Product Owner (all genders welcome) - AI-Driven Reservoir Simulation & Optimization

Das erwartet dich

• Own and continuously refine the product vision, roadmap, and backlog for the AI-driven reservoir simulator, aligned with business goals and market demands.
• Translate reservoir engineering and production-optimization requirements into clear user stories, acceptance criteria, and well-defined epics for cross-functional development teams.
• Collaborate closely with reservoir engineers, data scientists, and software/DevOps teams to ensure the AI model architecture is developed with production-grade data pipelines and validated against real reservoir behavior
• Define and prioritize features covering data ingestion and preprocessing (data cleaning, integration, transformation, aggregation of high-frequency sensor and low-frequency reservoir data), model training, history matching, and production forecasting and further reservoir optimization features.
• Facilitate sprint planning, backlog refinement, reviews, and retrospectives in an agile/Scrum environment in alignment with the extended project team; track progress against OKRs and epics.
• Act as the primary point of contact between internal stakeholders (engineering, commercial, leadership) regarding product scope, timelines, and value delivery.
• Define and monitor KPIs for model accuracy, computational performance, and business value (e.g., incremental production, reduced simulation runtime, improved forecast accuracy).
• Stay current on AI/ML advances in reservoir simulation (e.g., neural network surrogates, generative AI assistants, automated history matching) to keep the product roadmap competitive.
• Option to work remotely in countries Rosenxt bases like Germany, UK or the Netherland

Das bringst du mit

To become part of the Rosenxt family, you have an analytical, structured and solution-oriented way of working. You should also bring:

• A degree in petroleum engineering, reservoir engineering or a related technical field, or equivalent practical experience.
• 5+ years of experience as a Product Owner, Product Manager or similar role in a software or data-driven product environment with experience in oil & gas industry.
• Solid understanding of agile methodologies (Scrum/Kanban), backlog management, and tools such as Azure DevOps.
• Deep knowledge of reservoir engineering concepts (multiphase flow, production data, history matching).
• Basic understanding of AI/ML concepts (e.g., neural networks) sufficient to engage credibly with data science teams; hands-on ML experience is a plus.
• Strong stakeholder management and communication skills, able to translate between technical, commercial, and executive audiences.
• Experience with data aggregation and modeling challenges across different frequencies (real-time sensor data vs. monthly/quarterly reservoir data) is a plus.
• Fluent in English (written and spoken); German language skills are an advantage.

Freu dich auf

• Development opportunities and career opportunities in a global, innovative and long-term oriented group of companies with family character
• Flexible working time and Home Office possible
• An open, informal corporate culture, where we celebrate success with social events
• Compatibility of work and family through our company-owned day care center
• Employer funded pension, capital accumulation benefits and discounted insurance offers (occupational disability insurance and other direct insurance policies)
• Company Restaurant (only in Wietmarschen-Lohne)
• Various in-house sports activities (EGYM Wellpass and other offers)
• Discounted charging facilities for electric vehicles directly at the company location
• Attractive leasing offers for IT-products and bikes for private use
• Corporate Benefits - employee offers in changing online shops at top conditions

Weitere Informationen

More information about the Rosenxt Group please click here:

www.rosen-nxt.com

Mostramos trecho e link por vaga, e o texto integral quando a fonte permite. Marcas e logotipos citados pertencem aos seus titulares.

Publicada em 28 de out. de 2026

Publicada em 13 de out. de 2026

Fonte: Statistisches Bundesamt (Destatis), tabela; dl-de/by-2-0; cálculo da StarIn