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E-commerce Trading Manager

Proso.ai

5 - 10 years

Noida

Posted: 12/02/2026

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Job Description

Job Title: E-commerce Trading Manager (Search & Merchandising) Contract

Role Type: Contractual

Experience: 610 Years (flexible based on expertise)

Location: [Location / Hybrid / Remote]

Contract Duration: [6 months / 12 months / Extendable]


Job Summary:

We are looking for an experienced E-commerce Trading Manager to manage and optimize product visibility, ranking, and merchandising strategies on our retail e-commerce platform. The ideal candidate will have hands-on experience working with e-commerce search rules, product ranking logic, and trading levers to drive conversion, revenue, and customer experience.


Key Responsibilities:

  • Own and manage product ranking and search merchandising rules across the e-commerce website.
  • Define and optimize search relevance strategies, including boosting, burying, pinning, and filtering of products.
  • Work closely with AI/Search, Product, and Category teams to align business priorities with search algorithms.
  • Manage on-site merchandising for campaigns, promotions, seasonal events, and new product launches.
  • Analyze search and browse performance metrics (CTR, conversion, revenue, zero-result searches).
  • Continuously optimize product assortment, availability, pricing, and content to improve discoverability.
  • Collaborate with Marketing and Supply Chain teams to ensure right products are surfaced at the right time.
  • Conduct A/B tests on ranking strategies and trading rules to maximize commercial outcomes.
  • Monitor competitor e-commerce platforms and recommend best practices.


Required Skills & Qualifications:

  • Proven experience working as an E-commerce Trading Manager / Digital Merchandiser / Search Merchandiser.
  • Strong understanding of e-commerce search ranking rules and merchandising logic.
  • Hands-on experience with search tools and platforms (e.g., Algolia, Elastic, Bloomreach, Adobe Commerce, Salesforce Commerce Cloud, or custom platforms).
  • Solid knowledge of retail KPIs: conversion rate, average order value (AOV), revenue, search exit rate.
  • Experience working with product catalogs, attributes, taxonomy, and tagging.
  • Strong analytical skills with ability to interpret data and make commercial decisions.
  • Excellent stakeholder management and communication skills.

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