Group Product Manager - Presales

Department Icon Data Science Analytics & Machine Learning
Posted: 4 months ago
8-10 years
Bengaluru / Bangalore, Karnataka
Data Science Analytics & Machine Learning
work from office
Full Time

Posted: 4 months ago
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Job Description

  • : Group Product Manager - Presales
  • Location: Bengaluru
  • Experience: 8–10 years
  • About Solar Square

Solar Square 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 a Group Product Manager – Presales, you will own the product systems that sit at the heart of
  • Solar Squares lead-to-sales visit conversion engine. This is a senior, hands-on role with direct
  • accountability for outcomes across one of the companys 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
  • prioritization, intervention orchestration, LRM workflow tooling, and funnel conversion metrics.
  • ● Build and own Solar Squares 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 prioritization 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.

Skills

AnalyticsAi

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