π Core Information
πΉ Job Title: Senior Strategic Partnerships Manager, EPG
πΉ Company: NVIDIA
πΉ Location: Santa Clara, California, United States
πΉ Job Type: Full-Time, Hybrid
πΉ Category: Enterprise Product Group (EPG)
πΉ Date Posted: June 25, 2025
πΉ Experience Level: 12+ years, including 5+ years in product and technology business development
πΉ Remote Status: On-site (Hybrid)
π Job Overview
Key aspects of this role include:
- Identifying, sourcing, and building strategic partnerships to drive NVIDIA's enterprise AI offerings
- Leading cross-functional teams to ensure success across various departments
- Developing solutions that meet customer and partner needs
- Collaborating with sales, marketing, and product teams to bring new services and products to market
- Working with strategic partners to craft differentiated software solutions and unique value propositions
ASSUMPTION: This role requires a strong understanding of AI, machine learning, and cloud services, as well as experience working with popular database and storage solutions.
π Key Responsibilities
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Identify, source, recruit, build, launch, and promote strategic partnerships driving NVIDIA software, hardware, and services offerings
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Lead cross-functional teams as the NVIDIA PIC to ensure success across engineering, product management, solutions architects, marketing, legal, business development, and ecosystem teams
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Find opportunities to integrate NVIDIA offerings and craft differentiated software solutions, unique value propositions, and effective co-selling motion for joint customers
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Work closely with strategic partners to build a GTM plan for the partnership to drive mutual success, including revenue
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Partner with sales, product managers, marketing, and other teams to build insight into specific channels and market segments for leading partnerships
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Work with NVIDIA product and engineering teams to develop solutions that address the needs of customers and partners
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Form relationships with channel and OEM partners, build a solid understanding of their ecosystem and technical solution, the value NVIDIA enterprise software products add to their business and solution, and challenges in growing business with them
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Articulate the end-to-end ecosystem in specific segments and/or partners, the problem our customer and partners need to solve and their challenges, and the role and value of our products
ASSUMPTION: This role requires strong analytical, marketing, and project management skills, as well as the ability to speak with and present to developers, customers, partners, and senior business executives, including C-suite leaders.
π― Required Qualifications
Education: Bachelorβs Degree in technology or equivalent experience
Experience: 12+ years of work experience, including 5+ years in product and technology business development or alliance work with major technology companies and innovative start-ups
Required Skills:
- Proven success in building and leading end-to-end partnerships, including solution definition, business case, partnership agreements, value proposition, sales enablement, and joint marketing
- Ability to drive technical engagement and product collaboration with strategic startups and enterprise companies to support partners' technology, product, and solution development with NVIDIA Generative AI offerings, including LLMs, LVMs, VLMs, and emerging trends
- Strong analytical, marketing, and project management skills β a drive for results and a history of successful execution on projects
- Excellent written and verbal communication skills, with a proven track record of speaking with and presenting to developers, customers, partners, and senior business executives, including C-suite leaders
- Experienced strategic problem solver, capable of articulating considerations in foundational technical and business decisions and ability to structure and negotiate complex agreements, including interpreting legal documents and working with attorneys to complete agreements
- Ability to collaborate and influence cross-functional teams without formal authority with external partners and internal cross-functional teams at all levels
Preferred Skills:
- MBA, MS, or PhD in computer science, electrical engineering, or similar field
- Experience with AWS, Google Cloud Services, or Azure
- Solid understanding of machine learning, deep learning, high-performance computing
- Current knowledge of the Gen AI ecosystem and the key players. Familiarity with Accelerated computing (GPUβs), LLMβs, RAG pipelines, etc., and the dynamics driving this phase shift
ASSUMPTION: While not explicitly stated, having experience in the tech industry, particularly with cloud services, enterprise software, and AI, would be highly beneficial for this role.
π° Compensation & Benefits
Salary Range: 224,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
Benefits:
- Equity
- Benefits (see here for details)
Working Hours: Full-time, with a hybrid work arrangement (on-site and remote work)
ASSUMPTION: The salary range provided is an estimate based on industry standards for similar roles and experience levels. The actual salary may vary based on the candidate's location, experience, and the company's internal pay structure.
π Applicant Insights
π Company Context
Industry: NVIDIA operates in the computer hardware manufacturing industry, focusing on accelerated computing, AI, and graphics processing units (GPUs).
Company Size: NVIDIA is a large company with over 10,000 employees, providing ample opportunities for collaboration and growth.
Founded: NVIDIA was founded in 1993 and has since become a pioneer in accelerated computing, with a strong focus on AI and machine learning.
Company Description:
- NVIDIA is a full-stack computing company that has been a pioneer in accelerated computing since its founding in 1993
- The company's invention of the GPU in 1999 sparked the growth of the PC gaming market and redefined computer graphics
- NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry
Company Specialties:
- GPU-accelerated computing
- Artificial intelligence
- Deep learning
- Virtual reality
- Gaming
- Self-driving cars
- Supercomputing
- Robotics
- Virtualization
- Parallel computing
- Professional graphics
- Automotive technology
Company Website: http://www.nvidia.com
ASSUMPTION: NVIDIA's large size and extensive expertise in AI and accelerated computing make it an attractive employer for professionals seeking to work in these fields.
π Role Analysis
Career Level: This role is at the senior management level, requiring a high degree of expertise and experience in strategic partnerships and product management.
Reporting Structure: The Senior Strategic Partnerships Manager, EPG, will likely report to the Vice President of Enterprise Product Group (EPG) or a similar role.
Work Arrangement: This role has a hybrid work arrangement, with a mix of on-site and remote work.
Growth Opportunities:
- Potential to advance to a Vice President or Director role within the Enterprise Product Group (EPG)
- Opportunities to work on cutting-edge AI and machine learning technologies
- Chance to collaborate with and learn from industry experts in various fields
ASSUMPTION: Given NVIDIA's focus on AI and accelerated computing, this role offers significant opportunities for professional growth and development in these areas.
π Location & Work Environment
Office Type: NVIDIA's headquarters is a modern, collaborative workspace designed to foster innovation and creativity.
Office Location(s): 2701 San Tomas Expressway, Santa Clara, CA 95050, US
Geographic Context:
- Santa Clara is located in the heart of Silicon Valley, providing ample opportunities for networking and professional growth
- The area offers a diverse range of housing options, cultural attractions, and recreational activities
- Santa Clara has a Mediterranean climate, with mild winters and warm, dry summers
Work Schedule: Full-time, with a hybrid work arrangement (on-site and remote work)
ASSUMPTION: Working in Santa Clara, California, provides easy access to the vibrant tech industry and a high quality of life.
πΌ Interview & Application Insights
Typical Process:
- Online application submission
- Phone or video screen with a recruiter or HR representative
- Technical interview with a team member or manager
- On-site or virtual interview with the hiring manager and other team members
- Final decision and offer
Key Assessment Areas:
- Technical expertise in AI, machine learning, and cloud services
- Strategic thinking and problem-solving skills
- Communication and presentation skills
- Collaboration and teamwork abilities
- Cultural fit with NVIDIA's values and work environment
Application Tips:
- Tailor your resume and cover letter to highlight your relevant experience and skills for this role
- Be prepared to discuss your experience with strategic partnerships, product management, and AI technologies
- Research NVIDIA's products, services, and competition to demonstrate your understanding of the industry
- Prepare questions to ask the interviewer about the role, team, or company to show your interest and engagement
ATS Keywords: Strategic Partnerships, Product Management, Cloud Services, AI, Machine Learning, Business Development, Marketing, Sales, Collaboration, Problem Solving, Negotiation, Cross-Functional Teams
ASSUMPTION: NVIDIA's interview process is designed to assess the candidate's technical expertise, strategic thinking, and cultural fit with the company's values and work environment.
π οΈ Tools & Technologies
- Microsoft Office Suite (Word, Excel, PowerPoint)
- Project management tools (e.g., Asana, Jira, Trello)
- Cloud services platforms (e.g., AWS, Google Cloud, Azure)
- AI and machine learning tools (e.g., TensorFlow, PyTorch, scikit-learn)
- Database and storage solutions (e.g., Oracle, MongoDB, Cassandra, BigQuery)
ASSUMPTION: The specific tools and technologies required for this role may vary depending on the projects and partnerships the candidate works on.
π Cultural Fit Considerations
Company Values:
- Innovation
- Customer Focus
- One NVIDIA
- Execution
- Perseverance
- Ownership
- Integrity
Work Style:
- Collaborative and team-oriented
- Fast-paced and dynamic
- Results-driven and focused on execution
- Adaptable and open to change
Self-Assessment Questions:
- How do you align with NVIDIA's core values, and can you provide an example of how you've demonstrated these values in your previous roles?
- How comfortable are you working in a fast-paced, dynamic environment, and how do you adapt to change?
- How do you approach collaboration and teamwork, and can you provide an example of a successful cross-functional project you've led or contributed to?
ASSUMPTION: NVIDIA's culture values innovation, customer focus, and collaboration, making it an attractive employer for professionals who thrive in dynamic, team-oriented environments.
β οΈ Potential Challenges
- Managing multiple strategic partnerships simultaneously, requiring strong organizational skills and prioritization
- Navigating complex legal and business agreements, necessitating strong negotiation and problem-solving skills
- Balancing the needs and priorities of internal teams and external partners, requiring excellent communication and collaboration skills
- Keeping up with the rapidly evolving AI and machine learning landscape, demanding continuous learning and adaptation
ASSUMPTION: These challenges are inherent to strategic partnerships roles and can be overcome with strong skills, experience, and a proactive approach.
π Similar Roles Comparison
- This role differs from other strategic partnerships positions in its focus on enterprise AI partnerships and collaboration with NVIDIA's Enterprise Product Group (EPG)
- Industry-specific context: NVIDIA's expertise in AI and accelerated computing sets it apart from other companies in the tech industry
- Career path comparison: This role offers opportunities for growth within NVIDIA's Enterprise Product Group (EPG) and potentially across other departments within the company
ASSUMPTION: This role is unique in its focus on enterprise AI partnerships and collaboration with NVIDIA's Enterprise Product Group (EPG), providing a distinct opportunity for professionals in this field.
π Sample Projects
- Developing a joint go-to-market strategy with a strategic partner to drive mutual revenue growth
- Collaborating with a partner's product and engineering teams to integrate NVIDIA's AI offerings into their solutions
- Negotiating complex partnership agreements to ensure mutual success and protect both parties' interests
ASSUMPTION: These sample projects illustrate the strategic, collaborative, and problem-solving aspects of this role, highlighting the candidate's ability to drive success in strategic partnerships.
β Key Questions to Ask During Interview
- Can you describe the current strategic partnerships landscape within NVIDIA's Enterprise Product Group (EPG), and how this role will contribute to its growth and success?
- How does NVIDIA support the professional development and growth of its strategic partnerships team members?
- Can you provide an example of a successful strategic partnership at NVIDIA, and what factors contributed to its success?
- How does NVIDIA approach collaboration and communication with external partners and internal teams to ensure alignment and success?
- What are the most significant challenges facing NVIDIA's strategic partnerships efforts in the next 1-2 years, and how can this role help address them?
ASSUMPTION: Asking these questions demonstrates the candidate's interest in the role, team, and company, as well as their strategic thinking and problem-solving skills.
π Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight your relevant experience and skills for this role
- Prepare for your interview by researching NVIDIA's products, services, and competition, as well as the role's responsibilities and required qualifications
- Prepare questions to ask the interviewer about the role, team, or company to show your interest and engagement
- Follow up with the recruiter or hiring manager after your interview to express your appreciation and reiterate your interest in the role
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.