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Engineering Manager - AI Job Opening In Palo Alto – Now Hiring SAP


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.

We are looking for an experienced and visionary **Engineering Manager** to lead a high-performing team building distributed systems that power AI and large language model (LLM) capabilities at scale.

In this role, you will define technical direction, foster innovation, and ensure your team delivers impactful, production-grade systems that shape the future of SAP’s AI offerings.

**Description**

As the leader of a fast-moving and collaborative team, you will guide the design, development, and deployment of cutting-edge AI infrastructure.

You’ll be responsible for growing and mentoring engineering talent, setting technical priorities, and working closely with cross-functional partners to align on vision and execution.

We’re seeking someone who thrives in ambiguous environments, can connect high-level strategy to concrete deliverables, and inspires engineers to achieve their best work

**Key Responsibilitie**

+ Lead and inspire a team of engineers delivering backend systems, APIs, databases, and LLM infrastructure
+ Define and communicate technical vision, ensuring alignment with product and business goals
+ Collaborate with product managers, researchers, and architects to translate ideas into scalable solutions
+ Foster a culture of technical excellence, innovation, and continuous improvement
+ Provide hands-on technical guidance where needed, ensuring high-quality code and architecture
+ Oversee projects leveraging modern distributed systems, data platforms, and API frameworks
+ Build team capabilities through mentoring, recruitment, and career development initiatives

**Minimum Qualifications**

+ Bachelor’s degree in Computer Science, Mathematics, Physics, or related field; advanced degree preferred
+ 8 years of software engineering experience, with at least 5 years in an engineering leadership role
+ Proven track record of delivering complex, distributed systems in production
+ Strong understanding of **AI/ML** and/or **LLM** systems and their application in real-world products
+ Experience managing teams in fast-paced, high-growth environments
+ Strong decision-making skills and ability to balance technical depth with business priorities
+ Excellent English communication skills and ability to lead in global, multicultural environments

**Preferred Qualifications**

+ Experience scaling engineering teams and processes in enterprise environments
+ Open-source contributions or engagement in the AI/ML community
+ Familiarity with modern development practices, CI/CD, and cloud-native architectures

**Why Join Us**

+ Lead a team building **cutting-edge AI systems** with global impact
+ High-trust, high-autonomy culture with minimal bureaucracy
+ Collaborate with senior engineers and AI experts in a mission-driven environment
+ Play a central role in defining SAP’s AI strategy and delivering transformative capabilitie

#SAPAICareers #SAPAIAPP

**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 (https://one.int.sap/me@sap/jobs_and_hiring/employee_referral/region/0000/lang/en) , 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, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.

**Compensation Range Transparency** : SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity.

SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role.

The targeted combined range for this position is 192,500 - 420,000 (USD) USD.

The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc.

as determined through the selection process.

Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance.

Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits (https://www.sapnorthamericabenefits.com/en/public/welcome) .

**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 (https://jobs.sap.com/content/Ethical_usage_of_AI_in_the_recruiting_process/?locale=en_US) .

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 433541 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Management | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

Required Skill Profession

Other General


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Unlock Your Engineering Manager Potential: Insight & Career Growth Guide


Real-time Engineering Manager Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Engineering Manager in Palo Alto, United States, highlighting market share and opportunities for professionals in Engineering Manager roles.

438326 Jobs in United States
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449 Jobs in Palo Alto
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Are You Looking for Engineering Manager AI Job?

Great news! is currently hiring and seeking a Engineering Manager AI to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at SAP adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Engineering Manager AI Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Palo Alto. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Engineering Manager AI?

Key qualifications for Engineering Manager AI typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Engineering Manager AI Job Success

SAP interview tips for Engineering Manager   AI

Here are some tips to help you prepare for and ace your Engineering Manager AI job interview:

Before the Interview:

Research: Learn about the SAP's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Engineering Manager AI interview at SAP, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the SAP's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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