Job Description: Product Manager – IoTLocation: BengaluruExperience: 2 - 3 years About Solar SquareSolar Square (SSE) is India’s largest and fastest-growing residential rooftop solar company.We are on a mission to make solar simple, safe, and reliable for every Indian home - powering the country’s transition to independent clean energy.Recognized by the World Economic Forum (Technology Pioneers 2025), TIME &amp; Statista’s World’s Top Greentech Companies, and Forbes Top 100 To Watch, Solar Square is helping shape the future of home energy in India. The RoleAs Group Product Manager - IoT &amp; Asset Intelligence, you will own the product portfolio responsible for software PM who would have ideally worked in an industry where IoT was used - e.g. EVs, Logistics etc. even similar companies as Schneider/Enphase but on the software side. monitoring, interpreting, and acting on signals from Solar Square’s installed asset base - solar plants ,inverters, batteries, and hybrid energy systems. This is a senior, hands-on role with direct accountability for outcomes across a domain where software decisions have immediate physical consequences: a missed alert means a degraded plant; a poorly routed signal means a preventable liability.The core of this role is the intelligence layer - turning raw hardware signals into high-confidence,actionable information that the right stakeholder can act on without needing to interpret the datathemselves. Product decisions here directly affect plant uptime, field-force utilization, financial liabilities, and customer trust. Scope &amp; Ownership● Own the asset monitoring and intelligence product portfolio - including plant health monitoring,alert detection and triage logic, remote corrective action workflows, and customer-facingperformance visibility. Scope spans solar plants today and extends to batteries and hybrid energysystems as SSE’s product portfolio expands.● Build the intelligence layer that turns raw IoT signals into confident, stakeholder-readyinformation - defining what constitutes a meaningful alert, how severity is assessed, whichissues can be resolved remotely versus require a field dispatch, and how false positive rates arereduced over time.● Unify data streams from heterogeneous hardware (inverters, meters, battery managementsystems, hybrid controllers) into a coherent data model that powers downstream productsreliably - without requiring every consumer of that data to understand the underlying hardwarecomplexity.● Extend monitoring and intelligence capabilities to batteries and hybrid systems - understand howthe data model, alert logic, and health metrics differ from solar-only plants, and build a productlayer that handles multi-asset homes without fragmenting the platform.● Design the information surfaces that enable each stakeholder to act with confidence - a centralresponse team that needs system-level triage context, field teams that need precise dispatchbriefs, and customers who need clear, jargon-free visibility into their plant and energy systemhealth.● Own the signal-to-dispatch handoff - define what a well-formed, actionable dispatch looks like so that field scheduling and execution teams can act on it without re-investigating the problem.Quality of this output is a core accountability of the role.● Identify and address structural noise in the alert pipeline - recurring false positives, signals thatdon’t close the loop after resolution, and patterns that indicate a model or data quality problemrather than a real asset issue.● Set priorities across product areas and coach PMs on problem framing, solution quality, anddecision-making under data uncertainty.● Partner with engineering to balance near-term reliability work with the foundational dataarchitecture investments required to scale the intelligence layer across asset types.What Success Requires● 2+ years of product management experience, with meaningful depth in IoT, telemetry, assetmonitoring, or intelligence systems - energy management, fleet telematics, smart infrastructure,predictive maintenance, or similar contexts where physical signals drive operational decisions.● Experience building products on top of IoT or sensor data - understands data quality challenges(signal inconsistency, false positives, dropout, protocol variance), can reason about alert logicfrom first principles, and knows how to build feedback loops that improve signal fidelity overtime.● Familiarity with multi-asset or multi-hardware environments is a meaningful advantage -experience spanning solar inverters, battery systems, or hybrid energy controllers is directlyrelevant. Candidates who have worked on EV charging infrastructure, home energy managementsystems, or storage-integrated solar platforms are particularly well-suited.● Comfort making decisions with imperfect data - can reason through asymmetry, missing signals,and competing interpretations without waiting for perfect information, while being explicitabout where uncertainty lives and how it should affect downstream action.● Technical fluency sufficient to engage credibly with engineers on data models, MQTT pipelines,API design, and system architecture. Act as a genuine peer to Engg, helping identify the rightquestions and pressure-test design choices.● Proven experience owning business outcomes in signal-driven or asset-monitoring environments(alert precision, false positive rates, time-to-detection, liability reduction, plant uptime).● Demonstrated capability to lead and coach PMs - sets a high bar on problem framing andsolution quality, and builds an environment where the team owns problems rather than waitingfor direction.● Active use of AI tools in day-to-day product work - can point to specific, concrete ways AI haschanged how they work, and is curious about how AI changes alert intelligence, anomalydetection, and predictive maintenance in an IoT product context.● Excellent cross-functional credibility with engineering and operations leaders - built throughjudgment and follow-through