As a Group Product Manager for IoT & Asset Intelligence, you will own the product portfolio responsible for monitoring, interpreting, and acting on signals from our installed asset base, including inverters, batteries, and hybrid energy systems. This is a senior, hands-on role with direct accountability for outcomes in a domain where software decisions have immediate physical consequences. The core of this role is the intelligence layer – turning raw hardware signals into high-confidence, actionable information that stakeholders can act on without needing to interpret the data themselves.
Requirements
Key Responsibilities
Own the asset monitoring and intelligence product portfolio, including plant health monitoring, alert detection and triage logic, remote corrective action workflows, and customer-facing performance visibility. Scope spans solar plants today and extends to batteries and hybrid energy systems.
Build the intelligence layer that turns raw IoT signals into confident, stakeholder-ready information, defining meaningful alerts, severity assessment, remote resolution criteria, and false positive reduction strategies.
Unify data streams from heterogeneous hardware (inverters, meters, battery management systems, hybrid controllers) into a coherent data model that powers downstream products reliably.
Extend monitoring and intelligence capabilities to batteries and hybrid systems, handling multi-asset configurations without fragmenting the platform.
Design information surfaces for various stakeholders: central response teams needing triage context, field teams needing precise dispatch briefs, and customers needing clear visibility into plant and energy system health.
Own the signal-to-dispatch handoff, defining actionable dispatch requirements for field scheduling and execution teams.
Identify and address structural noise in the alert pipeline, including recurring false positives and patterns indicating data quality issues.
Set priorities across product areas and coach Product Managers on problem framing, solution quality, and decision-making under data uncertainty.
Partner with engineering to balance near-term reliability work with foundational data architecture investments for scaling the intelligence layer.
️ Required Skills
Product Management, IoT, Asset Monitoring, MQTT, API Design, System Architecture, Alert Precision
✨ Good to Have
EV Charging InfrastructureHome Energy Management SystemsStorage-Integrated Solar Platforms
Soft Skills
Communication
Leadership
Coaching
Technical Fluency
Judgment
Follow-through
Curiosity
Critical Skills
IoT
Product Management
About the Company
Focus on outcomes and immediate physical consequences of software decisions.
Emphasis on turning raw data into actionable insights.
Collaborative environment with strong partnerships between product and engineering.
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