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Product Manager, Grid Computations

Mountain View, CA

About the team:

Tapestry is a team within Alphabet 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 product 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 Tapestry

As the Product Manager for Computations, you will lead the product roadmaps to incorporate and develop cutting-edge algorithms for grid decision-making. You are expected to act as an incubator for next-generation computational technologies, identifying and scaling innovations that redefine industry benchmarks. Your mission is to support building a comprehensive suite of computational capabilities  that empowers both power users and AI agents to solve the industry's most difficult problems..

How you will make 10X Impact:

  • Innovation Incubation & Launch: Lead the end-to-end lifecycle of breakthrough computational engines. Partner with Research and Engineering to transform high-potential experiments into production-ready platform features that deliver massive performance gains for grid-scale simulations and optimizations.
  • Product Roadmap & Strategy: Define the long-term vision and product roadmap for Tapestry’s simulation and algorithmic capabilities. Prioritize feature development based on application needs, market impact, technical feasibility, and customer urgency. Translate high-level mission goals into actionable engineering milestones for the simulation team.
  • Drive Algorithmic Excellence: Collaborate with engineering to define requirements and roadmaps. Oversee the evolution of core simulation engines, ensuring they meet the performance and accuracy requirements for Tapestry’s priority use cases. Evaluate trade-offs in algorithmic approaches for different applications.
  • Ensure Product Suite and Partner Alignment: Engage with PMs who are building applications for utilities, system operators, and data center developers to understand their roadmaps and requirements and incorporate them into algorithm development plans. Act as a subject matter expert to ensure that our algorithmic capabilities align with regulatory and industry standards.

What you should have: 

  • Bachelor’s degree in electrical engineering, mathematics, physics, or computer science with experience in power systems
  • 5+ years of product management experience.
  • Proven success building and shipping software products
  • Proven experience and technical fluency in defining, building, and scaling algorithms .

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

  • Deep expertise in power systems engineering and/or optimization
  • Experience navigating complex regulatory environments and working with utilities or ISOs a plus
  • Experience with grid enhancement technologies (GET), or power systems control a plus
  • Track record of innovation, eg patents and published research in power systems.
  • Experience leading technical initiatives or founding startups in the energy space.
  • Technical fluency in grid modeling, simulations, and advanced power electronics.
  • A strong communicator capable of representing complex technical products to both internal and external audiences.

The US base salary range for this full-time position is $163,000 - $245,000 + 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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