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AI Product Manager; AI & ML

Job in Dubai, Dubai, UAE/Dubai
Listing for: RiDiK (A subsidiary of CLPS. Nasdaq: CLPS)
Full Time, Seasonal/Temporary position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 120000 - 200000 AED Yearly AED 120000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: AI Product Manager (AI & ML)

Manager - TA - SEA

Client:
Ridik Pte.

Ltd.

Location:

Dubai

Experience:

10-20 yrs

Primary

Skills:

AI /ML concepts, Product Management, Machine Learning, Artificial Intelligence.

Responsibilities:

  • Define and maintain an innovative and competitive product strategy and roadmap for AI and data initiatives.
  • Own product success. Define model and product metrics, experimentation strategy, and SLA/quality targets. Partner with engineers and research to evaluate architectures (LLMs, RAG, retrieval, embeddings) and operationalize model monitoring and feedback loops.
  • Own AI workflows, reliability, and user-facing intelligence experiences; responsible for day-to-day AI product execution.
  • Turn high-level user problems into structured workflows, data requirements, and success criteria; drive clarity on what product should do, why it matters, and how correctness is measured.
  • Monitor KPIs and ensure measurable improvements in user efficiency and product adoption.
  • Lead stakeholder communication and alignment across product, engineering, and business teams.
  • Drive agile ceremonies and backlog prioritization for technical teams.

Requirements:

  • AI Technical Expertise:
    Solid understanding of AI/ML concepts, data pipelines, and analytics platforms. Ability to translate technical capabilities into business value. You don’t have to be an ML engineer, but you must confidently discuss architectures, tradeoffs, and productization.
  • Reporting & Analytics Expertise:
    Solid understanding of analytic and reporting development, tools, and lifecycle.
  • Integration Expertise:
    Solid understanding of ETL tools and techniques.
  • Communication:
    Exceptional ability to articulate complex technical topics to non-technical audiences.
  • Experience with AI/ML-powered products, LLMs, RAG systems, or text-to-SQL workflows.
  • Experience defining evaluation frameworks, quality metrics, or reliability guardrails for AI systems.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Consulting, Product Management, Project Management

Industries: Software Development, Business Consulting and Services, IT Services and IT Consulting

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