About Eyewa
Eyewa is MENA's leading omnichannel eyewear company, operating across the GCC with retail stores and a flagship eCommerce platform. We're scaling fast — and our internal operations, tooling, and decision-making systems need to scale with us.
The Role
We're hiring a PM to lead the AI Transformation Squad — the team turning AI into a measurable business lever at Eyewa. This is an execution role, not a strategy role.
You'll build AI-powered internal tools that eliminate manual work, reduce cost, and improve operational decisions across the business. You'll also be Eyewa's internal authority on how AI gets shipped — defining the governance standards and best practices that every product team follows when productionising AI features.
The mandate is broad. The team is lean. Hands-on ownership from day one.
Key Responsibilities
- Define and own the AI transformation roadmap across ops, CX, supply chain, and data intelligence — sequenced by ROI, not enthusiasm.
- Translate cross-functional business problems into precise AI product specs: datasets, model objectives, output format, evaluation criteria, integration points.
- Build, launch, and iterate on agentic workflows and intelligent automation that internal teams actually adopt and rely on.
- Own AI output quality in production — define what production-ready means, build eval frameworks, and monitor accuracy, hallucination rate, latency, and reliability.
- Be the requirements funnel: collect and prioritise AI requests from across the business, push back on low-ROI use cases, and protect ML engineering time.
- Define success metrics for every initiative before building: cost saved, time recovered, resolution rate, error reduction, NPS uplift.
- Own Eyewa's AI governance framework — output quality standards, evaluation criteria, monitoring requirements, explainability expectations, and production-readiness protocols.
- Evangelise AI best practices across product teams: run enablement sessions, build playbooks, and act as the go-to partner when any squad is productionising an AI feature — helping them ship right, not auditing after the fact.
What We're Looking For
- 3+ years in product management, with 1–2 years owning AI/ML products in production. You've shipped something real at scale — not a demo, not 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. You can point to the before/after and put a number on it.
- Technically credible: you hold your own in ML engineer discussions — prompt engineering, RAG, agentic frameworks, eval sets, model trade-offs. You don't need a translator.
- Business-problem-first: you start with the workflow, not the model. You push back on AI for AI's sake and can tell when a spreadsheet would do the job better.
- Owns quality end-to-end: reliability, accuracy, and explainability are part of your definition of done. You've built eval frameworks and iterated based on production failure analysis.
- Has shipped AI governance: you've defined standards, written playbooks, or run enablement that actually changed how a team builds AI — not just documented best practices nobody read.
Nice to Have
- Hands-on with agentic frameworks (LangChain, CrewAI, or similar) or LLM eval pipelines.
- eCommerce, retail, or omnichannel ops experience.
- Familiarity with MENA market dynamics.
