Sr. Product Manager - Website Builder, Analytics & Tracking Events

New
IndiaFull-TimeSenior
Salary not disclosed
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Job Details

Experience
5–6 years
Required Skills
Data AnalysisProduct ManagementSaaS

Requirements

  • 5–6 years of product management experience in SaaS, website builders, marketing technology, analytics platforms, or similar domains.
  • Strong understanding of website creation tools, funnel builders, conversion optimization, and digital marketing workflows.
  • Experience working with user behavior tracking systems such as event instrumentation, analytics, or telemetry platforms.
  • Exposure to or experience building AI/LLM-powered products, with understanding of evaluation and monitoring frameworks.
  • Strong UX sensibility with the ability to collaborate closely with design teams on user-centric experiences.
  • Experience working with engineering teams on complex frontend and backend product development.
  • Strong analytical mindset with the ability to translate data insights into product decisions.
  • Excellent communication, stakeholder management, and problem-solving skills with strong ownership mindset.
  • Familiarity with modern data pipelines, experimentation frameworks, or behavioral analytics is a plus.

Responsibilities

  • Define and own the long-term product strategy and roadmap for website builder, funnel builder, tracking events, and analytics capabilities.
  • Lead end-to-end product lifecycle including discovery, user research, requirements definition, prioritization, execution, and iteration.
  • Design and evolve event taxonomy and tracking systems to capture user interactions such as clicks, scrolls, forms, media engagement, and conversions.
  • Build and enhance analytics dashboards and insights that help users understand traffic, behavior, and conversion performance.
  • Collaborate with engineering, design, data, and GTM teams to deliver scalable, high-quality product features.
  • Improve core product capabilities including speed, templates, responsiveness, media management, and AI-assisted workflows.
  • Define and monitor key product metrics such as activation, adoption, engagement, and conversion performance, using data to guide decisions.
  • Drive innovation in AI-powered features, including recommendations, automation, and intelligent design assistance.
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