3 дня назад
Senior Engineering Manager, Grid Applications, Tapestry (AI)
262 000 - 369 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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