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Salary
$29k – $61k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior
Employment
Full-Time
Overview
Company
Impact
Profile match
Weekday is an Indian recruitment company that sources software engineers through referrals from other engineers rather than through job advertisements or agency databases. Its model pays working engineers to vouch for former colleagues they rate, turning informal knowledge about who is genuinely good into a searchable candidate pool that companies can hire from. Based in Bengaluru and backed by Y Combinator, the platform has layered AI screening and outbound sourcing on top of that referral network, and sells to startups and technology companies hiring in the Indian market.

This role is for one of Weekday’s clients

Salary range: Rs 1800000 - Rs 3500000 (ie INR 18 - 35 LPA)

Min Experience: 5+ years

Location: Bengaluru, Mumbai, Maharashtra, India

JobType: full-time

We are seeking an experienced and analytical Senior Product Manager - Presales to lead product initiatives that improve the lead-to-sales conversion journey. This is a hands-on, outcome-driven role focused on building scalable systems and workflows that help convert qualified customer interest into scheduled and completed sales interactions.

The ideal candidate will have strong product management experience in conversion-focused domains such as lead management, inside sales systems, CRM platforms, growth infrastructure, or workflow automation. You will work closely with Business, Sales, Engineering, Data, and Product teams to identify bottlenecks, improve decision-making, and build technology solutions that enhance conversion efficiency and team productivity.

Requirements

Key Responsibilities

  • Own and drive product initiatives across presales and lead-conversion systems, including lead scoring, prioritization, workflow management, intervention orchestration, and funnel analytics.
  • Develop and enhance lead scoring capabilities by identifying meaningful conversion signals and translating data insights into actionable prioritization models.
  • Work closely with Data and Engineering teams to design real-time or near-real-time systems that support effective lead prioritization.
  • Define and improve intervention strategies to determine the appropriate timing, communication channel, and engagement approach for prospective customers.
  • Optimize workflows used by presales and lead management teams to improve productivity, reduce manual effort, and minimize operational inefficiencies.
  • Analyze existing CRM systems and workflows, identify gaps and limitations, and drive redesign or enhancement initiatives to support evolving business requirements.
  • Improve the end-to-end lead-to-visit journey by identifying recurring bottlenecks, rework, escalations, and conversion drop-offs.
  • Define product priorities based on business impact, conversion opportunities, operational efficiency, and scalability.
  • Lead the complete product lifecycle, including problem discovery, requirement definition, solution design, execution, launch, performance analysis, and continuous iteration.
  • Partner with Sales, Business, Engineering, and Data teams to balance immediate business needs with long-term platform improvements.
  • Define key product metrics, funnel metrics, and instrumentation requirements to measure product performance and conversion outcomes.
  • Drive automation opportunities across presales workflows to create scalable and efficient processes.
  • Support and mentor Product Managers by improving problem-solving approaches, product thinking, decision-making, and execution quality.
  • Influence senior stakeholders through clear communication, data-driven insights, and strong product judgment.

Required Qualifications and Experience

  • 5-10 years of experience in Product Management, preferably within presales systems, inside sales platforms, lead management, CRM, growth products, or conversion-focused environments.
  • Strong experience working with data and analytics to understand customer behavior, conversion funnels, and product performance.
  • Proven understanding of lead scoring and prioritization, including the ability to identify predictive signals and differentiate meaningful insights from noise.
  • Experience defining product requirements and working closely with Engineering and Data teams to build scalable solutions.
  • Strong understanding of CRM systems, workflow automation, and business process optimization.
  • Ability to independently structure ambiguous problem statements and translate them into clear product solutions.
  • Experience managing multiple interconnected product areas and balancing competing priorities.
  • Strong stakeholder management and communication skills.
  • Ability to influence cross-functional teams and senior business and technology leaders.
  • Demonstrated experience in end-to-end product ownership, from discovery through execution and post-launch optimization.

Preferred Qualifications

  • Experience building or managing AI-driven product features such as voicebots, recommendation engines, automated workflows, or intelligent intervention systems.
  • Experience with lead scoring and prioritization models.
  • Strong background in product analytics and conversion funnel optimization.
  • Experience working with inside sales, customer engagement, or high-volume lead management platforms.
  • Familiarity with automation and AI-powered decision-making systems.
  • Experience mentoring Product Managers or leading product initiatives across multiple teams.

Key Skills and Competencies

  • Product Management
  • AI Product Experience
  • Lead Scoring and Prioritization
  • CRM and Workflow Management
  • Product Analytics
  • Conversion Funnel Optimization
  • Data-Driven Decision Making
  • Workflow Automation
  • Stakeholder Management
  • Cross-Functional Collaboration
  • Problem Solving
  • Strategic Product Thinking

Must-Have Skills

  • AI Product Experience
  • Lead Scoring
  • CRM / Workflow Management

Good-to-Have Skills

  • Lead Scoring and Prioritization
  • AI-Driven Product Features
  • Strong Product Analytics
  • Inside Sales Systems
  • Workflow Automation
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