Senior Engineering Manager, Grid Applications

Tapestry • Mountain View, CA

1d • Hybrid

About The Position

About Tapestry Tapestry is a group within Google working to build the AI-powered electric grid. We are tackling one of the world’s most important infrastructure challenges: helping the energy system become more visible, understandable, reliable, affordable, abundant, and clean. Originally born at X, Alphabet’s moonshot factory, Tapestry brings together experts in energy, AI, software engineering, and products to build tools that help the electricity ecosystem plan smarter, move faster, and operate more efficiently. This is a global effort. Tapestry supports partners across the U.S., U.K., Chile, New Zealand, Australia, and Brazil as they work toward a cleaner, more resilient energy future. Joining Tapestry means doing high-impact work with a multidisciplinary team tackling a problem that matters at global scale. Learn more about our team and our mission here . About the role We are looking for a highly motivated and experienced engineering leader to join our growing team. In this role, you will own and lead the technical strategy and development for enterprise applications that will meet the needs of an evolving electric grid at planet scale. You will be a standard-bearer for engineering excellence and establish the tools, architecture, and best practices that empower our teams. You will lead teams through ambiguous and complex charters, driving innovation and pushing the boundaries of what's possible.

Requirements

• 12+ years of experience in software engineering with a deep focus on distributed systems, backend infrastructure, and enterprise applications, with at least 10 years in formal people management or high-impact technical leadership roles.
• Proven track record of 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 establishing engineering tools and processes for large teams.
• The ability to translate high-level "moonshot" ambiguity into concrete technical roadmaps for your team and stakeholders.

Nice To Haves

• PhD in Computer Science or a related quantitative field.
• Prior experience in a "zero-to-one" environment or building out a new geographic engineering site.
• Experience building LLM-orchestrated distributed systems or autonomous agent frameworks.
• A passion for using data and technology to create a future with reliable, affordable, and clean energy for everyone.

Responsibilities

• Own and drive Technical Strategy: Define and drive a forward-looking technical vision that closely aligns with product roadmaps and customer priorities.
• Architect at Scale: Guide the architecture and design of enterprise applications with the right emphasis on future scale, complexity, availability, fault tolerance, and security to earn partner trust and meet Google-scale reliability standards.
• Cross-functional collaboration and leadership: Partner seamlessly with product managers, user experience designers, data scientists, power systems engineers, and other engineering leaders to deliver high-impact solutions. You will translate high-level business ambiguity into concrete technical roadmaps for your teams and stakeholders.
• Hands-on technical contributions: Maintain strong technical depth and provide technical guidance and mentorship to the team on design and implementation, diving deep as needed.
• Build and develop high-performing teams: Coach and develop engineers and technical leaders, foster a strong engineering culture, and build the organizational capabilities needed to deliver against Tapestry's long-term goals.

Benefits

• Competitive salary and equity
• Medical, dental, and vision coverage
• Generous PTO and flexible hybrid work model
• 401(k) with employer contribution
• Professional development
• The ability to work on important real-world problems within an Alphabet-backed environment

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree