Global Engineering Manager — AI-Powered Grid Systems

Tapestry

Mountain View (CA)

Hybrid

USD 207,000 - 304,000

Full time

9 days ago

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Benefits offered by this job

Competitive salary and equity
Medical, dental, and vision coverage
Generous PTO
401(k) with employer contribution
Professional development
Alphabet-backed environment

Job summary

Tapestry is seeking an Engineering Manager to lead a world-class team of engineers responsible for powering an evolving electric grid across the planet. You will own the technical strategy and infrastructure for global deployments in multiple regions and work closely with Product, UX, Data Science, ML, and Power Systems teams.

The role emphasizes building high-performing teams, bridging product vision with architecture, and ensuring distributed systems are resilient and scalable while remaining

Qualifications

  • Bachelor’s degree in CS, EE, or related technical discipline.
  • 3+ years of technical leadership and people management.
  • 8+ years building scalable, cloud-based production systems (GCP preferred).
  • Experience with large-scale data processing, backend services, and frontend design.
  • Strong problem-solving and communication skills.
  • Ability to translate ML and software concepts for diverse audiences.

Responsibilities

  • Scale the team and mentor engineers.
  • Define technical strategy and infrastructure for global deployments.
  • Collaborate with Product, UX, Data Science, ML, and Power Systems to align requirements.
  • Provide hands-on guidance to unblock critical bottlenecks.

Skills

Technical leadership
People management
Distributed systems
Cloud architectures
Data processing

Education

Bachelors in CS/EE

Tools

GCP
Graph databases RDF

Job description

Tapestry is seeking an Engineering Manager to lead a world-class team of engineers responsible for powering an evolving electric grid across the planet. You will own the technical strategy and infrastructure for global deployments in multiple regions and work closely with Product, UX, Data Science, ML, and Power Systems teams.

The role emphasizes building high-performing teams, bridging product vision with architecture, and ensuring distributed systems are resilient and scalable while remaining

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