Used Tools & Technologies
Not specified
Required Skills & Competences ?
Marketing @ 4 MySQL @ 4 Redis @ 4 SQL @ 4 NoSQL @ 4 Machine Learning @ 4 AWS @ 4 Azure @ 4 Communication @ 4 MongoDB @ 4 PostgreSQL @ 4 Product Management @ 4 Project Management @ 7 Oracle @ 4 Cassandra @ 4Details
NVIDIA's accelerated computing platform has transformed data center computing and fuels the modern artificial intelligence revolution, deployed widely in enterprise, cloud, and supercomputers. The NVIDIA Enterprise Product Group (EPG) is building enterprise AI partnerships and seeks a high-energy strategic partnership professional with experience collaborating closely with product teams to expand the strategic partner ecosystem.
Responsibilities
- Identify, source, recruit, build, launch, and promote mutually effective strategic partnerships around NVIDIA software, hardware, and services.
- Lead cross-functional teams including engineering, product management, solutions architects, marketing, legal, business development, and ecosystem teams as the NVIDIA PIC (pilot in command).
- Integrate NVIDIA offerings and create differentiated software solutions, unique value propositions, and effective joint sales motions.
- Develop go-to-market plans for partnerships, driving joint revenue and success.
- Collaborate with sales, product managers, marketing, and other teams to gain insights into channels and market segments.
- Work with NVIDIA product and engineering teams to develop customer- and partner-focused solutions.
- Build relationships with channel and OEM partners to understand their ecosystems, technical solutions, and the value added by NVIDIA enterprise software products.
- Clearly articulate ecosystem challenges and the role/value of NVIDIA products.
Requirements
- 12+ years experience including 5+ years in product and technology business development or alliances with major technology companies or startups.
- Bachelor's degree in technology or equivalent experience.
- Experience with popular database and storage solutions (relational: Oracle, PostgreSQL, MySQL; NoSQL: MongoDB, Redis, Cassandra; cloud: Azure SQL, RDS, Cloud SQL; modern: BigQuery, Spanner, Cockroach, etc.; vector DBs: Pinecone, Milvus, Weaviate, etc.).
- Proven success in building and leading end-to-end partnerships including solution definition, business cases, agreements, sales enablement, and marketing.
- Ability to drive technical engagement and product collaboration in NVIDIA Generative AI offerings including LLMs, LVMs, VLMs.
- Strong analytical, marketing, and project management skills with a history of successful execution.
- Excellent written and verbal communication skills; experience presenting to developers, customers, partners, and senior business executives including C-suite.
- Skilled strategic problem solver with ability to negotiate complex agreements.
- Ability to collaborate and influence cross-functional teams and external partners at all levels.
Ways to stand out
- MBA, MS or PhD in computer science, electrical engineering or related field.
- Experience with AWS, Google Cloud Services, or Azure.
- Solid understanding of machine learning, deep learning, high-performance computing.
- Current knowledge of Generative AI ecosystem, accelerated computing (GPUs), LLMs, RAG pipelines, and dynamics of this technology phase.
Benefits
- Base salary range: 224,000 USD - 356,500 USD (based on location, experience and comparable pay).
- Equity and benefits as per NVIDIA policies.
NVIDIA strives for a diverse work environment and is an equal opportunity employer valuing diversity and inclusion.