Product Manager - Storefront

Salla; Jeddah; On-site; SAR 240,000 - 360,000; Full time

Job summary

Salla is seeking a Product Manager to own search, discovery, product pages, and reviews, shaping how buyers find and trust what they read and buy across multiple stores. You’ll collaborate with data/AI teams to turn models into buyer-centric decisions and merchant value.

You will lead continuous discovery, define metrics, and ship features with careful experimentation and staged rollouts, ensuring measurable improvements in conversion and merchant sales. Fluency in Arabic and English is required.

Qualifications

• 4–6 years of experience in Product Management, preferably owning Search, Discovery, Product Pages, Conversion, or other customer-facing product experiences.
• Proven experience driving product metrics and business outcomes with measurable impact.
• 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 ownership responsibilities.
• Hands-on experience conducting User Research and Product Experiments, using insights to influence product decisions.
• Strong understanding of Arabic Search and Discovery, including dialects and mixed Arabic-English queries.
• Demonstrated ownership of product outcomes, with ability to work independently 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 from 0-to-1 as founder or early-stage team member.

Responsibilities

• Know Salla's buyers: understand shopping behavior across diverse stores and capture their voice in decisions.
• Own search, product page, and reviews end-to-end from discovery to iteration, aligned with conversion and sales.
• Partner with data and AI teams on ranking, query understanding, and semantic search; decide what ships and how to measure it.
• Design the product page around buyer decisions: what they need to see, trust, and confirm before buying.
• Build reviews that buyers trust and merchants can use, including stores with few or no reviews.
• Experiment by default and ship safely across thousands of stores with staged rollouts and guardrails.
• Run continuous discovery: talk to buyers and merchants, observe sessions, test ideas with prototypes before engineering time.
• Make data-driven decisions: define key metrics, read funnels, and let evidence settle debates.

Skills

Product Management

Search & Discovery

Product Pages

Conversion optimization

Data analysis

AI tools

User Research

Arabic-English bilingual

Independent ownership

Experimentation

Tools

AI platforms

Job description

At Salla, we are building the digital backbone of commerce in the region, empowering thousands of merchants to start, grow, and scale their businesses. We turn what's complex into something simple, powerful, and scalable.

Every Salla store runs on one storefront. When a buyer searches, opens a product, or reads a review, they decide whether to trust a store they may have never heard of. Every change you ship reaches thousands of stores at once.

We are looking for a Product Manager who builds with curiosity, clarity, and care. You own search, the product page, and reviews: how buyers find what they want, decide, and trust what they read. You work side by side with our data and AI teams and turn their models into decisions buyers feel and merchants see in their sales.

Core Responsibilities:

• 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 you 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: staged rollouts, experiments, guardrails, and a way back.
• Run continuous discovery: talk to buyers and merchants regularly, watch real sessions, and test ideas with prototypes before committing engineering time.
• Make decisions with data: define the metrics that matter for each surface, read the funnel yourself, and let evidence, not opinion, settle debates.

• 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.