Product Manager (m/f/d) – Autonomous Asset Management | Asset Investment Planning

What you'll bring

You are a product manager who prototypes AI solutions quickly and translates complex industry challenges into scalable, reusable products.

• A track record of rapid AI prototyping — demonstrated through concrete examples, iterative validation, and critical assessment of outputs.
• Practical product management experience translating customer needs into reusable solutions, with technical fluency for effective collaboration with engineers.
• Strong understanding of agentic AI, context engineering, AI output quality assurance, and AI-assisted automation.
• Working knowledge of governance, security, compliance, privacy, and responsible data handling.
• Analytical rigour, customer focus, and clear communication — excellent English required. Experience in asset management or asset-intensive industries is a plus.

We also look for people who think strategically, understand the business, and can bring others along with them — combining influencing skills and emotional intelligence with the ability to work through complex problems confidently.

In addition to the skills and experience specific to this role, all positions at SAP require candidates who are comfortable using AI tools — including agentic AI — in their day-to-day work, from crafting effective inputs and automating routine tasks, to evaluating AI-generated outputs for quality and driving adoption of AI practices within their teams.

What you'll build

You will own the full lifecycle of Asset Investment Planning templates and reusables — from discovery through continuous improvement — working in close partnership with a pod of engineers.

• Define the vision, scope, and priorities for Asset Investment Planning templates combining agentic AI, intelligent automation, and advanced optimization.
• Build functional prototypes using generative AI and low-code tools to validate value hypotheses early with customers.
• Identify recurring customer challenges and translate them into business workflows, decision criteria, and enterprise data requirements.
• Define measurable success criteria with customers — such as risk-adjusted portfolio value, planning effort, or expected lifecycle costs — and use feedback and usage data to improve reusability.
• Partner with product, platform, AI, and delivery teams to scale emerging AI capabilities into enterprise-ready reusables.

Where you belong

You will join the Industry AI unit for Energy and Natural Resources — a growing team in Munich focused on Autonomous Asset Management. The team builds agentic AI templates and reusables that help asset-intensive industries evaluate and prioritize critical capital investments across their asset lifecycle. The unit is expanding, and this is a strong moment to join: your work will directly shape how major industries plan and manage critical infrastructure at scale.

About SAP
With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives.
As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience.

We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
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AI Usage in the Recruitment Process
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Please note that any violation of these guidelines may result in disqualification from the hiring process.