Flexa
Discover companiesFind a jobResourcesSign in/up
For employers
Flex spring

Join the mailing list

Get the latest insights and expert guidance on job hunting, career progression, and creating thriving workplaces.

Enter your email
  • About us
  • Contact us
  • FAQs
  • Info for employers
  • Join Flexa
  • Legal
  • Live feed
  • Resources
  • Sign in/up
  • The Flexa awards
Flexa
< Back to search
SAP

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

Location:  Garching bei München, Germany
Location flexibility:  3 office days / week
View company profile
Apply

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.

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.
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
Please note that any violation of these guidelines may result in disqualification from the hiring process.

Apply

Other jobs you might like

SAP

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

Garching bei München, DE

SAP

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

Garching bei München, DE

SAP

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

Garching bei München, DE

Working at SAP

3 office days / week

Fully flexible hours

Company benefits

25 (UK) 30 (Germany) 21 (India) days annual leave + bank holidays
Accrued annual leave – 1 day/year up to 30 days (UK)
Open to job sharing
Sabbaticals
Adoption leave – Up to 52 weeks (UK)
Open to part time work for some roles
Returnship
Equity packages
Shared parental leave
Enhanced maternity leave
Fertility benefits
Pregnancy support
On-site childcare
Share options
Electric Car Salary Sacrifice
Gym membership
Dental coverage
Health insurance
Private GP service
Mental health platform access
Life assurance
Life insurance
Enhanced pension match/contribution
Enhanced paternity leave
Travel insurance
Cycle to work scheme
On-site gym
Bike parking
Enhanced sick pay
Emergency leave
Enhanced sick days
Company car
Open to part-time employees
Work from anywhere scheme
Childcare credits
Fertility treatment leave
Pregnancy loss leave
Carer’s leave
Nursery salary sacrifice scheme
Family health insurance
Women’s health leave
Annual bonus
401K
Referral bonus
Joining bonus
Employee discounts
Loyalty programme
Non-contributory pension
Personal development days
Personal development budgets
L&D budget
Language lessons
Learning license
Study support
Studying sabbaticals
Lunch and learns
In house training
Hackathons
Professional subscriptions
Further education support

Awards & Accreditations

Best Workplace Benefits

Top 10 - Best Workplace Benefits

Flexa awards 2026
Apply

SAP

Engineering Manager / Tech Lead – Industry AI, Autonomous Asset Management (f/m/d)

Garching, DE

SAP

Engineering Manager / Tech Lead – Industry AI, Autonomous Asset Management (f/m/d)

Garching, DE

Company employees:

107,000

Gender diversity (m:f):

65:35

Hiring in countries

Argentina

Australia

Austria

Bahrain

Belgium

Brazil

Bulgaria

Canada

Chile

China

Colombia

Croatia

Czechia

Denmark

Egypt

Finland

France

Germany

Greece

Hong Kong

Hungary

India

Indonesia

Ireland

Israel

Italy

Japan

Kuwait

Luxembourg

Malaysia

Mexico

Netherlands

New Zealand

Norway

Oman

Pakistan

Peru

Philippines

Poland

Portugal

Qatar

Romania

Saudi Arabia

Serbia

Singapore

Slovakia

South Africa

South Korea

Spain

Sweden

Switzerland

Taiwan

Thailand

Türkiye

United Arab Emirates

United Kingdom

United States

Vietnam

Office Locations