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Engineering Manager, Grid Model Management

Mountain ViewHybridFull TimeManager / Head$207,000–$304,000 /yrPosted 1 month ago

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Required skills

  • distributed systems
  • complex software
  • data infrastructure
  • software engineering teams
  • cloud infrastructure
  • large-scale data platforms
  • graph data systems
  • spatial data systems
  • complex state management
  • data versioning

Nice to have

  • electric grid modeling
  • transmission planning
  • power flow
  • power systems concepts
  • CIM/CGMES
  • PSS/E

Role summary

Tapestry, an Alphabet-backed group focused on AI for the electric grid, seeks an Engineering Manager for Grid Model Management. This highly technical leadership role involves leading a team to build a platform for managing large-scale grid models. Responsibilities include setting technical direction, growing the engineering team, and architecting systems for data versioning, comparison, and collaboration. The ideal candidate has 8+ years in distributed systems and data infrastructure, with 3+ years in people management, and experience with complex state management and data versioning. Familiarity with energy grid concepts and standards is a plus.

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

Electric grid planning depends on enormous amounts of complex data, often spread across disconnected systems and incompatible formats. Tapestry is building a new foundation for managing that complexity.

As an Engineering Manager, Grid Model Management, you will lead the team building the platform that brings large-scale grid models together into a consistent, reliable source of truth.

This is a highly technical leadership role at the intersection of distributed systems, complex data infrastructure, and the physical power grid. You will set technical direction, grow a high-performing engineering team, and build systems that enable grid planners to manage and evolve complex models with greater speed and confidence.

How You Will Make 10X Impact

  • Architect “Git for the Grid”: Lead the technical strategy for a platform that enables teams to version, compare, branch, merge, and collaborate on large-scale grid models.
  • Build a scalable grid data foundation: Design systems that bring together complex grid data across different formats, time horizons, and planning scenarios.
  • Scale ingestion and validation: Develop reliable, high-throughput pipelines and automated quality checks that turn fragmented data into trusted, production-ready models.
  • Set the technical vision: Define an architecture that can scale with Tapestry’s products, partners, and increasingly complex grid-planning needs.
  • Build and develop an exceptional team: Hire, mentor, and grow engineers while fostering a culture of technical excellence, collaboration, and ownership.
  • Bridge technology and the energy domain: Partner with Product, UX, Data Science, Machine Learning, and Power Systems experts to translate complex grid challenges into intuitive, reliable software.
  • Enable global impact: Build capabilities that can adapt to the needs of grid operators and energy partners across different markets and regions.

    • What You Should Have

  • 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 experience directly managing software engineering teams, including hiring, developing engineers, and delivering complex products.
  • Strong experience with distributed systems, cloud infrastructure, and large-scale data platforms, including graph or spatial data systems.
  • Experience designing systems involving complex state management, data versioning, event-driven architectures, or similar technical challenges.
  • Strong architectural judgment, with demonstrated experience setting technical direction for complex systems.
  • Ability to translate complex technical, mathematical, or physical-domain requirements into scalable, reliable software.

    • It’d be great if you also had one or more of these

  • Familiarity with electric grid modeling, transmission planning, power flow, or related power systems concepts.
  • Experience with industry standards or formats such as CIM/CGMES, PSS/E, PSLF, or similar technologies.
  • Experience with knowledge graphs, semantic technologies, graph databases, or geospatial systems.
  • Experience building collaborative platforms involving versioning, editing, review, comparison, or change tracking.

    • Our values

  • Take charge: We take initiative and own outcomes that move the mission forward.
  • Transform with purpose: We build solutions that solve real problems and create meaningful impact.
  • Be a Tapestry, not a thread: We collaborate across diverse skills and perspectives to achieve more than we can individually.
  • Always fine-tune: We stay curious, seek feedback, and refine our understanding as we learn.
  • Stay grounded: We listen openly, value different perspectives, and stay focused on what matters most.

    • What we offer

    A culture that supports growth, ownership, and meaningful impact, along with:

  • 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

    • The US base salary range for this full-time position is $207,000 - $304,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.

    Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

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