Senior Solutions Engineer
envelio
Senior Solutions Engineer
envelio
SaaS digital twin grid management
Salary Range: 130000 to 150000 (Currency: USD) (Pay period: per-year-salary)
As we rapidly scale in the U.S., we're looking for a Senior Solutions Engineer to join our growing team and help shape the future of clean energy.
As a Senior Solutions Engineer at envelio, you'll sit at the intersection of utilities, product, and sales—helping our customers understand what's possible with our platform and guiding them from initial onboarding through successful deployment and long-term adoption.
In this role, you'll serve as a trusted advisor to utility customers, leveraging your expertise in power systems, grid planning, and utility operations to help customers unlock value from the Intelligent Grid Platform (IGP). You'll own customer implementation projects end-to-end, collaborate closely with product and engineering teams, and act as the voice of the customer to influence future product development.
📌 Location: Midwest preferred (Central Time Zone).
✈️ Travel: Travel to conferences, customer meetings, and the Boston office required
👤 Reports to: Senior Manager - Solutions Engineering, Alvina Brieff
envelio is an equal opportunity employer. We maintain a policy of non-discrimination in providing equal employment to all qualified employees and candidates regardless of race, sex, sexual orientation, gender identity, age, color, religion, national origin, disability, genetic information, pregnancy, protected veteran’s status, or other legally protected classification in accordance with applicable federal, state and local law. If you need an accommodation because of a disability to complete an online application, please contact the envelio Team by emailing, [email protected].
envelio provides a cloud-based service called the Intelligent Grid Platform (IGP) that creates a digital twin of the power grid to help distribution system operators manage the energy transition. The platform digitizes and automates tasks like grid planning, operations, and interconnection requests for renewable energy sources and EV charging, using machine learning to improve data quality, build validated grid models, and run real-time simulations to forecast grid states and hosting capacity. It differentiates itself by combining a digital twin with automated workflows to dramatically shorten technical evaluations and support DER integration for DSOs of all sizes, with notable clients and strategic backing from E.ON and a North American expansion. Its goal is to speed up grid modernization and enable easier integration of distributed energy resources through automation and digital modeling.
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