Staff Product Manager- Energy Intelligence Platform

Role Summary

We’re hiring a Staff Product Manager to build Amperesand's Energy Intelligence Platform, the software brain that makes our power converters smart and dynamic software defined assets. You will build from scratch and own the development and launch of an AI native control and monitoring platform, from firmware to edge compute to cloud dashboards. You will supercharge the hardware and design the software stack that turns our power electronics into flexible, reliable, grid responsive assets for customers. You will shape the business and partner with executives to define pricing, positioning and go to market strategy for the software platform.

If you're passionate about building impactful AI native software at the intersection of electrification and grid modernization, this is your opportunity to lead.

Responsibilities:

• Own the software roadmap and full product lifecycle for site level controls, monitoring, diagnostics, and customer integrations, from requirements through launch, adoption, and long term maintenance
• Define software strategy for how our site controllers interact with local customer sytems and authorized cloud systems
• Apply AI and machine learning techniques to build predictive analytics, e.g., predictive maintenance, load forecasting, into the Energy Intelligence Platform
• Drive customer discovery and competitive analysis to identify unmet needs across utility, neo clouds and hyperscalers to set product direction and prioritize the roadmap
• Influence business strategy and product positioning by via data backed customer insights for executive leadership
• Work directly with customers to drive alignment between software development and field performance needs, e.g., availability, latency, MTTR
• Track and report KPIs for system performance, platform stability, and user experience
• Be a subject matter expert, staying abreast of technical and business developments in distributed and grid connected asset controls and interfaces

Qualifications:

To succeed in this role, you’ll need technical fluency, systems thinking, and hands on product launch experience:

• 5+ years in a product function for industrial or energy software, control systems or software orchestrating distributed assets. Must have shipped major products or releases and have significant individual ownership
• Experience with one or more of: EMS, SCADA, DERMS, or grid edge control systems
• Familiarity with one or more industrial communication protocols, e.g., Modbus RTU TCP, DNP3, OPC UA, CAN, GOOSE, IEEE 2030.5
• Experience building with hardware software teams in complex, high reliability markets
• Excellent communication skills, able to bridge technical, customer, and business contexts
• Proficient user of AI agents, Jira, Git, Figma or equivalent, experience producing PRDs, integration guides, and release documentation
• Bachelor’s degree in Engineering, Computer Science, Physics, or a related field

Bonus Qualifications:

• Understanding of deterministic control loops, fault tolerant design, and embedded cloud control handoffs, experience with Linux based edge devices, gateways, or PLCs
• Integration experience with inverters, BESS, relays, metering, site controller architectures, and local supervisory logic for microgrid or distributed energy control
• Experience defining requirements and managing integration with customer side EMS, SCADA, and building or battery management systems, exposure to IEC 61850, IEEE 2030.5, DNP3, or similar
• Knowledge of telemetry data structures, e.g., time series, events, alarms, ability to specify logging, diagnostics, and performance KPIs for distributed assets
• Hands on experience securing edge devices in the field, OTA update pipelines, software signing, OT IT segmentation, and remote fleet monitoring across distributed assets
• Experience applying machine learning to operational technology contexts, e.g., predictive maintenance, anomaly detection, load forecasting, or optimization of distributed energy assets

We'd love to learn more about you if you thrive in a fast paced environment tackling one of the most important infrastructure challenges of our time. Let's go.

Please note: This role is on site 5 days a week at our San Francisco or Reno hub. We believe the best product decisions happen next to the systems you’re shipping.

Role Summary

We’re hiring a Staff Product Manager to build Amperesand's Energy Intelligence Platform, the software brain that makes our power converters smart and dynamic software defined assets. You will build from scratch and own the development and launch of an AI native control and monitoring platform, from firmware to edge compute to cloud dashboards. You will supercharge the hardware and design the software stack that turns our power electronics into flexible, reliable, grid responsive assets for customers. You will shape the business and partner with executives to define pricing, positioning and go to market strategy for the software platform.

If you're passionate about building impactful AI native software at the intersection of electrification and grid modernization, this is your opportunity to lead.

Responsibilities:

• Own the software roadmap and full product lifecycle for site level controls, monitoring, diagnostics, and customer integrations, from requirements through launch, adoption, and long term maintenance
• Define software strategy for how our site controllers interact with local customer sytems and authorized cloud systems
• Apply AI and machine learning techniques to build predictive analytics, e.g., predictive maintenance, load forecasting, into the Energy Intelligence Platform
• Drive customer discovery and competitive analysis to identify unmet needs across utility, neo clouds and hyperscalers to set product direction and prioritize the roadmap
• Influence business strategy and product positioning by via data backed customer insights for executive leadership
• Work directly with customers to drive alignment between software development and field performance needs, e.g., availability, latency, MTTR
• Track and report KPIs for system performance, platform stability, and user experience
• Be a subject matter expert, staying abreast of technical and business developments in distributed and grid connected asset controls and interfaces

Qualifications:

To succeed in this role, you’ll need technical fluency, systems thinking, and hands on product launch experience:

• 5+ years in a product function for industrial or energy software, control systems or software orchestrating distributed assets. Must have shipped major products or releases and have significant individual ownership
• Experience with one or more of: EMS, SCADA, DERMS, or grid edge control systems
• Familiarity with one or more industrial communication protocols, e.g., Modbus RTU TCP, DNP3, OPC UA, CAN, GOOSE, IEEE 2030.5
• Experience building with hardware software teams in complex, high reliability markets
• Excellent communication skills, able to bridge technical, customer, and business contexts
• Proficient user of AI agents, Jira, Git, Figma or equivalent, experience producing PRDs, integration guides, and release documentation
• Bachelor’s degree in Engineering, Computer Science, Physics, or a related field

Bonus Qualifications:

• Understanding of deterministic control loops, fault tolerant design, and embedded cloud control handoffs, experience with Linux based edge devices, gateways, or PLCs
• Integration experience with inverters, BESS, relays, metering, site controller architectures, and local supervisory logic for microgrid or distributed energy control
• Experience defining requirements and managing integration with customer side EMS, SCADA, and building or battery management systems, exposure to IEC 61850, IEEE 2030.5, DNP3, or similar
• Knowledge of telemetry data structures, e.g., time series, events, alarms, ability to specify logging, diagnostics, and performance KPIs for distributed assets
• Hands on experience securing edge devices in the field, OTA update pipelines, software signing, OT IT segmentation, and remote fleet monitoring across distributed assets
• Experience applying machine learning to operational technology contexts, e.g., predictive maintenance, anomaly detection, load forecasting, or optimization of distributed energy assets

We'd love to learn more about you if you thrive in a fast paced environment tackling one of the most important infrastructure challenges of our time. Let's go.

Please note: This role is on site 5 days a week at our San Francisco or Reno hub. We believe the best product decisions happen next to the systems you’re shipping.