Product Manager

Overview

Experience

• in digital-first consumer industries is key.
• What you ll be responsible for:
• Support product strategy development & execution:
• Collaborate with the Head of Product to shape and execute the product roadmap, ensuring alignment with commercial goals, customer experience targets, and regional priorities
• Define & monitor success metrics:
• Work with cross-functional teams to define KPIs and success metrics for product features; ensure robust instrumentation and data pipelines are in place before launch
• Own product performance tracking:
• Track performance of digital products launched and features across the funnel (e.g., acquisition, engagement, retention), synthesize learnings, and provide actionable recommendations for iteration
• Conduct market & customer research:
• Lead benchmarking, customer feedback loops, and market analyses to inform prioritization, identify unmet needs, and uncover opportunities for innovation, especially in the field of AI
• Drive feature enhancement & CX optimization:
• Recommend enhancements across digital journeys, self-care tools, and core features anchored in business value, customer feedback, and usage insights
• Enable data-led decision-making:
• Leverage tools like SQL, Excel, and dashboards to analyze behavioral and performance data; clearly communicate insights to influence product and commercial decisions
• Support cross-functional delivery:
• Partner with design, engineering, marketing, and commercial teams to ensure timely delivery of features with strong go-to-market readiness and customer value alignment
• What we re looking for:
• 6-8 years of experience in product management, growth analytics, or AI/ML product roles within digital-first, consumer-facing (B2C) businesses, e.g., telco, fintech, e-commerce.
• Deep familiarity with product and / or consumer telco metrics, e.g., ARPU, churn, MAU/DAU, feature adoption
• Proficiency in SQL and Excel; bonus points for Python / R experience, or familiarity with analytics platforms
• Demonstrated ability to translate complex data into clear product recommendations and business cases for prioritization
• Strong communication and stakeholder management skills, with proven ability to influence across data, engineering, and commercial teams
• Experience in agile, test-and-learn environments; comfort with ambiguity and rapid iteration
• Prior exposure to the MENA region and/or subscription-based, telecom, or digital services is highly desirable
• Hands-on experience integrating machine learning or AI-powered features into products, such as personalization engines, predictive analytics, or conversational interfaces, strongly preferred