Senior AI Product Manager

LeadSquared

LeadSquared

Software Engineering, Product, Data Science

Bengaluru, Karnataka, India

Posted on May 28, 2026

About the Role

LeadSquared is looking for a Senior AI Product Manager to drive the vision, strategy, and execution of AI-powered capabilities across our CRM and marketing automation platform. You will work at the intersection of business, design, and engineering — translating complex AI/ML capabilities into products that customers love.

This is a high-ownership role with direct impact on product strategy, requiring you to partner closely with engineering, data science, design, and go-to-market teams to take features from 0→1 and beyond.

What You'll Own

  • Define and own the AI product roadmap in alignment with LeadSquared's core platform — spanning lead scoring, AI-assisted outreach, conversation intelligence, and workflow automation.
  • Partner with engineering, design, data science, and GTM teams to take features from concept to launch and iterate post-launch.
  • Conduct customer discovery, competitive analysis, and usage analytics to prioritize the highest-impact bets.
  • Write clear, detailed PRDs and acceptance criteria; lead sprint planning and backlog grooming with engineering teams.
  • Define success metrics, set up tracking, and own data-driven iteration after launch.
  • Represent the voice of the customer internally and evangelize the AI roadmap across teams and leadership.

Must Have

  • 4–6 years of end-to-end product management experience in B2B or B2C products
  • Proven track record of building and shipping AI or ML-powered products or features
  • Technical background — CS/engineering degree or equivalent hands-on experience
  • Comfort with APIs, data pipelines, model evaluation, and prompt engineering concepts
  • Strong PRD writing, roadmapping, and stakeholder management skills

Nice to Have

  • Experience with LLMs, RAG pipelines, or AI agent frameworks
  • Prior work in CRM, SaaS, or sales-tech domain
  • Familiarity with A/B testing and experimentation frameworks
  • Exposure to working with data science or ML engineering teams
  • Experience with SQL or basic scripting for data analysis