Job Summary
Roles and Responsibilities
- Build and maintain strong relationships with NVIDIA stakeholders (sales, partner teams, solution architects)
- Drive pipeline creation and revenue through joint opportunities and co-selling initiatives
- Identify new opportunities across AI/ML, GenAI, data platforms, HPC, and digital twin (Omniverse) use cases
- Execute joint GTM initiatives such as campaigns, events, workshops, and solution showcases
- Enable internal sales and pre-sales teams on NVIDIA offerings (AI Enterprise, DGX, GPUs, CUDA ecosystem)
- Collaborate with delivery teams to align NVIDIA solutions with client requirements and ensure successful execution
- Track and report alliance pipeline, revenue, and performance metrics
- Manage NVIDIA partner program requirements including certifications and competencies
- Leverage partner funding programs, incentives, and co-investment opportunities
- Drive governance cadence (weekly reviews, QBRs, executive updates) with internal and NVIDIA stakeholders
- Act as escalation point for alliance-related issues and ensure smooth coordination
Key Responsibilities
Skills & Experience
- 8–15 years of experience in alliance management, partner management, or business development
- Strong understanding of NVIDIA ecosystem (GPUs, AI/ML, GenAI, Omniverse, HPC, CUDA)
- Experience working with technology partners or hyperscalers (NVIDIA, AWS, Azure, GCP)
- Proven ability to drive pipeline, revenue growth, and joint sales motions
- Strong knowledge of enterprise technology landscape (AI, data, cloud, digital transformation)
- Experience in program management, reporting, and governance
Skill Requirements
Other Skills
- Strong stakeholder management and relationship-building capabilities
- Excellent communication, presentation, and executive engagement skills
- Commercial mindset with focus on revenue and business outcomes
- Ability to work in a matrix organization and manage cross-functional teams
- Strong problem-solving, negotiation, and influencing skills
- Adaptability to fast-paced and evolving technology ecosystem
- Preferred: MBA or equivalent qualification
- Preferred: Exposure to AI/GenAI-driven business solutions
Other Requirements
2. Unix/Linux Certification (optional)