AI Product Manager (Technical)

OverviewJob Title: AI Product Manager (Technical) – Native Arabic SpeakerWe 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.ResponsibilitiesDefine 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 POCsto 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.QualificationsBachelor’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 QualificationsHands-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.#J-18808-Ljbffr