More jobs:
AI Product Manager; AI & ML
Job in
Dubai, Dubai, UAE/Dubai
Listed on 2026-01-12
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
Job Description & How to Apply Below
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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