Location: San Francisco, CA (Hybrid)
The RoleVerse 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.
- 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 (schedule adherence, state-of-charge drift, command-to-confirmation latency, uptime and alarm volume) and use it to prioritize reliability work.
What We're Looking For (Minimum Qualifications)- 1-3 years of product management experience on grid-connected distributed energy resources software, embedded, or industrial control systems.
- Alternatively, 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 (Tesla, Fluence, Sungrow, LG, etc.) and a clear interest in moving into product.
- Hands-on exposure to software that talks to physical hardware and understands 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.
- A solid technical foundation in distributed systems, edge computing or IoT. You can reason about site-to-cloud architectures, data buffering, retries and failure modes, and you're comfortable reading API specs and telemetry data.
What Will Make You Stand Out (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. You've seen what it takes to bring a site online and keep it running.
- 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.
Base Pay Range$130,000-$200,000
This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to level, skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.
Benefits and Employee Perks - Competitive compensation and equity grant at a high-growth start up
- Comprehensive benefits package including medical, dental and vision insurance, and 401k
- Flexible hours and unlimited PTO
- Diverse and inclusive working environment
