Soum is a MENA-region recommerce company building a marketplace for buying and selling pre-owned goods. Launched in July 2021, the company focuses on making recommerce more convenient, trustworthy, and transparent for buyers and sellers across the region and beyond.
Data and AI Product Manager
Lead data and AI products for Soum’s used electronics and car marketplace, spanning pricing, fraud, inspection, and discovery. Own data platforms, AI and machine learning delivery, and measurable commercial outcomes.
Description
- Set the Data and AI roadmap around commercial results, including GMV, margin, conversion, operating costs, and fraud losses.
- Lead pricing and valuation products for used electronics and cars, from instant quotes to price recommendations and dynamic pricing.
- Select, scope, and launch AI and machine learning applications such as search ranking, recommendations, fraud and risk scoring, image-based condition grading, AI-assisted listings, and Arabic and English support automation.
- Manage the data platform as a product, partnering with data engineering on pipelines, models, the warehouse, and event tracking.
- Set expectations for data quality, lineage, documentation, and access.
- Use SQL to explore data, define tracking schemas and data contracts, review models, and check that they meet business needs.
- Turn business challenges into machine learning and analytics briefs with clear evaluation measures, success criteria, and safeguards.
- Develop business cases and assess whether to build or buy, accounting for return on investment and inference and infrastructure costs.
- Increase adoption of data products across Commercial, Operations, Finance, and leadership.
- Enable self-service analytics with dependable KPI definitions and dashboards.
- Track launched models and data products for performance, drift, data quality, and business results.
- Promote responsible, compliant data and AI practices aligned with Saudi Arabia’s PDPL and SDAIA guidance.
- Explain technical trade-offs to nontechnical teams and leaders, and align stakeholders on priorities.
Requirements
- 2–4 years of product management experience, including substantial work on data platforms, machine learning or AI products, or data-intensive products.
- Advanced SQL skills.
- Experience with data modeling, including dimensional and star schemas.
- Knowledge of ETL and ELT.
- Experience with event tracking.
- Familiarity with modern data stacks such as BigQuery, Snowflake, or Redshift, dbt, Airflow, and Kafka.
- Understanding of machine learning and modern generative AI workflows, including problem framing, feature engineering, model evaluation, MLOps, RAG, prompt design, and vendor APIs.
- Strong commercial judgment and experience connecting data or AI products to revenue, margin, or cost outcomes.
- Experience developing persuasive business cases.
- Experience launching data or AI and machine learning products into production with measurable results.
- Ability to move products forward independently.
- Excellent communication skills.
- Fluent English.
- Arabic is a plus but is not required.
Benefits
- Remote, full-time position.