Senior Product Manager - Catalog

About Salla

Catalog Product Area

Areas of Impact

• Build a reusable catalog engine and category setup through configuration rather than code.
• Improve product data input, including creation, bulk import, editing, and user entry workflows.
• Own structure and meaning through taxonomies, attributes, variants, identifiers, normalization, and duplicate handling.
• Apply AI enrichment to extract and generate product data with clear confidence, review, and correction policies.
• Improve downstream catalog fitness across search, storefronts, recommendations, and external channel feeds.

Core Responsibilities

• Own catalog strategy, quarterly sequencing, stakeholder alignment, and accountability for promised outcomes.
• Own the roadmap for creating and improving product data, prioritizing downstream usefulness over field counts.
• Design fast and effective workflows for the people who create and manage merchant data.
• Make new categories and configuration changes repeatable and efficient.
• Define which AI outputs are automatic, require approval, or must not be changed, and use corrections to improve the system.
• Define and measure catalog quality based on consuming surfaces.
• Own product data performance and requirements across external selling channels.
• Set the balance between imposed structure and merchant flexibility.
• Lead two to three product managers through ownership, coaching, cadence, and quality standards.
• Work with search and discovery, storefronts, vendors, marketplace, and data teams.

Requirements

• Six or more years of product management experience, including a self-serve platform where users created content or data.
• Ownership of a measurable data outcome such as completeness, accuracy, publication time, tool adoption, or downstream performance.
• Evidence of improving what users produce during creation rather than only cleaning data afterward.
• Experience building configurable platforms that serve multiple use cases and understanding the trade-offs involved.
• Production AI experience with structured data, including confidence thresholds, error rates, automation decisions, and large-scale error handling.
• Understanding of taxonomies, attribute schemas, variants, identifiers, matching, deduplication, and external channel requirements.
• Experience coaching product managers and readiness to lead a small team while staying close to product craft.
• Full professional fluency in Arabic and English is required.
• Merchant context in the region is preferred.
• Willingness to relocate to Saudi Arabia and work on-site.