Senior Product Manager - Presales

Compensation and Employment

• The salary range is INR 18,00,000–35,00,000 per year.
• The position is full-time.
• The minimum stated experience is 5 years.

Role Overview

Responsibilities

• Own presales and lead-conversion systems covering lead scoring, prioritization, workflow management, intervention orchestration, and funnel analytics.
• Build conversion-focused prioritization models and real-time or near-real-time lead systems.
• Optimize CRM and presales workflows to improve productivity and reduce operational inefficiencies.
• Improve the lead-to-visit journey and define priorities based on conversion, efficiency, and scalability.
• Lead product discovery, requirements, solution design, execution, launch, performance analysis, and iteration.
• Define product and funnel metrics, drive workflow automation, mentor Product Managers, and influence senior stakeholders.

Required Qualifications

• Applicants should have 5–10 years of product management experience in presales, inside sales, lead management, CRM, growth, or conversion-focused environments.
• Candidates need strong data and analytics experience covering customer behavior, conversion funnels, and product performance.
• The role requires lead scoring and prioritization knowledge, product requirements experience, and scalable solution delivery with Engineering and Data teams.
• Strong understanding of CRM, workflow automation, business process optimization, stakeholder management, and cross-functional influence is required.
• Candidates should demonstrate end-to-end product ownership from discovery through post-launch optimization.

Preferred Qualifications

• Experience with AI-driven product features such as voicebots, recommendation engines, automated workflows, or intelligent intervention systems is preferred.
• Product analytics, conversion funnel optimization, inside sales platforms, and AI-powered decision-making experience are advantageous.
• Experience mentoring Product Managers or leading initiatives across multiple teams is preferred.

Key Skills

• Key skills include product management, AI product experience, lead scoring, CRM and workflow management, product analytics, and conversion funnel optimization.
• Additional competencies include data-driven decision-making, stakeholder management, cross-functional collaboration, problem solving, and strategic product thinking.