Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Salla E-Commerce Platform

Product Manager – Storefront

Salla E-Commerce Platform

. Know Salla's buyers: how they shop across very different stores, and what makes them hesitate, compare, or leave; bring their voice into every decision, along with the merchants whose sales depend on it .

Posted 10/9/2026full-timeJeddah • Saudi ArabiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Product Management with a focus on Search, Discovery, and Conversion in e-commerce, leveraging AI tools for data analysis and user research. Fluent in Arabic and English, capable of driving product outcomes through effective decision-making and experimentation.

Highest-signal resume keywords
Product ManagementSearch OptimizationUser ResearchAI Tools ExperienceFluent in Arabic and English

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Product Metrics AnalysisE-commerce Product DevelopmentData AnalysisPrototypingProduct Experimentation
Soft Skills
InitiativeSimplificationIndependent Work
Industry Keywords
Consumer BehaviorArabic SearchSearch RankingRecommendation SystemsProduct Ownership

About the role

Key responsibilities & impact
  • Know Salla's buyers: how they shop across very different stores, and what makes them hesitate, compare, or leave; bring their voice into every decision, along with the merchants whose sales depend on it
  • Own search, the product page, and reviews end to end, from discovery to iteration, tied to buyer conversion and merchant sales
  • Partner with data and AI teams on ranking, query understanding, and semantic search; decide what ships, to which stores, and how to measure it
  • Design the product page around the buyer's decision: what they need to see, trust, and confirm before they buy
  • Build reviews that buyers trust and merchants can use, including for stores with few or no reviews
  • Experiment by default and ship safely across thousands of stores through staged rollouts, experiments, guardrails, and rollback plans
  • Run continuous discovery by talking to buyers and merchants, watching real sessions, and testing ideas with prototypes before committing engineering time
  • Define and analyze metrics for each surface, read the funnel, and use evidence to resolve debates

Requirements

What you’ll need
  • 4–6 years of experience in Product Management, preferably owning Search, Discovery, Product Pages, Conversion, or other customer-facing product experiences within a live consumer or e-commerce product
  • Proven experience driving product metrics and business outcomes, with the ability to explain what changed, why it changed, and how the impact was measured
  • AI-native mindset with hands-on experience using AI tools for data analysis, prototyping, research and interpreting product results
  • Experience working closely with Data Science and Machine Learning teams on Search, Ranking, or Recommendation with a clear understanding of product ownership and decision-making responsibilities
  • Hands-on experience conducting User Research and Product Experiments, using insights to influence product decisions
  • Strong understanding of Arabic Search and Discovery, including Arabic spelling variations, dialects, transliteration, Arabic-English mixed queries, and search behavior
  • Demonstrated ownership of product outcomes, with the ability to work independently, take initiative, and move quickly in a fast-paced environment
  • You simplify: you cut before you add
  • Fluent in Arabic and English, both written and spoken
  • Preferred: Experience building a product, feature, or business from 0-to-1, either as a founder, early-stage team member, or founding product team member