Performance Marketing Manager (AI-native)
Manara[object Object]Posted 24 March 2026
Tech Stack
Job Description
About the Role
We are a US-based upskilling and training company serving MENA, partnering with global tech leaders like AWS, Google, and Salesforce to deliver large-scale learning programs to software engineers, teachers, and tech professionals across Egypt, KSA, UAE, and the broader MENA region.
We’re looking for a Performance Marketing Manager who lives at the intersection of paid media and AI-powered execution. You won’t just manage ad campaigns , you’ll build an AI-augmented acquisition and activation engine that scales across 6 ad platforms, 3 programs, and multiple MENA markets simultaneously.
This role also owns activation and retention (email/WhatsApp nurture) , you’re responsible for turning signups into active learners who complete learning paths, not just driving top-of-funnel volume.
Key Responsibilities
Paid Acquisition (6 Platforms × 3 Markets)
• Own end-to-end paid media strategy and execution across Meta, Google, YouTube, TikTok, Snapchat, and X (Twitter) for Egypt, KSA, and UAE
• Manage and optimize ad spend across programs (AWS, Google AI for Teachers, Salesforce KSA)
• Build per-country, per-program campaign structures with localized targeting for Arabic and English audiences
• Run continuous A/B tests on creative, copy, audiences, and placements , using AI to generate 50+ ad variants per campaign
• Set up and manage conversion tracking, attribution, and pixel infrastructure across all platforms
• Optimize for downstream metrics (activation, LP completion) not just signups , work with CRM data to feed signals back to ad platforms
Activation & Retention Ownership
• Own the signup-to-active-user conversion funnel: email nurture sequences, WhatsApp broadcast campaigns, and onboarding flows
• Design and execute automated lifecycle journeys for each program (AWS cloud skills, Google teacher training, Salesforce adaptation)
• Segment users by behavior, engagement level, and program stage to deliver hyper-personalized nudges
• Monitor activation rates, identify drop-off points, and run experiments to improve signup → LP start → LP completion rates
• Collaborate with the Copywriter on email/WhatsApp copy and with the Coordinator on CRM data hygiene
CRO & Landing Page Optimization
• Own landing page performance , work with the Copywriter and Designers to test headlines, layouts, CTAs, and social proof
• Run multivariate tests on registration flows to maximize signup conversion rates
• Ensure consistent tracking and analytics across all landing pages and signup funnels
Budget Management & Reporting
• Allocate and rebalance budget across platforms, programs, and markets based on performance data
• Build and maintain real-time dashboards tracking CAU (cost per acquired user), activation rates, and cost per LP completion
• Deliver weekly performance reports with clear recommendations and next actions
• Document all experiments: hypothesis, setup, results, and learnings in the team’s AI-powered knowledge base
AI-Specific Responsibilities
This is an AI-Adapted role. You will be expected to:
• Use AI tools (Claude, ChatGPT, Jasper, or similar) to generate ad copy variants at scale , 50+ per campaign in both English and Arabic
• Build and maintain AI-powered automation workflows for campaign optimization, bid management, and audience testing
• Design AI-assisted experiment pipelines: hypothesis generation, creative production, result analysis, and documentation , all partially automated
• Leverage AI for audience research, competitor analysis, and trend identification across MENA markets
• Use AI to auto-generate email/WhatsApp nurture sequences and personalize messaging based on user behavior data
• Continuously evaluate and adopt new AI marketing tools to increase team efficiency and output
Requirements
Must-Have
• 3–5 years of hands-on experience managing paid digital campaigns across Meta Ads, Google Ads, and at least 2 of: TikTok, Snapchat, YouTube, X
• Proven track record of managi ... (truncated, view full listing at source)
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