Product Manager – Data, AI

• Define and own the Data & AI product roadmap tied to commercial outcomes such as GMV, margin, conversion, operating cost or fraud loss
• Lead pricing and valuation products for used electronics and cars, including instant quotes, price recommendations and dynamic pricing
• Identify, size and ship AI/ML use cases including search ranking, recommendations, fraud and risk scoring, image-based condition grading, LLM-powered listing creation and Arabic/English customer support automation
• Own the data platform as a product, collaborating with data engineering on pipelines, data models, the warehouse and event tracking
• Establish standards for data quality, lineage, documentation and access
• Write SQL, explore datasets, specify tracking schemas and data contracts, review data models and validate business alignment
• Translate business problems into ML and analytics problem statements, defining evaluation metrics, success criteria and guardrails
• Build business cases and make build-vs-buy decisions, including ROI and inference/infrastructure costs
• Drive adoption of data products across Commercial, Operations, Finance and leadership
• Support self-serve analytics, trusted KPI definitions and dashboards
• Monitor models and data products after launch for performance, drift, data quality and business impact
• Ensure responsible and compliant use of data and AI under Saudi Arabia's PDPL and SDAIA guidance
• Explain technical trade-offs to non-technical stakeholders and leadership and build alignment around priorities

• 2-4 years of product management experience, with significant time spent on data platforms, ML/AI products or data-intensive products
• Advanced SQL
• Data modelling (dimensional / star schema)
• ETL/ELT
• Event tracking
• Familiarity with modern data stacks such as BigQuery, Snowflake or Redshift, dbt, Airflow and Kafka
• Understanding of the ML lifecycle and modern GenAI, including problem framing, feature engineering, model evaluation, MLOps, RAG, prompt design and vendor APIs
• Strong commercial acumen and experience linking data or AI products to revenue, margin or cost outcomes
• Experience building convincing business cases
• Experience shipping AI/ML or data products into production with measurable impact
• Ability to drive products forward independently
• Excellent communication skills
• Fluent English
• Arabic is a plus, not required

• Remote, full-time work arrangement