprise software.
  • Provide hands-on technical guidance and resolve critical design and implementation bottlenecks.

Requirements

  • Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical discipline.
  • 3+ years in a technical leadership role overseeing strategic projects, including 2+ years of direct people management.
  • 8+ years building and maintaining highly scalable, reliable cloud-based production systems; GCP experience is preferred.
  • Experience with large-scale data processing, backend services, and frontend design for enterprise-grade applications.
  • Strong problem-solving, communication, and collaboration skills.
  • Ability to explain complex ML and software concepts to diverse audiences.

Nice to have

  • Background in power systems, electrical engineering, or grid optimization.
  • Experience with RDF or other graph database technologies.
  • Experience in high-growth environments with changing requirements.
  • Familiarity with modern software development practices for global enterprise partners.

Culture & Benefits

  • Culture focused on ownership, inclusive collaboration, technical excellence, curiosity, and continuous improvement.
  • Medical, dental, and vision coverage.
  • Generous paid time off.
  • 401(k) with employer contribution.
  • Professional development opportunities.
  • Competitive salary, equity, bonus, and the opportunity to work on real-world energy infrastructure problems.

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