AI Product Manager (Technical)

Job Title: AI Product Manager (Technical) - Native Arabic Speaker

About the Role

We are seeking an experienced  AI Product Manager  with a solid technical foundation to lead AI product strategy, execution, and rapid prototyping. In this role, you will work across product, engineering, and business teams to define vision, deliver impactful AI-driven solutions, and quickly craft Proof of Concepts (POCs) to validate ideas.

This position requires a  native Arabic speaker  who can navigate both technical and business discussions fluently, manage diverse tasks, and adapt to high-paced, high-impact environments.

Key Responsibilities

• Define and own the vision, strategy, and roadmap for AI-driven products and features.
• Collaborate with engineers, data scientists, and designers to deliver scalable AI solutions.
• Rapidly build and iterate  quick POCs  to validate ideas before full-scale development.
• Translate business requirements into technical specifications and product plans.
• Manage product lifecycle — from ideation to launch and post-launch optimization.
• Work closely with stakeholders to align AI initiatives with business objectives.
• Ensure compliance with ethical AI guidelines, transparency, and data privacy standards.
• Act as the bridge between Arabic-speaking clients and technical teams for clarity and precision.
  

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
• Native Arabic speaker  with excellent English proficiency.
• 3+ years in product management, preferably in AI, ML, or data-driven products.
• Strong understanding of AI/ML workflows, model evaluation, and deployment.
• Proven ability to deliver  quick technical prototypes  (e.g., using Python, APIs, cloud AI services).
• Strong analytical, problem-solving, and communication skills.
• Experience working in fast-paced, agile environments.
  

Preferred Qualifications

• Hands-on experience with  LLMs, generative AI, computer vision, or speech-to-text solutions .
• Familiarity with tools such as  OpenAI, Groq, Hugging Face, Azure Cognitive Services, or MLFlow .
• Preferred : Ability to leverage AI tools to rapidly build working prototypes.
• Background in UX for AI or human-in-the-loop systems.
• Experience in B2B and B2C AI product delivery.
• Prior startup or high-growth company experience.