Home Loan Products Jobs in Ahmedabad

Designation: Sales Relationship Manager

Experience: 5 -10 years in sales (preferably in financial products, real estate, or banking). 

Location: Mumbai

Type: Full-time

Job Responsibilities 

• Source new customers for home loans through field visits, referrals, and tie-ups with builders, property dealers, and real estate agents. (Loan Against Property) 
• Meet potential clients to understand their financial requirements and recommend suitable loan products. 
• Achieve assigned sales and disbursement targets. 
• Ensure customer satisfaction and proper documentation of loan files. 
• Coordinate with credit and operations teams for loan processing. 
• Maintain regular follow-ups with leads and ensure timely conversion. 

Skills:  Good communication and interpersonal skills. 

             Understanding of home loan products and processes. 

             Ability to work in a target-driven environment. 

             Self-motivated and proactive. 

Eligibility Criteria 

• Education: Minimum Graduate (any discipline). 

Job Description: Product Manager – IoT

Location: Bengaluru

Experience: 2 - 3 years

About Solar Square

Solar 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 & 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 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 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 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 SSE’s 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

don’t 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

Job Description: Group Product Manager - Presales

Location: Bengaluru

Experience: 8–10 years

\

About SolarSquare

Solar Square 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 & 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 Role

As a Group Product Manager – Presales, you will own the product systems that sit at the heart of

SolarSquare’s lead-to-sales visit conversion engine. This is a senior, hands-on role with direct

accountability for outcomes across one of the company’s most commercially critical domains -

converting qualified intent into a scheduled, completed visit.

The role requires operating close to real-world conversion constraints while maintaining clarity across

multiple products and teams. Product decisions here directly affect lead conversion rates, LRM team

productivity, and the quality and volume of visits that feed the sales engine. Success depends on sharp

analytical judgment, the ability to build structure where little exists, and the discipline to turn a complex,

intervention-heavy presales motion into a system that scales reliably as the business grows.

Scope & Ownership

● Own a portfolio of presales-facing products and business problem areas - lead scoring and

prioritisation, intervention orchestration, LRM workflow tooling, and funnel conversion metrics.

● Build and own SolarSquare’s lead scoring capability - define what signals predict conversion,

distinguish correlation from causation, and work with engineering and data teams to translate

that into a scoring model that drives prioritisation decisions in real time.

● Own the intervention logic that determines how, when, and through which channel the LRM

team engages each lead - and systematically improve conversion outcomes through better

orchestration.

● Own the CRM redesign and workflow extension - understand the current system deeply (from

the ground up), identify where workflows have outgrown the system, and rebuild it to support

current workflows and new acquisition channels reliably.

● Identify and address recurring inefficiencies, rework, and escalations across the lead-to-visit

journey through better system and product design.

● Set priorities across product areas, ensuring focus on the highest-leverage opportunities for

conversion efficiency and LRM team productivity.

● Drive end-to-end problem solving - from framing and discovery through execution, post-launch

iteration, and automation.

● Coach PMs, raising the bar on problem framing, solution quality, and decision-making.

● Partner with business and engineering teams to balance near-term delivery with foundational

improvements required for scale.

What Success Requires

● 8–10+ years of product management experience, ideally in inside sales systems, lead

management, growth infrastructure, or similarly conversion-focused domains.

● Strong analytical instinct with a genuine point of view on lead scoring - knows what signals to

look at, separate predictive signals from noise, and validate a scoring model.

● Analytics-heavy PM background preferred - comfortable working with data directly, defining

instrumentation requirements, and reasoning from first principles about conversion mechanics.

● Hands-on experience with AI-driven product features - voicebots, recommendation systems,

automated intervention logic, or similar.

● Comfort building structure from scratch; brings structure to ambiguous environments.

● Strong product judgment with the ability to reason across conversion mechanics, workflow

constraints, and downstream data dependencies simultaneously.

● Ability to operate at multiple altitudes - hands-on problem solving as well as shaping priorities

across a product portfolio.

● Demonstrated capability to lead, coach, and hold a high bar for PMs and cross-functional teams.

● Excellent stakeholder management skills, including the ability to influence senior sales and

engineering leaders through clarity and credibility.

The Role

As Senior Product Manager - MaaS, you will own the product vision and execution for SolarSquare’s

Maintenance-as-a-Service business, a new vertical that extends SSE’s home-energy platform to non-SSE

customers. This is a hands-on, end-to-end ownership role in an early-stage, high-ambiguity context,

where the product charter is still being defined and the business model is still being proven.

You will work closely with the MaaS business lead, engineering, design, and field operations to shape

how the product works - from the customer acquisition and onboarding flow through service delivery,

scheduling, billing, and ongoing engagement. The role requires both sharp product thinking and genuine

comfort operating in an environment where the playbook doesn’t yet exist.

Scope & Ownership

● Own the MaaS product end-to-end - from customer discovery and onboarding through service

scheduling, delivery, billing, and renewal. This is a zero-to-one charter.

● Build the product capability that enables SSE to serve non-SSE solar customers reliably at scale -

including customer identity and plant onboarding, eligibility and plan selection, AMC service

scheduling and visit management, billing/ payment flows, and customer-facing communication.

● Own the integration between MaaS and the broader SSE platform - specifically how MaaS

customers are represented in internal SSE systems without creating bespoke systems that

fragment the platform.

● Drive product discovery through close engagement with MaaS customers, field service teams,

and business stakeholders.

● Define success metrics, track adoption and business outcomes, and iterate post-launch with a

bias toward closing what doesn’t work.

● Identify and address recurring inefficiencies, rework, and escalations across the MaaS customer

journey through better product and system design.

● Partner with engineering and design to balance near-term delivery with foundational work

required to scale the MaaS business reliably.

What Success Requires

● 4–6 years of product management experience, ideally in consumer-facing or service-delivery

contexts where the customer journey spans digital and physical touchpoints - home services,

mobility, logistics, healthcare, or similar.

● Proven track record of owning a product problem end-to-end - from discovery and definition

through execution, measurement, and iteration.

● Comfort operating in early-stage, low-structure environments - able to derive problem

understanding from direct observation, stakeholder conversations, and data rather than waiting

for documentation to exist.

● Strong analytical instinct - uses data to inform prioritisation and decisions, and can reason from

first principles about what metrics actually reflect product and business health.

● Field operator design instinct is a meaningful plus - the MaaS service delivery layer involves

ground teams and non-desk users. Candidates with experience designing for field-force or

service-delivery contexts are preferred.

● Understanding of subscription, renewal, and service-contract business models - how customers

make plan decisions, what drives retention, and how pricing and product interact.

● Ability to work across a cross-functional team including a business owner, engineering, design,

and operations - driving alignment and execution without positional authority.

● Clear, structured written communication - able to translate ambiguous business problems into

precise product requirements and make trade-offs legible to technical and non-technical

stakeholders alike

Job Description: Group Product Manager – IoT & Asset Intelligence

Location: Bengaluru Team: Product

Experience: 8–10 years

About SolarSquare

Solar 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 & 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 Role

As Group Product Manager - IoT & Asset Intelligence, you will own the product portfolio responsible for 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 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 SSE’s 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

don’t 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

● 8–10+ 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