Description

We're looking for a Senior Product Manager to join our team in Al Khobar, Saudi Arabia, in an on-site working mode. In this role, you will lead the discovery, design, implementation and scaling of GenAI products for Downstream Oil & Gas and refinery operations. You will collaborate closely with refinery stakeholders, engineers, IT teams and leadership to deliver AI-powered solutions that are technically feasible, operationally reliable and deliver measurable business impact. This role offers an opportunity to influence large-scale industrial AI adoption and contribute to digital transformation initiatives in a mission-critical domain. The deadline for submission is 04/11/2026 . Responsibilities Own the vision, roadmap and strategy for GenAI products that support refinery workflows and Downstream operations Conduct discovery sessions, operational assessments and user research on-site with refinery teams Translate refinery-specific requirements into scalable enterprise product capabilities Lead end-to-end GenAI solution delivery from proof-of-concept to production-grade implementation and adoption Define requirements for AI copilots, decision-support tools and engineering knowledge assistants Establish governance and monitoring for AI systems, focusing on reliability, safety and continuous improvement Collaborate with technical teams to define integration points for industrial systems (e.g., SAP, PI System, LIMS) Ensure compliance with security, data governance and enterprise architecture standards Engage senior stakeholders, prepare decision papers and manage product updates and demonstrations Oversee product backlogs, release plans, risk and dependency management and acceptance criteria Requirements 8-10 years of overall experience with 5-6 years in technical product management or related leadership roles Strong understanding of Downstream Oil & Gas processes, including refinery operations Hands-on experience delivering AI or GenAI products in complex enterprise settings Expertise in stakeholder management, roadmap planning and business process mapping Familiarity with integration of enterprise data systems (e.g., SAP, PI, maintenance platforms) Ability to work effectively with engineering, cybersecurity and data governance teams Excellent communication and leadership skills Fluent English communication skills (B2 level or higher) Academic degree in Computer Science, Software Engineering or a related field Valid SCE (Saudi Council of Engineers) certificate (with IT related discipline) is required for this position Nice to have Experience with AI copilots, knowledge assistants and document-intelligence solutions Awareness of private cloud, hybrid and on-premise deployment models (e.g., OpenShift, Kubernetes) Background in industrial IoT or predictive maintenance solutions