Product Manager, Search & Recommendation
3d ago

You will :

  • Owning part of User Journey (Search & Recommendations) and KPIs associated with it.
  • Developing and maintaining "Search & Recommendations" long-term vision and strategy to achieve it.
  • Combining usage data, market and user research, and industry best practises to understand the domain deeply and identify user problems and breakthrough opportunities.
  • Transforming user problems into validated solutions leveraging all possible consumer touch points, such as our Mobile apps and Website, Email and Push Notifications, Customer Experience and Marketplace Operations, and other possible means.
  • Ruthlessly prioritizing, driving stakeholder alignment, proactively managing risks & dependencies and planning for rapid & intentional experimentation.
  • Leading the delivery of validated solutions while working with the multi-disciplinary "Search & Recommendations scrum team" and other important partners & stakeholders in the company.
  • Measuring the results of changes introduced, deciding and communicating on success or failure, identifying key learnings and integrating them in overall user, product & feature understanding.
  • You have :

  • Bachelor in Technology or a related applied quantitative field.
  • 2+ years Product Management experience in software technology sector.
  • Analytical skills to understand & generate insights from "user logs".
  • Strong prioritisation and execution skills, taking complete ownership.
  • Effective communication & collaboration skills.
  • Passion for the industry of consumer internet products.
  • Familiarity with Agile development process and Rapid product development techniques, such as Design sprints, Story mapping and others
  • Good to have :

  • Experience in managing AI / ML powered feature development.
  • Experience working on large-scale distributed systems (on-prem or cloud).
  • Experience working on Data Visualization tools like Looker, Tableau.
  • Experience working in e-commerce industry.
  • Experience working on : information retrieval / recommender systems
  • Apply
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