AI Product Manager

📍Abu Dhabi, UAE (Relocation package available) We’re partnering with a rapidly growing financial technology company using AI and data to transform how high-growth businesses access and manage capital. They’re looking for a highly technical AI Product Manager to lead the development of AI-powered products across the full lifecycle - from data and models through to user-facing applications. You’ll sit at the intersection of Product, Engineering and Data Science, turning complex financial and business problems into production-ready AI systems. This includes AI assistants, agentic workflows, decision-support tools and data platforms that need to be accurate, explainable and reliable in a high-stakes environment. What You’ll Do: • Define and deliver AI-native products including AI assistants, chat interfaces, agentic workflows and decision-support tools. • Translate complex financial and analytical problems into practical AI product solutions. • Own product development across data pipelines, model layers and application experiences. • Design and implement LLM and multi-agent systems across key business workflows. • Build structured representations of complex financial and business data. • Own the quality and reliability of AI outputs in production. • Define approaches to evaluation, hallucination mitigation and model performance. • Work closely with Data Science and Engineering teams to take concepts through to production. • Debug problems across data quality, model behaviour and user experience. • Develop AI-powered tools for areas such as financial analysis, risk assessment, deal evaluation and monitoring. • Make architectural and product trade-offs while balancing speed, accuracy and business impact. Who We’re Looking For: • 5+ years of Product Management experience, with strong technical depth. • Strong understanding of LLMs, prompting, RAG, evaluation and hallucination mitigation. • Good understanding of data pipelines, APIs and structured/unstructured data. • Strong grasp of machine learning fundamentals and model evaluation. • Experience building or managing AI-powered products in production. • Strong SQL/data querying skills and experience working with API integrations. • Ability to understand and shape system architecture across data, AI models and product layers. • Comfortable debugging problems across data, model and UX layers. • Proven experience working closely with Engineering and Data Science teams. • Experience with financial, analytical or data-intensive products is highly beneficial. • Fintech or financial services experience is a strong plus. Interested? Apply today! Show more Show less

Define and deliver AI-native products including AI assistants, chat interfaces, agentic workflows and decision-support tools. Translate complex financial and analytical problems into practical AI product solutions. Own product development across data pipelines, model layers and application experiences. Design and implement LLM and multi-agent systems across key business workflows. Build structured representations of complex financial and business data. Own the quality and reliability of AI outputs in production. Define approaches to evaluation, hallucination mitigation and model performance. Work closely with Data Science and Engineering teams to take concepts through to production. Debug problems across data quality, model behaviour and user experience. Develop AI-powered tools for areas such as financial analysis, risk assessment, deal evaluation and monitoring. Make architectural and product trade-offs while balancing speed, accuracy and business impact.