Product Manager (Subsurface Domain)

AIQ is an Abu Dhabi-based technology company that develops and deploys industrial artificial intelligence (AI) technologies at scale, focused on the energy sector. As a venture between Presight (G42) and ADNOC, AIQ has productized 15 AI-enabled solutions that support clients to perform better, protect teams and equipment, keep operations sustainable, and rapidly scale successes. The organization embraces an innovative and entrepreneurial spirit, looking to push boundaries and solve transformational challenges across industry. It welcomes professionals that share the desire to make meaningful and impactful contributions to the mission to deliver responsible AI to the heart of industrial processes. Always on the forefront of technology, AIQ provides its talent with an environment to thrive and excel. Working at AIQ includes participating in some of the most significant industrial transformation projects, interacting with massive data pools, utilizing sophisticated AI infrastructure that is powered by a NVIDIA GPU cloud computing platform, and access to abundant computing, storage, and network resources made available from across the G42 ecosystem.OverviewAIQ is looking for a Product Manager (Subsurface Domain) to lead the development of AI-driven products focused on subsurface workflows and upstream oil and gas operations. This role requires a strong product leader with hands‑on subsurface domain expertise who can translate real operational challenges into scalable digital solutions. The Product Manager will own the product roadmap, prioritize features based on operational value, and work closely with customers, engineers, and data scientists to deliver commercially viable products that improve subsurface performance and efficiency. The position is highly operational and customer‑oriented, requiring deep understanding of upstream workflows and the ability to bridge subsurface operations and product development.ResponsibilitiesLead the product strategy and roadmap for AI-driven subsurface solutionsTranslate reservoir engineering and subsurface workflow challenges into scalable digital product requirementsPrioritize features according to value, urgency, commercial impactEngage with the development team to validate their designs and solutionsWork closely with reservoir/production engineers, data scientists, and software developers to design AI-enabled subsurface workflowsSupport deployment and adoption of subsurface products across multiple clientsDevelop new business opportunities by leveraging contacts, pursuing new product development, and improving project efficiencyContribute to technical positioning, customer engagement, and opportunity identification for subsurface digital solutionsIdentify opportunities to integrate machine learning, advance analytics, and automation into petro‑technical workflows in reservoir management, production surveillance, and optimizationMaintain up‑to‑date knowledge of current trends and developments relevant to the fieldStay ahead of market trends in Artificial Intelligence within the Oil and Gas domain and cascade insights to the broader teamEnsure commercial viability of all developed solutionsConduct market research through a variety of techniquesConvert findings into actionable recommendations in written reports or presentationsDevelop the department’s operational plans and budget requirements with respect to people, operations, and technologyParticipate in the development and regular reviews of teamwork and ensure timely completion of activitiesDevelop and recommend the appropriate organization structure for the department to meet business objectivesResponsible for the development of policies, processes, procedures, and systems in line with best practices and company Code of PracticesPropose improvements in internal processes against best practices in pursuit of greater efficiency in line with ISO standardsManage internal and external audits of the department to ensure timely actions and closure of audit recommendationsQualificationsBachelor’s or Master’s degree in Petroleum Engineering, Reservoir Engineering, Computer Science, or equivalent5–10 years’ experience in product management, subsurface engineering, or upstream oil & gas digital solution development/supportDeep and up‑to‑date knowledge of subsurface workflows and reservoir engineering practices in upstream oil & gas operationsExperience working with oil & gas software platforms, in product development, customer support, deployment, or technical sales rolesProven experience AI and machine learning applications in upstream workflowsFamiliarity with subsurface solutions such as geological modeling, reservoir simulation, production surveillance, and reservoir managementExperience working with cross‑functional teams including software engineers and data scientistsCommunication skills to negotiate effectively with both customers and developersGood understanding of AI: what is possible/impossible, what is hard/easyGood