WHAT WE'RE LOOKING FOR

• 3+ years in product management, with 1-2 years owning AI or ML-powered products in a production environment. You've shipped something real that ran at scale, not a demo or a pilot that quietly died
• Proven operational impact: you've built AI tools that replaced a manual process, reduced a real cost, or changed how a team works, and you can quantify the before/after
• Technically credible with ML engineers: you understand prompt engineering, RAG architectures, agentic frameworks, and model trade-offs well enough to have opinionated conversations
• Business-problem-first thinker: you start with the workflow, not the technology, and can tell when a use case doesn't justify AI
• Cross-functional operator: you've gathered requirements from 5+ teams and prioritised a backlog across competing interests
• Owns quality in production: reliability, accuracy, and user trust are part of your definition of done. You've built eval frameworks and iterated based on failure analysis
• Clear communicator: you can explain a model's output to a non-technical ops manager and a business requirement to an ML engineer, in the same day
• Has a point of view on AI governance: you've defined standards, written playbooks, or run enablement sessions that actually changed how a team builds AI

NICE TO HAVE

• Experience building and deploying agentic workflows (LangChain, CrewAI, custom orchestration, or similar)
• Hands-on experience with LLM evaluation frameworks, RAG, or fine-tuning pipelines
• Prior experience in eCommerce, retail, or omnichannel operations
• Familiarity with MENA market dynamics and the operational realities of scaling in the region
• Experience building decision support tools or dashboards that replaced manual reporting workflows

WHAT YOU WON'T FIND HERE This role isn't for someone who wants to write AI strategy decks and attend conferences. It's for someone who wants to build things that make a measurable operational difference, in a fast-moving, resource-constrained environment where you'll often be figuring things out as you go. If you need a large team, heavy process, and long planning cycles to do your best work, this is the wrong role.