Product Manager

Imploy; Riyadh; In loco; SAR 350.000 - 600.000; Tempo pieno

Descrizione del lavoro

Imploy is seeking a Product Manager to lead vision, strategy, and roadmap for AI-powered digital learning experiences in Riyadh. You will translate learner needs and business requirements into innovative solutions, coordinating with Engineering, AI/ML, Data Science, and Marketing teams.

You will drive adaptive learning, intelligent tutoring, personalized paths, content generation, and automated grading, while ensuring responsible AI and data protection across the platform.

Competenze

• 8+ years of experience in Product Management with leadership experience.
• Experience building, developing, and scaling digital products.
• Strong understanding of Generative AI, LLMs, and data-driven development.

Mansioni

• Lead product vision, strategy, and multi-phase roadmap.
• Develop AI-powered learning experiences and adaptive learning paths.
• Create learner models, recommendation systems, and mastery estimates.
• Collaborate with Engineering, AI/ML, Data Science, Marketing, and BD.
• Oversee requirements, AI evaluations, experiments, and analytics.

Conoscenze

Product Management

Product Strategy

Roadmap Development

Digital Products

Artificial Intelligence

Generative AI

LLMs

RAG

AI Agents

Machine Learning

Data-Driven Development

Personalization

Product Analytics

Cross-Functional Leadership

Education Technology

SaaS

Arabic Language Processing

Descrizione del lavoro

We are seeking a Product Manager to lead product vision, strategy, and roadmap while supporting the development of AI-powered digital learning experiences.

The role focuses on translating learner needs and business requirements into innovative product solutions, working closely with Engineering, AI & Machine Learning, Data Science, Instructional Design, Marketing, and Business Development teams.

What You'll Do

• Lead the product vision, strategy, and multi-phase product roadmap.
• Lead the development of AI-powered learning experiences, including adaptive learning, intelligent tutoring, personalized learning paths, content and assessment generation, and automated grading.
• Develop learner models, recommendation systems, knowledge-tracking capabilities, and mastery estimation.
• Collaborate closely with Engineering, AI & Machine Learning, Data Science, Instructional Design, Marketing, and Business Development teams.
• Manage product requirements, technical specifications, AI solution evaluations, product experiments, and product analytics.
• Ensure responsible AI, data protection, security, and compliance principles are incorporated into the platform.
• Develop and mentor Product Managers and serve as a product leadership reference for AI and learning across the organization.

What We're Looking For

Required Skills & Experience

• 8+ years of experience in Product Management, with strong experience in leadership or supervisory roles.
• Strong experience building, developing, and scaling digital products.
• Strong understanding of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, personalization, and data-driven product development.
• Experience working closely with Engineering, Data, and Machine Learning teams to develop complex technology products.
• Strong strategic thinking, product leadership, and cross-functional collaboration skills.

Recommended Skills

• Experience in Education Technology (EdTech), Software as a Service (SaaS), or technology platforms.
• Experience with Arabic Language Processing.

Key Skills

Product Management | Product Strategy | Product Roadmap | Digital Products | Artificial Intelligence | Generative AI | LLMs | RAG | AI Agents | Machine Learning | Data-Driven Product Development | Personalization | Product Analytics | Cross-Functional Leadership

Why This Role

This role offers the opportunity to lead the development of digital products at the intersection of Product Management, Artificial Intelligence, and digital learning, while collaborating with multidisciplinary technology, data, and learning teams.