Product Manager (m/f/d) – Autonomous Asset Management | Maintenance Schedule Optimization

SAP SE; Garching bei München; On-site; EUR 90,000 - 130,000; Full time

Job summary

SAP SE is seeking a product manager in Munich to own Maintenance Schedule Optimization templates. You will prototype AI-driven solutions, translate asset-management challenges into scalable products, and collaborate across product, platform, AI, and delivery teams to deliver enterprise-ready templates that boost planning accuracy and asset availability.

You will work within the Industry AI unit for Energy and Natural Resources, contributing to autonomous asset management and AI-powered

Qualifications

• Proven rapid AI prototyping with iterative validation.
• Experience translating customer needs into reusable AI-enabled solutions.
• Technical fluency to collaborate with engineers on complex problems.
• Strong understanding of agentic AI, context engineering, and AI quality assurance.
• Knowledge of governance, security, privacy, and compliant data handling.
• Analytical rigor, customer focus, and clear communication in English.

Responsibilities

• Define vision, scope, and priorities for Maintenance Schedule Optimization templates.
• Build prototypes using generative AI and low-code tools to validate concepts.
• Translate recurring customer challenges into business workflows and data requirements.
• Set measurable success criteria with customers and improve templates from feedback.
• Collaborate with product, platform, AI, and delivery teams to make reusable templates enterprise-ready.

Skills

Rapid AI prototyping

Product management experience

Technical collaboration with engineers

Agentic AI / context engineering

Governance, security, privacy

Analytical rigour

English fluency

Tools

Low-code tools

Generative AI tools

Job description

Company Description

Job Description

What you'll bring

You are a product manager who prototypes AI solutions quickly and translates complex asset management 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 Maintenance Schedule Optimization templates and reusables — from discovery through continuous improvement.

• Define the vision, scope, and priorities for Maintenance Schedule Optimization templates combining agentic AI, intelligent automation, and advanced optimization.
• Build prototypes using generative AI and low-code tools to validate maintenance schedule concepts, planning scenarios, and agentic workflows with customers early.
• Identify recurring customer challenges and translate them into business workflows, decision criteria, and enterprise data requirements.
• Set measurable success criteria with customers — such as planning effort, schedule adherence, or asset availability — and use feedback and usage data to improve reusability.
• Partner with product, platform, AI, and delivery teams to turn emerging AI capabilities into enterprise-ready templates and reusables.

Where you belong

You will join the Industry AI unit for Energy and Natural Resources — a growing team in Munich building AI-powered solutions for asset-intensive industries. The team focuses on Autonomous Asset Management, helping companies maintain and optimize critical assets with AI. The unit is expanding, and your work will shape how major industries approach maintenance planning and asset optimization at scale.

Qualifications

Additional Information

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.

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