Location: San Francisco, CA (Hybrid)
What is Verse?
Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving unprecedented demand for power, while energy costs continue to rise across the globe. For the world's largest energy buyers, managing energy has never been more complex or more critical.
Verse helps these organizations manage complex power portfolios with confidence by unifying energy data, planning, forecasting, and operations in one tool. Our Energy Cost Intelligence platform, Aria, brings together energy, finance, and operations teams with real-time, finance-ready intelligenceâreplacing spreadsheets and consultants with precision across the entire energy lifecycle. Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs.
The Role
Verse is building a real-time control platform that dispatches distributed battery fleets to maximize revenue across energy markets. We're looking for a Product Manager who will own the operational backbone of this system: the layer where software meets physical hardware, where commands travel from the cloud to a battery inverter and telemetry flows back, and where uptime guarantees matter.
You'll work across two pods: Fleet Telemetry & Control (device integration, real-time site controllers, OEM protocol translation, and local safety logic) and Site-to-Cloud Integration (the communication, configuration, and dispatch infrastructure that connects edge devices to cloud optimization). Your surface area spans Modbus device mapping across multiple OEMs (Tesla, Sungrow, Fluence), site-local control loops for export limits, demand management, and solar ITC compliance, telemetry ingestion pipelines, alarm management, config synchronization, and the dispatch path that translates cloud-optimized schedules into real-time battery bePlease mention the word **STIMULATE** and tag RNTEuMTU5Ljc2LjI5 when applying to show you read the job post completely (#RNTEuMTU5Ljc2LjI5). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.