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Salary: USD 130,000 - 200,000 / annual
Verse is building an energy intelligence platform for the AI economy, helping large energy consumers achieve faster, cheaper, and cleaner power through real-time control of energy assets and complete visibility into their energy portfolio. The company is backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and was founded by pioneers in grid-scale batteries, energy markets, and enterprise software.
You will own the real-time telemetry, control, and model predictive optimization layer of Verse's Dispatch Intelligence platform. This platform monitors and controls on-site batteries and other distributed energy resources in real time, allowing data centers to keep compute online while presenting a flexible load to the grid. The same batteries earn revenue in energy markets such as ERCOT, CAISO, and PJM.
Working closely with engineering and data science teams, you will drive the product requirements that shape how the platform connects to and controls equipment at customer sites. You will own how optimized schedules are executed at the site and what happens when any step fails.
Key responsibilities include:
- Drive OEM integrations across battery energy storage system (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, including 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 cloud to device and back, and design how the system recovers when any link in that chain breaks.
- Write technical PRDs, test plans, and scenario write-ups that engineers, operators, and customers can act on.
- Take features and the platform to general availability, covering deployment, customer and site network scheduling, rollback plans, and results reporting.
- Track dispatch health metrics (schedule adherence, state-of-charge drift, command-to-confirmation latency, uptime, and alarm volume) and use them to prioritize reliability work.
Requirements:
- 1–3 years of product management experience on grid-connected distributed energy resources software, embedded systems, or industrial control systems; OR 2–4 years in a related technical role (technical program management, applications engineering, project engineering, commissioning/controls engineering, or NOC/fleet operations), ideally working with battery energy storage systems and demonstrating clear interest in moving into product.
- Hands-on exposure to software that talks to physical hardware and understanding of the reliability, latency, and integration challenges that come with it.
- Working knowledge of device communication and messaging protocols (e.g., Modbus, DNP3, NATS) or experience integrating with third-party hardware vendors with different APIs, firmware versions, and data formats.
- Solid technical foundation in distributed systems, edge computing, or IoT. Ability to reason about site-to-cloud architectures, data buffering, retries, and failure modes; comfort reading API specs and telemetry data.
Preferred qualifications:
- Familiarity with optimization and forecasting concepts, or AI data center requirements such as load smoothing and low voltage ride through.
- Background in site commissioning, field operations, or NOC workflows.
- Familiarity with how large data center loads participate in PJM or other wholesale markets, including large load interconnection, capacity markets, demand response, and flexible load commitments.
- Familiarity with AVEVA/OSIsoft PI, utility SCADA integration, or market access provider APIs (e.g., Enel, PJM) for grid services dispatch.
- Technical degree (Electrical Engineering, Computer Science, Mechatronics, or similar) or equivalent hands-on experience with control systems.
