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3 дня назад

Senior Engineering Manager, Grid Applications, Tapestry (AI)

262 000 - 369 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Engineering Manager, Grid Applications, Tapestry (AI): Leading the technical strategy and development of enterprise applications for an AI-powered electric grid with an accent on distributed systems, large-scale data processing, reliability, and security. Focus on architecting Google-scale applications, translating ambiguity into technical roadmaps, and building high-performing engineering teams.

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

Base salary: $262,000–$369,000 per year, plus bonus, equity, and benefits.

Company

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

What you will do

  • Define and drive technical strategy aligned with product roadmaps and customer priorities.
  • Guide the architecture and design of enterprise applications for planet-scale electric-grid systems.
  • Set engineering standards for scalability, availability, fault tolerance, security, and reliability.
  • Translate complex business ambiguity into concrete technical roadmaps for teams and stakeholders.
  • Provide hands-on technical guidance, mentorship, and support on design and implementation.
  • Coach engineers and technical leaders while building high-performing teams and organizational capabilities.

Requirements

  • 12+ years of software engineering experience, focused on distributed systems, backend infrastructure, and enterprise applications.
  • At least 10 years of formal people management or high-impact technical leadership experience.
  • Experience designing, building, and scaling reliable production systems and applications.
  • Thorough knowledge of large-scale data processing and modeling.
  • Deep understanding of reliability engineering, performance optimization, and engineering tools and processes for large teams.
  • Ability to translate high-level ambiguity into concrete technical roadmaps.

Nice to have

  • PhD in Computer Science or a related quantitative field.
  • Experience in a zero-to-one environment or building a new geographic engineering site.
  • Experience building LLM-orchestrated distributed systems or autonomous agent frameworks.
  • Interest in using data and technology to improve the reliability, affordability, and cleanliness of energy systems.

Culture & Benefits

  • Culture focused on ownership, purposeful transformation, collaboration, continuous refinement, and grounded decision-making.
  • Medical, dental, and vision coverage.
  • Generous paid time off and flexible hybrid work.
  • 401(k) with employer contribution.
  • Professional development, competitive salary, equity, and bonus.

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