Product Manager – AI-Driven Digital Products

About the Role We are looking for a Product Manager who is passionate about building customer-centric digital products and who understands how to apply AI to create real value. You will own one or more product areas end to end, from discovery and strategy through delivery, launch, and continuous optimization. You will work closely with engineering, design, and data science to shape intelligent features such as recommendation engines, conversational assistants, smart document processing, and automated decision flows. You will balance customer needs, business goals, partner requirements, and regulatory considerations to deliver products that are simple to use, reliable, and trusted. Key Responsibilities Product Strategy & Vision Define and communicate a clear product vision and strategy for your area, aligned with company objectives and market opportunities. Build and maintain a prioritized, outcome-focused roadmap that balances customer value, business impact, and technical feasibility. Conduct market and competitor analysis to identify gaps, trends, and opportunities in the regional digital landscape. Define success metrics and OKRs, and hold the team accountable to measurable outcomes rather than output. AI & Intelligent Product Development Identify high-impact opportunities to apply AI and machine learning, including personalization, recommendations, pricing intelligence, risk scoring, fraud detection, and process automation. Lead the design of features powered by large language models (LLMs), such as conversational assistants, AI-guided onboarding, intelligent search, and automated document extraction (OCR and data validation). Partner with data scientists and ML engineers to frame problems, define training data needs, set evaluation criteria, and decide between building, fine-tuning, or buying AI capabilities. Define quality, accuracy, latency, and cost benchmarks for AI features, and design human-in-the-loop fallbacks where appropriate. Champion responsible AI practices, including fairness, explain ability, transparency, data privacy, and safeguards against hallucinations or biased outcomes. Stay current with developments in generative AI, AI agents, and emerging tools, and translate them into practical product opportunities. Discovery & Customer Insight Run continuous discovery through customer interviews, usability testing, surveys, and behavioral analytics. Map end-to-end customer journeys, identify friction points, and translate insights into clear problem statements and hypotheses. Use quantitative data (funnels, cohorts, conversion, retention) and qualitative feedback to drive prioritization. Execution & Delivery Write clear product requirements, user stories, and acceptance criteria, and keep the backlog well-groomed and prioritized. Work in agile cycles with engineering and design, removing blockers and making fast, informed trade-off decisions. Plan and run experiments, including A/B tests and staged rollouts, to validate ideas before scaling them. Coordinate product launches with marketing, operations, sales, and customer support, including training and go-to-market materials. Monitor post-launch performance, gather feedback, and iterate to improve results. Stakeholder & Partner Management Act as the bridge between technical and business teams, communicating priorities, progress, and decisions clearly to all levels, including senior leadership. Collaborate with external partners and third-party providers on API integrations, data exchange, and joint product initiatives. Work with legal, compliance, and information security teams to ensure products meet regulatory, data protection, and security standards. Requirements Must Have Qualifications: Bachelor's degree in Computer Science, Engineering, Business, or a related field; a Master's degree or MBA is a plus. 4–7+ years of product management experience in digital products, ideally within fintech, e-commerce, marketplaces, or other high-growth technology companies. Proven track record of shipping successful B2C and/or B2B digital products (web and mobile) from concept to scale. Solid working knowledge of AI and machine learning concepts, including LLMs, prompt design, retrieval-augmented generation (RAG), model evaluation, and the practical limitations of AI systems. Hands-on experience delivering at least one AI- or data-driven product feature into production. Strong analytical skills, with comfort using tools such as SQL, Mixpanel, Amplitude, Google Analytics, Looker, or Power BI. Good technical understanding of APIs, system integrations, and modern software architecture. Experience with agile methodologies and tools such as Jira, Confluence, Notion, and Figma. Nice to have Qualifications: Experience in insurance, insurtech, or related financial services, such as understanding of policy lifecycles, quoting, underwriting, or claims processes. Familiarity with regulated industries and with UAE or GCC regulatory and data protection frameworks. Experience building comparison platforms, marketplaces, or multi-partner integration products. Exposure to AI agents, workflow automation platforms, or AI tooling (e.g., OpenAI, Anthropic, Azure AI, AWS Bedrock, LangChain). Experience with payments, digital identity (e.g., UAE Pass), or KYC solutions. Arabic language proficiency. Certifications such as CSPO, PSPO, Pragmatic Institute, or AI/ML product management courses. Show more Show less