
The best-run businesses run SAP.
Application AI Product Specialist
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.
Role description:
Experience with various LLM architecture design using RAG, MCP and hybrid models
Good understanding of choosing the right ML algorithms based on business problems.
Experience in prototyping Ai solutions including having a good understanding of data vectorizations and or feature designs
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Collaborate with SAP external customers specifically Retail, Manufacturing.. to drive workshops and outline AI use-cases. Develop PRD’s to clearly communicate requirements to the Engineering teams.
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Leverage AI to solve pressing business challenges for our enterprise customers
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Use the various Ai Studios to quickly create a proposed prototype for both neural networks and Agentic Ai use cases
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Partner with leadership, customers, and prospects to identify opportunities where AI can deliver value at scale for multiple SAP customers to build end to end processes using AI
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Define and track key business metrics that demonstrate the business impact
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Collaborate with our engineering and development teams working on AI technologies, UX designers and GTM teams to accelerate bringing products to the market.
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Develop customer facing multi-modal Generative AI demos specific to use cases and document the script, set-up environment for partners and solution architects to leverage.
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Conduct hands-on market research to validate requirements and ensure we're building solutions that address real customer needs and market opportunities
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Document what you know and guide others. This can vary from building targeted training for partners, Solutions Architects, and other internal stakeholders, to writing blogs, and to simply working through hard problems with a customer on a whiteboard.
Experience:
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5+ years of product management expertise with a proven track record of shipping
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2+ years of and hands on building generative AI models and shipping at scale
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Experience building conversational tools and chatbots
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Experience working with customers and building long-term strong relationships.
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Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into complex projects.
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Strong analytical and problem-solving skills.
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Experience successfully partnering with Data Science teams
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Passion for directly engaging with customers—from requirements gathering to demos and sales support
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Experience working and guiding product and engineering teams distributed globally
#SAPInternalT2, #ICC25, #SAPReturnship India Careers
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.
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.
Successful candidates might be required to undergo a background verification with an external vendor.
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: 433536 | Work Area: Solution and Product Management | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #
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SAPについて

SAP
PublicThe best-run businesses run SAP.
10,001+
従業員数
Walldorf
本社所在地
$157B
企業価値
レビュー
10件のレビュー
3.8
10件のレビュー
ワークライフバランス
3.2
報酬
3.5
企業文化
4.1
キャリア
3.4
経営陣
3.6
65%
知人への推奨率
良い点
Flexible hours and remote work options
Supportive management and team collaboration
Good benefits and training programs
改善点
Work-life balance challenges and overwhelming workload
Fast-paced environment with unrealistic deadlines
Limited career advancement opportunities
給与レンジ
2件のデータ
Intern
L3
L4
L5
Intern · Data Scientist
0件のレポート
$68,766
年収総額
基本給
-
ストック
-
ボーナス
-
$58,453
$79,079
面接レビュー
レビュー5件
難易度
4.0
/ 5
期間
14-28週間
体験
ポジティブ 0%
普通 40%
ネガティブ 60%
面接プロセス
1
Application Review
2
HR/Recruiter Screen
3
Phone/Technical Screen
4
Hiring Manager Interview
5
Onsite/Panel Interview
6
Technical Assessment
よくある質問
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
SAP-Specific Technical Skills
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