AI Product Manager

Emdad By Elm; Riyadh; On-site; SAR 150,000 - 200,000; Full time

Job summary

A leading educational technology company in Saudi Arabia is seeking an experienced AI Product Manager to oversee the development and lifecycle management of AI-driven products. Responsible for aligning AI solutions with organizational goals, you will collaborate with cross-functional teams to enhance digital learning experiences and deliver measurable outcomes through data-driven insights. The ideal candidate will have experience in digital product management and a strong understanding of AI methodologies. This role requires excellent communication and strategic thinking skills.

Qualifications

• 3–5 years of experience in digital product management, preferably with AI-driven products.
• Strong understanding of AI and machine learning concepts.
• Experience in e-learning or EdTech is a plus.

Responsibilities

• Lead the vision, strategy, and roadmap for AI-based products.
• Translate business needs into product requirements.
• Collaborate with cross-functional teams to develop AI solutions.
• Monitor and evaluate product performance and user impact.

Skills

Strategic thinking

Stakeholder management

Data analysis

Agile methodologies

Clear communication skills

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, Business Administration

Master’s degree in Artificial Intelligence, Product Management, Digital Transformation

Job description

The AI Product Manager is responsible for leading the planning, development, and lifecycle management of AI-driven products. The role ensures that artificial intelligence solutions align with organizational strategic objectives, enhance digital learning experiences, and deliver measurable educational impact through data-driven and ethical AI practices.

Key Outcomes:

• Successful delivery of high-impact AI-enabled learning products.
• Enhanced learner experience and platform effectiveness through intelligent solutions.
• Measurable improvement in educational outcomes supported by AI-driven insights.
• Contribution to digital transformation and innovation initiatives.

Key Responsibilities:

• Define and own the vision, strategy, and roadmap for AI-based products.
• Translate educational and business needs into clear product requirements, specifications, and success metrics.
• Collaborate closely with cross-functional teams, including:
• AI and Data Science
• Software Engineering
• UX/UI Design
• Educational Content and Instructional Design
• Develop and maintain Product Requirement Documents (PRDs), user stories, and acceptance criteria.
• Oversee the development, testing, deployment, and continuous improvement of AI models and features.
• Monitor and evaluate AI product performance, including accuracy, reliability, scalability, and user impact.
• Ensure compliance with applicable regulations, data governance standards, and AI ethics policies.
• Prioritize product features and manage trade-offs between educational value, technical feasibility, and resource constraints.
• Analyze product data and KPIs to drive continuous optimization and innovation.
• Communicate product progress, risks, and outcomes to stakeholders and leadership.

Job Requirements:

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Business Administration, or a related field.
• Master’s degree in Artificial Intelligence, Product Management, Digital Transformation, or a related discipline is preferred.
• Minimum of 3–5 years of experience in digital product management; experience with AI-driven products is highly desirable.
• Strong understanding of artificial intelligence and machine learning concepts (e.g., Machine Learning, NLP, Recommendation Systems).
• Experience working with Agile / Scrum methodologies.
• Proven ability to define and track KPIs and make data-driven product decisions.
• Experience in e-learning, digital education platforms, or EdTech is an advantage.

Core Competencies

• Strategic thinking and problem-solving
• Stakeholder management and cross-functional collaboration
• Clear documentation and communication skills
• Data analysis and decision-making
• Time management and prioritization
• Knowledge of AI ethics, data privacy, and governance principles