Product Manager – Data, AI

This is a fully remote position, open to applicants in Saudi Arabia.

📋 Description

• Define and manage the Data & AI product roadmap associated with commercial results such as GMV, margin, conversion rates, operating costs, or fraud loss.

• Oversee pricing and valuation products for used electronics and vehicles, which includes instant quotes, price recommendations, and dynamic pricing strategies.

• Identify, assess, and implement AI/ML use cases, such as search ranking, recommendations, fraud and risk scoring, image-based condition grading, LLM-powered listing creation, and customer support automation in Arabic and English.

• Take ownership of the data platform as a product, working collaboratively with data engineering on pipelines, data models, the data warehouse, and event tracking.

• Set standards for data quality, lineage, documentation, and access.

• Write SQL, analyze datasets, define tracking schemas and data contracts, review data models, and ensure alignment with business objectives.

• Convert business challenges into ML and analytics problem statements, establishing evaluation metrics, success criteria, and guardrails.

• Create business cases and evaluate build-vs-buy options, incorporating ROI and inference/infrastructure costs.

• Promote the adoption of data products across Commercial, Operations, Finance, and leadership teams.

• Facilitate self-service analytics, reliable KPI definitions, and dashboard development.

• Monitor models and data products post-launch for performance, drift, data quality, and business impact.

• Ensure the responsible and compliant application of data and AI following Saudi Arabia's PDPL and SDAIA guidelines.

• Articulate technical trade-offs to non-technical stakeholders and leadership while fostering alignment on priorities.

⛳️ Requirements

• 2-4 years of experience in product management, with a substantial focus on data platforms, ML/AI products, or data-intensive products.

• Proficient in advanced SQL.

• Experienced in data modeling (dimensional / star schema).

• Knowledge of ETL/ELT processes.

• Familiar with event tracking methodologies.

• Acquainted with modern data stacks like BigQuery, Snowflake, Redshift, dbt, Airflow, and Kafka.

• Understanding of the ML lifecycle and contemporary GenAI, encompassing problem framing, feature engineering, model evaluation, MLOps, RAG, prompt design, and vendor APIs.

• Strong commercial insight and experience in connecting data or AI products to revenue, margin, or cost outcomes.

• Proven experience in developing persuasive business cases.

• Background in delivering AI/ML or data products into production with measurable results.

• Capability to drive products forward autonomously.

• Exceptional communication skills.

• Fluent in English.

• Proficiency in Arabic is advantageous but not mandatory.

🏝️ Benefits

• Remote, full-time work arrangement.