Product Manager – Digital Brand (MENA)

About the role

We are looking for an analytical, insight‑driven Product Manager to own the end‑to‑end delivery, performance tracking and continuous improvement of our digital products for a new digital brand in the MENA region. You will work closely with the Head of Product to turn business goals and customer needs into data‑driven product strategies and road‑maps.

Key responsibilities

• Collaborate with the Head of Product to shape and execute the product roadmap, aligning with commercial goals and regional priorities.
• Define and monitor success metrics, ensuring robust instrumentation and data pipelines are in place before launch.
• Track product performance across acquisition, engagement and retention funnels, synthesize learnings and recommend iterative improvements.
• Lead market and customer research, benchmarking and feedback loops to uncover unmet needs and innovation opportunities.
• Recommend AI‑driven feature enhancements and CX optimisation across digital journeys and self‑care tools.
• Leverage SQL, Excel and dashboards to analyse behavioural data and influence product and commercial decisions.
• Partner with design, engineering, marketing and commercial teams to ensure timely delivery and strong go‑to‑market readiness.

Required profile

• 6‑8 years of experience in product management, growth analytics or AI/ML product roles within digital‑first B2C businesses.
• Deep familiarity with telco metrics such as ARPU, churn, MAU/DAU and feature adoption.
• Proficiency in SQL and Excel; bonus points for Python, R or analytics platform experience.
• Proven ability to translate complex data into clear product recommendations and business cases.
• Strong communication and stakeholder‑management skills across data, engineering and commercial teams.
• Experience working in agile, test‑and‑learn environments and comfort with ambiguity.
• Prior exposure to the MENA region or subscription‑based telecom/digital services is highly desirable.
• Hands‑on experience integrating machine‑learning or AI‑powered features (e.g., personalization engines) is strongly preferred.

Required skills

• SQL
• Excel
• Python
• R
• Analytics platforms / dashboards
• Machine‑learning integration for product features