Technical Product Manager - AI and Retail Solutions

Apparel Group; Dubai; On-site; AED 335,000 - 670,000; Full time

Job summary

Apparel Group in Dubai, United Arab Emirates seeks a Technical Product Manager to lead AI-powered solutions and enterprise software across its retail technology landscape.

The role combines product management with hands-on AI/ML deployment, API design, cloud infrastructure and complex stakeholder coordination to deliver measurable business value and operational improvements.

Qualifications

• At least 2 years in product management, solutions engineering or related roles.
• At least 4 years building AI/ML solutions in production.
• Experience leading enterprise software implementations, preferably in retail/e‑commerce.
• Strong understanding of APIs, cloud infrastructure and software architecture.
• Proven ability to manage complex projects with multiple stakeholders.

Responsibilities

• Collaborate with cross‑functional teams to translate business challenges into technical specifications and product roadmaps.
• Define product objectives, prioritize requirements and align technology initiatives with business goals.
• Manage the complete product lifecycle, from initial research and requirements gathering through implementation, evaluation and improvement.
• Lead AI/ML integration, API evaluation and production deployment efforts.
• Oversee enterprise software implementations across multiple retail locations.
• Coordinate change management and stakeholder communications throughout delivery.

Skills

Product management

Solutions engineering

AI/ML solutions

Enterprise software

APIs & cloud

Stakeholder management

Communication skills

Education

Bachelor's degree in Computer Science, Engineering, Business or related discipline

Tools

Claude

ChatGPT

APIs

Cloud platforms

Job description

Technical Product Manager - AI and Retail Solutions Job Snapshot - Role: Technical Product Manager - Location: Dubai, United Arab Emirates - Industry: Apparel and Fashion - Function: Product Management - Experience: 2 years in product management or solutions engineering, 4 years in production AI/ML solutions, and 2 years leading enterprise software implementations - Job Type: Full Time - Work Arrangement: On-site

Position Overview Apparel Group is seeking a Technical Product Manager to lead the development, integration and implementation of AI-powered solutions and enterprise software across its retail technology environment in Dubai, United Arab Emirates. The position combines technical product management, artificial intelligence, software implementation and business transformation. The successful candidate will work with business stakeholders, technical teams and retail operations to translate business requirements into scalable technology solutions that improve operational efficiency and deliver measurable business value. The role requires hands‑on experience with production AI and machine learning solutions, enterprise software deployments and retail business processes. A strong understanding of APIs, cloud infrastructure, databases and software architecture is essential, together with the ability to manage complex projects involving multiple stakeholders.

Job Details - Country: United Arab Emirates - City: Dubai - Industry: Apparel and Fashion - Function: Product Management - Salary: Not disclosed - Gender: No Preference - Candidate Nationality: Not specified - Job Type: Full Time - Work Arrangement: On‑site

Key Responsibilities

• Collaborate with cross‑functional teams to understand business challenges and translate operational requirements into technical specifications and product roadmaps.
• Define product objectives, prioritize development requirements and align technology initiatives with business goals.
• Manage the complete product lifecycle, from initial research and requirements gathering through implementation, performance evaluation and ongoing improvement.
• Conduct market research to identify technology opportunities and evaluate their relevance to retail operations.
• Establish product success metrics and monitor performance, business value and return on investment.
• Evaluate whether business requirements are best addressed through internal development or third‑party technology solutions.
• Present product recommendations and technology priorities to business and technical stakeholders.

AI and Machine Learning Integration

• Evaluate artificial intelligence and machine learning technologies for integration into the retail technology environment.
• Assess APIs, external platforms and third‑party solutions for compatibility with existing systems and business requirements.
• Apply knowledge of machine learning concepts, including supervised learning, unsupervised learning, model training and validation.
• Support the architecture, integration and deployment of AI/ML solutions within production environments.
• Evaluate technical feasibility, implementation requirements and potential risks associated with proposed AI solutions.
• Explore opportunities to automate business workflows and develop AI agents using Claude and ChatGPT.
• Coordinate with technical teams to ensure that AI‑driven capabilities are aligned with operational needs and product objectives.

Enterprise Software Implementation

• Lead enterprise software implementation programs from concept through deployment across multiple retail locations and systems.
• Develop implementation plans, coordinate project activities and monitor delivery against agreed timelines and budgets.
• Work with engineering, infrastructure, business and support teams to manage implementation dependencies.
• Identify technical risks and establish appropriate mitigation measures throughout the project lifecycle.
• Troubleshoot implementation challenges and coordinate with support teams to resolve technical blockers.
• Ensure clear communication between technical teams and business stakeholders during system integration and deployment.
• Manage competing priorities while maintaining focus on project delivery requirements and business outcomes.

Retail Technology and Business Integration

• Work with retail stakeholders to understand processes involving merchandising, inventory management, point‑of‑sale systems, supply chain operations and customer analytics.
• Translate retail operational requirements into practical technology solutions and implementation priorities.
• Assess how new software capabilities can integrate with existing retail systems and business workflows.
• Coordinate with relevant departments to ensure technology initiatives address operational challenges and end‑user requirements.
• Evaluate solution effectiveness against business objectives and identified performance indicators.
• Support the adoption of new technologies across retail teams and operational functions.

Change Management and Stakeholder Engagement

• Develop change management approaches to support the introduction of new software products and technology solutions.
• Coordinate stakeholder training and prepare documentation required for successful system adoption.
• Explain technical requirements, implementation considerations and solution capabilities to non‑technical audiences.
• Communicate business priorities and operational expectations clearly to engineering and technical teams.
• Maintain alignment between business stakeholders and implementation teams throughout the product lifecycle.
• Address stakeholder concerns and support effective collaboration across departments.
• Influence cross‑functional teams and coordinate project activities without relying on direct reporting authority.

Technology Research and Strategic Insights

• Monitor developments in artificial intelligence, machine learning, retail technology and digital transformation.
• Research emerging software capabilities and assess their potential relevance to retail business requirements.
• Evaluate competitive technology developments and identify opportunities for operational improvement.
• Present market insights, technical assessments and strategic recommendations to leadership.
• Support technology planning by connecting emerging capabilities with business priorities and competitive positioning.

Required Qualifications and Experience

• At least 2 years of experience in product management, technical product management or solutions engineering.
• At least 4 years of hands‑on experience building, architecting or deploying AI/ML solutions in production environments.
• At least 2 years of experience leading enterprise software implementations, preferably within retail, e‑commerce or related industries.
• Bachelor's degree in Computer Science, Engineering, Business or a related discipline, or equivalent professional experience.
• Strong understanding of machine learning principles, including supervised and unsupervised learning, model training and validation.
• Technical knowledge of APIs, databases, cloud infrastructure and software architecture.
• Demonstrated experience with retail business processes, including merchandising, inventory management, point‑of‑sale systems, supply chain and customer analytics.
• Proven ability to manage complex projects involving multiple stakeholders, competing priorities and demanding timelines.
• Proficiency in using Claude and ChatGPT to automate workflows and build AI agents.
• PMP, Agile or Scrum certification.
• Excellent communication and presentation skills, including the ability to explain technical concepts to business audiences and business requirements to technical teams.

Core Competencies

• Technical Expertise - Strong understanding of AI/ML technologies, software architecture and enterprise implementation methodologies.
• Ability to evaluate technical solutions and their integration requirements within existing business systems.
• Practical knowledge of production AI applications and technology deployment considerations.
• Strategic and Commercial Thinking - Ability to connect technology initiatives with business objectives and competitive priorities.
• Understanding of product performance measurement, return on investment and solution value.
• Capacity to assess technology opportunities and make informed build‑versus‑buy recommendations.
• Project and Product Leadership - Strong planning, execution, coordination and technical risk management capabilities.
• Ability to manage product priorities and implementation activities across multiple stakeholders.
• Confidence in leading cross‑functional initiatives and influencing teams without direct authority.
• Problem‑Solving and Adaptability - Analytical approach to identifying technical challenges and developing practical solutions.
• Ability to manage ambiguity, changing requirements and competing business priorities.
• Creative thinking when evaluating complex technology and implementation problems.
• Customer Focus and Communication - Commitment to understanding end‑user needs and delivering technology solutions that provide measurable value.
• Strong interpersonal and presentation skills for engaging business and technical stakeholders.
• Ability to communicate clearly across different organizational functions and technical knowledge levels.

Role Impact

The Technical Product Manager will contribute to Apparel Group's retail technology initiatives by connecting business requirements with AI capabilities, enterprise software solutions and effective implementation practices. The position focuses on delivering technology products that address operational needs, supporting adoption across retail teams and ensuring that software investments contribute to measurable business outcomes. Through technical expertise, product leadership and cross‑functional coordination, the role supports the effective integration of AI/ML technologies and the continued development of the organization's retail technology capabilities.