The company is a leading global provider of digital platform engineering and software development services, focusing on innovation for over 30 years. We are seeking a Senior Product Manager to lead the discovery, design, implementation, and scaling of GenAI products for Downstream Oil & Gas and refinery operations in Al Khobar, Saudi Arabia. In this role, you will collaborate with refinery stakeholders, engineers, IT teams, and leadership to deliver AI-powered solutions that are operationally reliable and offer measurable business impact. This position allows you to influence the adoption of industrial AI and contribute to significant digital transformation initiatives.
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Responsibilities:
- Own the vision, roadmap, and strategy for GenAI products supporting refinery workflows and Downstream operations.
- Conduct operational assessments and user research on-site with refinery teams.
- Lead the delivery of GenAI solutions from proof-of-concept to production implementation.
- Define requirements for AI copilots and decision-support tools.
- Establish governance for AI systems focusing on reliability and safety.
- Collaborate with technical teams for integration with industrial systems (e.g., SAP, PI System).
- Ensure compliance with security and data governance standards.
- Engage with senior stakeholders and manage product updates.
- Oversee product backlogs, release plans, and risk management.
Requirements:
- 8–10 years of overall experience with 5–6 years in technical product management.
- Strong understanding of Downstream Oil & Gas processes, especially refinery operations.
- Experience delivering AI or GenAI products in enterprise settings.
- Excellent communication and leadership skills.
- Fluent in English (B2 level or higher).
- Academic degree in Computer Science, Software Engineering or related field.
- Valid SCE (Saudi Council of Engineers) certificate required.
Nice to Have:
- Experience with AI copilots and document-intelligence solutions.
- Awareness of cloud and hybrid deployment models.
- Background in industrial IoT or predictive maintenance solutions.
Benefits:
- General Organization for Social Insurance (GOSI).
- Private healthcare and life insurance.
- End of service gratuity.
- Annual air travel allowance for expatriates.
- Employee Referral Program with rewards.
- Opportunities for learning and development, including training and professional certifications.
Nature of Work and Working Hours:
The usual working hours are from 9:00 AM to 6:00 PM, including a one-hour unpaid lunch break. Flexibility is accommodated whenever possible based on client requirements.
Application Process:
If you meet the requirements and wish to join the company, please submit your application online with your CV. The recruitment process includes an initial conversation with our Talent Acquisition team, a technical interview, and an interview with the hiring manager. A client interview may also be included. The application deadline is April 11, 2026.
