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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