Senior Account Manager - Semiconductor Ecosystem

NVIDIA is hiring a Senior Account Manager - Semiconductor Ecosystem in Santa Clara, United States. It pays $224k-$357k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

On Level's scale, this sales role is Little AI ●○○○: aI is not part of the work.
Pay on this posting starts 61% higher than the typical sales posting on Level.
Level classes it as a senior role.
NVIDIA has 2,700+ other open roles on Level.

AI in this role

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Driving continued aggressive growth in our Enterprise business is a continued high priority for 2024 and beyond. In the rapidly growing world of GenAI, multi-modality has and increasingly becoming a requirement.

In addition to the Text modality, use cases demand Speech and Digital Human (or Digital Avatar) capabilities. We need a senior account manager to passionately drive these technologies in the Enterprise and win NVIDIA platform (Software + Hardware) adoption. You will drive GTM (go to market) aspects of the collaboration including but not limited to defining our GTM strategy (industry, partners), sales enablement materials, train partner and field, working with the sales account team on creating and closing pipeline opportunities and provide feedback to the product team based on customer requirements. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!

What you'll be doing:

Elevate and prioritize the most promising Semiconductor ecosystem providers based on capacity to scale, attract capital, and drive sustained sales offtake, ensuring alignment with NVIDIA's strategy.
Establish and implement the comprehensive NVIDIA Semiconductor ecosystem GTM plan involving local and global partners
Drive GTM strategy and execution for the Semiconductor ecosystem monitoring performance, identifying gaps, and recommending data-backed optimizations to enhance offtake.
Accountable for delivering incremental revenue and pipeline quarter over quarter, with the ability to close complicated business deals.
Work with internal partners to design full systems to enable the cloud business and provide continuous strategic, product, and tactical updates from HQ.
Collaborate effectively with product, sales, and partnerships teams to maintain alignment on priorities and execution.
Represent NVIDIA and at strategic industry forums and identify/drive engagement in key ecosystem events to build visibility and partnerships.
Own the event strategy, which includes evaluating, prioritizing, and supporting coverage for NVIDIA and non-NVIDIA industry events.

What we need to see:

12+ overall years of Technology Sales Leadership with a consistent record of exceeding targets.
Deep AI/ML Domain Expertise in Conversational/Enterprise AI and Foundational Models (LLMs).
Proven Success with Executive Relationships including forming strategic partnerships and leading complex deals in matrixed environments.
Mastery of Solution Architecture and Strategy including developing and driving joint sales models and Go-to-Market (GTM) strategies.
Expert Knowledge of the AI Customer Journey and adoption trends in Cloud technologies.
5+ years of experience in Sales/People Leadership, including the ability to recruit, empower, and manage sales teams.
Relevant Technical Degree in Engineering (or equivalent experience); Master's/MBA highly desirable.
Ability to Travel up to 50% for global engagements and partnership development.

Ways to stand out from the crowd:

Track record of successfully growing revenue for new, innovative technology-based solutions, demonstrating deep experience in Conversational AI.
Proven knowledge of pricing strategies, channel economics, and influencing business practices and products to better align with customer needs.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you

Your cash compensation will be determined based on your location, experience, and other objective job-related factors, with 85% paid through base salary and 15% through variable compensation. The expected cash compensation range for this position is 224,000 USD – 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

How we rate this

Senior Account Manager - Semiconductor Ecosystem at NVIDIA rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.