AI job / source-linked
Product Manager - AI Transformation
eyewaRole Overview
Job Description
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.