Product Manager – Drilling Solutions AI

The Product Manager, Drilling Solutions AI owns and executes the product roadmap for artificial intelligence capabilities across the Nabors Drilling Solutions technology portfolio. This hands-on role combines product management with rapid solution development: the position identifies high-value drilling and operational use cases, validates them directly by building proofs of concept and working prototypes, and translates validated concepts into scalable product requirements for Engineering and Data Science teams. The role works across Product Management, Engineering, Operations, Commercial, and customer stakeholders to deliver AI-enabled solutions that improve drilling performance, operational efficiency, safety, and customer outcomes. The position applies responsible AI, security, and product governance throughout discovery, prototyping, pilot deployment, commercialization, and continuous improvement.

Required

- Bachelor's degree in Engineering, Computer Science, Data Science, Information Systems, Business, or a related discipline, or an equivalent combination of education and directly relevant experience.
- 4–8+ years of experience in product management, software or digital solution delivery, data or AI products, drilling technology, or a related technical role.
- Demonstrated experience owning product discovery, requirements, backlog priorities, delivery coordination, and measurable product outcomes.
- Demonstrated hands-on experience building and testing proofs of concept, prototypes, automations, analytics, or AI-enabled solutions using modern development, cloud, data, API, scripting, or low-code tools.
- Working knowledge of AI and machine-learning solution patterns, data requirements, evaluation methods, integration concepts, and responsible AI considerations.
- Ability to translate operational and customer problems into testable hypotheses, functional prototypes, product requirements, and implementation recommendations.
- Effective written and verbal communication with technical, operational, commercial, customer, and leadership stakeholders.

Preferred

- Master's degree in Business Administration, Engineering, Computer Science, Data Science, or a related discipline.
- Experience developing AI, machine-learning, generative-AI, predictive-analytics, automation, or decision-support solutions.
- Experience with Python, SQL, APIs, Git-based source control, prompt engineering, retrieval-augmented generation, agentic workflows, model evaluation, or comparable tools and methods.
- Experience with Azure AI services, Azure OpenAI, Microsoft Copilot Studio, Databricks, Snowflake, Power BI, cloud platforms, or comparable technologies.
- Experience in drilling, oilfield services, industrial technology, automation, operational technology or digital operations environments.
- Product management, Agile, cloud, data, or AI-related certification.

#LI-SMO