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Senior Product Manager - Search

Snoonu · Doha

Senior 🇬🇧 English
Enterprise search platform Relevance tuning Indexing strategies Personalization features Information retrieval Ranking NLP Synonyms Faceted search Search analytics Agile Scrum

Job description

About the role

Snoonu is seeking a strategic Senior Product Manager to own the Search service across its super‑app platform. The role is responsible for the end‑to‑end vision, strategy and roadmap of a shared, cross‑vertical search infrastructure that powers discovery in food, groceries, retail and other categories.

Key responsibilities

  • Define and execute the product vision and roadmap for the shared search service used across all verticals.
  • Improve relevance and discovery by tuning ranking logic, query understanding and search pipelines.
  • Coordinate with vertical product teams, engineering, data and design to ensure unified search experiences.
  • Design and run A/B experiments on ranking, UI and query handling to drive evidence‑based improvements.
  • Own key search metrics such as zero‑result rate, CTR, search‑to‑order conversion and query abandonment.
  • Manage index architecture, faceting, personalization and API integrations, working closely with engineering on real‑time catalog sync.
  • Translate commercial and operations needs into search logic for merchandising, promotions and vendor boosting.
  • Communicate performance and strategy to senior leadership and vertical teams.
  • Mentor other product managers and promote best practices for experimentation and data‑driven iteration.

Required profile

  • 5+ years of product management experience, with a focus on search, discovery or catalog products.
  • Proven ability to manage a shared platform serving multiple teams with competing priorities.
  • Strong stakeholder management and clear prioritisation frameworks.
  • Experience working in Agile/Scrum environments.

Required skills

  • Enterprise search platform configuration and management.
  • Relevance tuning, indexing strategies and personalization features.
  • Information retrieval concepts: ranking, NLP, tokenisation, synonyms, faceted search, merchandising rules.
  • Search analytics, A/B testing and metric‑driven decision making.
  • Agile methodologies and Scrum practices.

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Published 1 month ago

Expires 3 weeks from now

29 views · 0 interested

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Snoonu

Doha