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SAP • Garching bei München, DE

Research Manager (f/m/d): SAP Business AI Research

Employment type:  Full time
8.4

/10

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Job Description

We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.



What you`ll do

At SAP’s Business AI Research, we are working on exploring the next frontier of AI methods on business data – graphs, tables, time series, and more. Foundation Models have ushered in the GenAI era for business relevant scenarios: Accessing business data at scale using agentic methods, as well as training models with novel architectures and approaches. Now, we are taking the next step. We collaborate with our existing applied research teams and academic partners to develop and publish relevant business benchmarks at scientific conferences and in the open-source community, enabling the development of novel methods and models that solve real business problems.


The Role

  • Unique opportunity to build, steer, manage and mentor a team of highly-skilled Research Scientists and Research Engineers, leading a new AI research team being set up in Munich.
  • Lead research groups focusing on different topics, ranging from Agentic AI, Causal AI, LLM-based Knowledge Graph Access, Knowledge Engineering, to Foundation Models on Structured Data / Semantically Linked Tables and Business World Models.
  • Be accountable for the success, quality, and delivery of open source benchmarks and models showcasing SAP’s key research questions, as well as scientific publications at top tier conferences.
  • Collaborate with applied science and product teams to jointly establish research roadmaps leading to long-term product differentiation and impact.
  • Collaborate with academic partners and foster the transfer of ideas and knowledge.
  • Foster a culture of innovation and scientific rigor.
  • Act as a problem solver to address organizational and process challenges, leveraging technical expertise to bridge gaps, streamline operations, and facilitate smooth execution of partnership initiatives.
  • Maintain up-to-date knowledge of Research trends, and jointly with the team apply this expertise to continuously revise and refine the research roadmap.
  • Contribute to thought leadership in the space of AI research on business data.


What you bring

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or other relevant disciplines.
  • 10+ years of research experience in AI, ideally covering both - Knowledge Graphs and Machine Learning AND Foundation Models on Tabular Data. This should be supported by a substantial record of related publications, including recent works, and a well-established network in these fields.
  • Proven experience and deep understanding of the opportunities and challenges associated with collaboration between industrial and academic research.
  • Experience in leading teams and projects in complex environments.
  • Understanding of issues and opportunities of applying Generative AI in a business context.
  • Demonstrated exceptional leadership, interpersonal and organizational skills, with responsibilities including setting and achieving team goals, mentoring team members, and effectively managing and communicating within large, diverse teams. Must demonstrate a track record of delivering results.


Meet your team

SAP's AI organization is dedicated to seamlessly infusing AI into all enterprise applications, enabling customers, partners, and developers to enhance business processes and generate remarkable business value. Join our international AI team where innovation thrives, opportunities for personal development abound, and exceptional colleagues collaborate globally.


#SAPBusinessAICareers #LI-KH1

Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

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.

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.

Requisition ID: 447222 | Work Area: Software-Research | Expected Travel: 0 - 10% | Career Status: Management | Employment Type: Regular Full Time | #LI-Hybrid #LI-KH1

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
LinkedIn learning license
Study support
Studying sabbaticals
Lunch and learns
In house training
Hackathons
Professional subscriptions
Further education support

Working at SAP

Company employees:

107,000

Gender diversity (m:f):

65:35

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