fintechaisqlproduct managementllmragmachine learningdata pipelinesapi integrationmulti agent systems
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Это понятная senior-роль на стыке ИИ и финтеха с высокой технической ответственностью, но без указанной зарплаты сложно оценить привлекательность общего предложения.
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Зарплата не указанаНа стыке ИИ и финтехаШирокая ответственность
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Текст:
Hirify AI/Оригинал
TL;DR
AI Product Manager (Fintech): Building AI-powered products for financial analysis, risk assessment, deal evaluation, and monitoring with an accent on LLM applications, data pipelines, model layers, and user-facing experiences. Focus on designing multi-agent systems, evaluating model performance, mitigating hallucinations, and taking reliable AI products into production.
Location: Abu Dhabi, United Arab Emirates
Company
A financial technology company uses AI and data to improve how high-growth businesses access and manage capital.
What you will 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, production-ready AI solutions.
Own product development across data pipelines, model layers, and user-facing applications.
Design and implement LLM and multi-agent systems for key business workflows.
Build structured representations of financial and business data and develop tools for financial analysis, risk assessment, deal evaluation, and monitoring.
Own AI output quality, evaluation, hallucination mitigation, reliability, and architectural trade-offs through production delivery.
Requirements
5+ years of Product Management experience with strong technical depth.
Strong understanding of LLMs, prompting, RAG, evaluation, and hallucination mitigation.
Knowledge of data pipelines, APIs, structured and unstructured data, machine learning fundamentals, and model evaluation.
Experience building or managing AI-powered products in production.
Strong SQL and data-querying skills, including experience with API integrations.
Ability to shape system architecture across data, AI models, and product layers and collaborate closely with Engineering and Data Science.
Nice to have
Experience with financial, analytical, or data-intensive products.
Fintech or financial services experience.
Culture & Benefits
Work at the intersection of Product, Engineering, and Data Science.
Build AI systems where accuracy, explainability, and reliability are critical.
Balance delivery speed, model accuracy, and business impact in a high-stakes financial environment.
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