Product Manager IOT

• : Product Manager – IoT
• Location: Bengaluru
• Experience: 2 - 3 years

About Solar Square

Solar Square (SSE) is Indias 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 countrys transition to independent clean energy.

Recognized by the World Economic Forum (Technology Pioneers 2025), TIME & Statistas Worlds Top Greentech Companies, and Forbes Top 100 To Watch, Solar Square is helping shape the future of home energy in India.

The Role

As Group Product Manager - IoT & 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 Squares 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 data
• themselves. Product decisions here directly affect plant uptime, field-force utilization, financial liabilities, and customer trust.

Scope & Ownership

• ● 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 as SSEs product portfolio expands.
• ● Build the intelligence layer that turns raw IoT signals into confident, stakeholder-ready
• information - defining what constitutes a meaningful alert, how severity is assessed, which
• issues can be resolved remotely versus require a field dispatch, and how false positive rates are
• reduced over time.
• ● Unify data streams from heterogeneous hardware (inverters, meters, battery management
• systems, hybrid controllers) into a coherent data model that powers downstream products
• reliably - without requiring every consumer of that data to understand the underlying hardware
• complexity.
• ● Extend monitoring and intelligence capabilities to batteries and hybrid systems - understand how
• the data model, alert logic, and health metrics differ from solar-only plants, and build a product
• layer that handles multi-asset homes without fragmenting the platform.
• ● Design the information surfaces that enable each stakeholder to act with confidence - a central
• response team that needs system-level triage context, field teams that need precise dispatch
• briefs, and customers who need clear, jargon-free visibility into their plant and energy system
• health.

● 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 that
• dont close the loop after resolution, and patterns that indicate a model or data quality problem
• rather than a real asset issue.
• ● Set priorities across product areas and coach PMs on problem framing, solution quality, and
• decision-making under data uncertainty.
• ● Partner with engineering to balance near-term reliability work with the foundational data
• architecture 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, asset
• monitoring, 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 logic
• from first principles, and knows how to build feedback loops that improve signal fidelity over
• time.
• ● Familiarity with multi-asset or multi-hardware environments is a meaningful advantage -
• experience spanning solar inverters, battery systems, or hybrid energy controllers is directly
• relevant. Candidates who have worked on EV charging infrastructure, home energy management
• systems, 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 explicit
• about 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 right
• questions 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 and
• solution quality, and builds an environment where the team owns problems rather than waiting
• for direction.
• ● Active use of AI tools in day-to-day product work - can point to specific, concrete ways AI has
• changed how they work, and is curious about how AI changes alert intelligence, anomaly
• detection, and predictive maintenance in an IoT product context.
• ● Excellent cross-functional credibility with engineering and operations leaders - built through
• judgment and follow-through