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AI Product Manager (Fintech)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UAE
RUВакансия из Hirify RU, списка российских tech-компаний

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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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