
51 - 200 employees
Founded 2011
⚡ Energy
🤖 Artificial Intelligence
☁️ SaaS
💰 $18M Venture Round - Bidgely on 2023-07
Energy • Artificial Intelligence • SaaS
Bidgely is an energy analytics company that provides utilities and energy providers with AI-powered software for customer energy insights, meter data analytics, and appliance-level energy disaggregation (non-intrusive load monitoring). Its platform uses machine learning to analyze smart meter and IoT data to enable customer engagement, demand response, energy efficiency programs, and distributed energy resource (DER) planning. Bidgely sells to enterprise utility customers as a B2B SaaS solution focused on improving customer experience and operational energy programs.
🔥 8 minutes ago
Where this job comes from
Posted on Bidgely's careers page, not through a job board
First seen by Remote Rocketship 8 minutes ago

51 - 200 employees
Founded 2011
⚡ Energy
🤖 Artificial Intelligence
☁️ SaaS
💰 $18M Venture Round - Bidgely on 2023-07
Energy • Artificial Intelligence • SaaS
Bidgely is an energy analytics company that provides utilities and energy providers with AI-powered software for customer energy insights, meter data analytics, and appliance-level energy disaggregation (non-intrusive load monitoring). Its platform uses machine learning to analyze smart meter and IoT data to enable customer engagement, demand response, energy efficiency programs, and distributed energy resource (DER) planning. Bidgely sells to enterprise utility customers as a B2B SaaS solution focused on improving customer experience and operational energy programs.
• Evaluate, benchmark and recommend open-source or licensed power flow engines • Integrate and operate the selected power flow engine within the product • Build and maintain the capacity digital twin of the grid • Define network, asset, AMI, SCADA and forecast data requirements and handle data gaps • Build repeatable utility integrations from CIM, GIS, vendor, SCADA and AMI sources • Engineer meter–transformer–phase confidence and SCADA calibration into the twin • Build scenario capabilities for base, future, flexibility, contingency and switching cases • Convert load, DER, EV, electrification and large-load forecasts into study-ready 8760 P/Q and phase cases • Engineer production-scale 8760 and time-series execution • Build real loading models using AMI-derived demand reconciled to SCADA • Build interconnection study workflows for new load and DER • Model large loads, data centers, phased energization, onsite generation, storage and UPS • Build firm, phased, conditional and flexible interconnection options • Create repair or alternate connection paths for failed cases • Own technical design, performance, failure handling and observability • Build QA and regression suites and validate results against planning tools and field data • Run rapid proofs of concept on utility data and turn successful approaches into production • Lead pilot and proof-of-value technical validation and defend results to utility planners and engineers • Partner with Product, the GM, Grid and Data Science on customer evidence
• BTech or MTech in Electrical Engineering; power systems specialisation preferred • 5+ years in distribution system modeling or power systems analysis, including models built personally from imperfect source data • Hands-on experience with at least one distribution power flow tool: OpenDSS, CYME, Synergi, PowerFactory, PSS®SINCAL or an ADMS power flow engine • Model validation experience, including benchmarking one tool against another and explaining differences • Experience working in a production codebase alongside software developers, under code review, with tests and CI • Ability to turn a utility's raw data into a working study in days, with shortcuts made explicit • Unbalanced three-phase distribution load flow knowledge • Working knowledge of the distribution capacity planning cycle • Preferred experience with load or DER interconnection studies • Strongly preferred large-load or data center interconnection experience • Strongly preferred flexible or non-firm interconnection experience • Strongly preferred connectivity model conversion at scale from CIM, GIS or vendor exports • Strongly preferred AMI interval data and 8760 forecasting experience • Strongly preferred DER hosting capacity, N-1 and switching analysis experience • Strongly preferred Python, including profiling numerical code at scale • Experience evaluating or integrating a commercial solver SDK • Utility consulting or EPC background with multi-utility exposure strongly preferred
• Competitive compensation • Benefits • Opportunities for professional growth
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