Product Manager

Location: San Francisco, CA (Hybrid)

What is Verse? 

The race to AI has become the race to power. Every breakthrough in artificial intelligence depends on one thing: access to electricity. But across the country, aging grid infrastructure and years-long interconnection queues are slowing the deployment of the data centers that will power the next generation of innovation. Solving this challenge isn't just about energy, it's about unlocking the future of AI.

At Verse, we're building the energy intelligence platform for the AI economy. Our software helps the world's largest energy consumers achieve faster, cheaper, and cleaner power by combining real-time control of energy assets with complete visibility into their energy portfolio. Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale batteries, energy markets, and enterprise software, we're redefining how the world's most ambitious organizations access and manage energy.

The Role

Verse builds energy intelligence software for AI data centers and other large energy consumers. Our Dispatch Intelligence platform monitors and controls on-site batteries and other distributed energy resources in real time, so data centers keep compute online while the grid sees a flexible load. The same batteries earn revenue in energy markets such as ERCOT, CAISO and PJM.

We are hiring a Product Manager to own the real-time telemetry, control and model predictive optimization layer of Dispatch Intelligence. You will build high-performance software that controls distributed energy resources, running on edge gateways or hardware-level virtualization platforms at customer sites. Working side by side with engineers, you will own the product requirements shaping how our platform connects to and controls equipment at each site. You will also own how optimized schedules are executed at the site and what happens when any of those steps fails.

Key Responsibilities

• Drive OEM integrations across BESS manufacturers (Tesla, Sungrow, Fluence, LG, etc) and meters, including telemetry ingestion, alarm management  and complex multi-device site topologies and configuration across the fleet.
• Own features on the fleet telemetry and real-time controls roadmap from requirements through release, from device integration and OEM protocol translation (Modbus, DNP3) to real-time safety logic. 
• Own end-to-end requirements for the dispatch path from the cloud optimizer to the site.
• Partner with engineering and data science teams to own optimization engine decisions, from the cloud to the device and back, and design how the system recovers when any link in that chain breaks.