Senior Product Manager, Amazon Business India

Amazon Amazon · Big Tech · IN, KA, Bengaluru · Project/Program/Product Management--Non-Tech

Senior Product Manager for Amazon Business India, focusing on new customer acquisition and traffic. The role involves defining product strategy and roadmap, leveraging ML and Generative AI for targeting, personalization, and conversational experiences. It also includes building verification systems and a cross-store shopping experience, requiring close collaboration with engineering, science, and marketing teams.

What you'd actually do

  1. Define and own the product vision, strategy, and roadmap for new customer acquisition and traffic for Amazon Business India
  2. Build ML/Gen AI-powered targeting and personalization capabilities to identify high-propensity business buyers and tailor acquisition messaging at scale
  3. Design and ship an agentic AI-led conversational registration experience that reduces friction and improves conversion
  4. Build Amazon Business upsell visibility and workflows on the consumer shopping site to drive awareness and conversion
  5. Develop verification systems to block abusive registrations while maintaining a frictionless experience for legitimate businesses

Skills

Required

  • 5+ years of product or program management, product marketing, business development or technology experience
  • Bachelor's degree or equivalent
  • Experience owning/driving roadmap strategy and definition
  • Experience with end to end product delivery
  • Experience with feature delivery and tradeoffs of a product
  • Experience as a product manager or owner
  • Experience owning technology products

Nice to have

  • Experience in influencing senior leadership through data driven insights
  • Experience working across functional teams and senior stakeholders

What the JD emphasized

  • agentic AI-led conversational experiences
  • ML/Gen AI-powered targeting and personalization capabilities
  • verification systems to block abusive registrations

Other signals

  • ML and Generative AI capabilities
  • agentic AI-led conversational experiences
  • ML model outputs for targeting precision
  • personalization models