Siemens Energy

• Own the AI product vision, roadmap, and backlog for AI/ML and GenAI-based anomaly detection solutions, balancing customer value, technical feasibility, business impact, and governance requirements.
• Engage with customers, domain experts, and stakeholders to identify AI-relevant pain points and translate them into clear product requirements, user stories, acceptance criteria, and measurable success metrics.
• Drive iterative delivery with cross-functional teams across software engineering, data science, MLOps, UX/UI, and business, applying agile product management practices to deliver AI-powered capabilities.
• Shape and continuously improve AI product capabilities including data ingestion, model lifecycle workflows, model evaluation, performance monitoring, drift detection, retraining, explainability, alert visualization, and GenAI-supported root cause analysis.
• Enable adoption and responsible rollout by communicating product value, capabilities, and limitations, while ensuring alignment with AI governance, cybersecurity, compliance, data protection, and workers council requirements.

• Bachelor’s degree in business, marketing, or a related field. Master degree preferred
• Strong AI/ML and GenAI understanding, including statistics, machine learning, LLMs, AI evaluation frameworks, model lifecycle concepts, explainability, monitoring, and responsible AI principles.
• Proven product ownership or product management experience, ideally for AI, data, analytics, or software products, with the ability to define vision, roadmaps, backlogs, priorities, and measurable business outcomes.
• User-centric and value-driven mindset, with the ability to translate user needs, domain challenges, and business goals into actionable requirements, success metrics, and impactful AI-supported workflows.
• Excellent cross-functional collaboration skills, working effectively with engineering, data science, MLOps, UX/UI, business stakeholders, compliance, cybersecurity, and governance functions.
• Strong agile, communication, and AI tooling capabilities, including Scrum practices, backlog refinement, iterative delivery, explaining complex AI topics to non-technical audiences, and using AI tools to support product definition, documentation, and lifecycle management.

At Siemens Energy, we are more than just an energy technology company. With ~100.000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.      

• In addition to an attractive remuneration package in line with the market, you can expect an attractive employer-financed company pension scheme
• We also offer the opportunity to become a Siemens Energy shareholder
• We offer our employees the opportunity to work flexibly and remotely, and our inspiring offices provide space for collaboration and creativity
• The professional and personal development of our employees is very important to us. We provide them with the opportunities to learn and develop in a self-determined way, various attractive programmes and learning materials are available for this purpose
• In relation to the "compatibility of family and work", we have a wide range of offers, e.g. flexible working time models, childcare places at many locations, the possibility of trial part-time work or even a sabbatical