Engineering Manager, Grid Model Management (Tapestry) (AI)

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 software and data infrastructure for a cleaner, more reliable electric grid.

What you will do

• Lead the technical strategy for a collaborative “Git for the Grid” platform that supports versioning, comparison, branching, merging, and collaboration on large-scale grid models.
• Design scalable systems that integrate complex grid data across formats, time horizons, and planning scenarios.
• Build high-throughput ingestion pipelines and automated validation checks that produce trusted production-ready models.
• Define architecture for growing products, partners, and increasingly complex grid-planning requirements.
• Hire, mentor, and develop software engineers while fostering technical excellence, collaboration, and ownership.
• Partner with Product, UX, Data Science, Machine Learning, and Power Systems specialists to translate grid challenges into reliable software.

Requirements

• Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, or equivalent practical experience.
• 8+ years of experience designing and building complex software, distributed systems, or data infrastructure.
• 3+ years of direct software engineering management experience, including hiring, developing engineers, and delivering complex products.
• Strong experience with distributed systems, cloud infrastructure, large-scale data platforms, and graph or spatial data systems.
• Experience with complex state management, data versioning, event-driven architectures, or similar technical challenges.
• Strong architectural judgment and the ability to translate complex technical, mathematical, or physical-domain requirements into scalable software.

Nice to have

• Experience with electric grid modeling, transmission planning, power flow, or related power systems concepts.
• Familiarity with CIM/CGMES, PSS/E, PSLF, or similar industry standards and formats.
• Experience with knowledge graphs, semantic technologies, graph databases, geospatial systems, or collaborative versioning platforms.

Culture & Benefits

• Culture centered on ownership, purposeful transformation, collaboration, continuous refinement, and open-mindedness.
• Flexible hybrid work model.
• Competitive salary, equity, bonus, and employer-supported 401(k).
• Medical, dental, and vision coverage with generous paid time off.
• Professional development and the opportunity to work on real-world energy infrastructure problems.