Full-Time
DGX Cloud Sales Operations Lead
Posted on 5/15/2025
NVIDIA
10,001+ employees
Designs GPUs and AI HPC platforms
Compensation Overview
$128k - $253k/yr
Company Historically Provides H1B Sponsorship
Santa Clara, CA, USA
Remote
 Sales & Account Management (1) |
|---|
- BA/BS degree (or equivalent experience)
- 8+ years of sales strategy / operations experience
- Knowledge of semiconductor industry and experience in supply chain management.
- Proficiency in sales data / financial analysis and reporting (SFDC, Tableau, PowerBI etc.) and business analytical thinking skills.
- Excellent problem-solving skills; ability to strategize and operationalize processes; curiosity
- Excellent communication, interpersonal, and presentation skills.
- Ability to effectively collaborate with cross-functional teams and senior leadership.
- Attention to detail and accuracy. Ability to prioritize numerous tasks in a fast-paced environment.
- Lead the sales operations cadence for DGX Cloud including sales forecasting, pipeline management and capacity analysis.
- Work closely with business development, product, and sales leadership to manage, analyze and build a pipeline to grow cloud revenue.
- Drive data-driven analysis to derive at insights to support strategy business decisions
- Communicate of findings to leadership and to the broader organization by preparing polished presentations and identifying key takeaways.
- Contribute to the development and improvement of sales operations processes to streamline workflows.
- Drive strategic and operational initiatives.
- Responsible for weekly cadence, weekly forecast, monthly JFF, quarterly regional QBI and Regional MTQ operations specific for DGX Cloud.
- High level of ownership, accountability, seek new initiative. Effective collaboration and communication, both written and oral, skills
- Experience supporting sales operations at Cloud Service Providers and understanding of their field sales organization and GTM ecosystem
NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.
Company Size
10,001+
Company Stage
IPO
Headquarters
Santa Clara, California
Founded
1993
Simplify's Take
What believers are saying
- Hyperscaler AI capex keeps expanding, driving orders from Microsoft, Amazon, Google, Meta.
- Nvidia's $80 billion buyback and higher dividend signal massive free-cash-generation capacity.
- Robotaxis and physical AI widen demand beyond data centers by 2028.
What critics are saying
- Microsoft, Amazon, Google, and Meta already drive roughly half of data-center revenue.
- US-China approvals gate H200 shipments, threatening China revenue and CUDA adoption.
- Custom chips from Amazon and Alphabet attack Nvidia's margins and share.
What makes NVIDIA unique
- CUDA locks developers into Nvidia's software and hardware ecosystem.
- Blackwell and Vera extend Nvidia from GPUs into full AI infrastructure.
- Networking revenue reached a $60 billion annualized run rate in May 2026.
Help us improve and share your feedback! Did you find this helpful?
Your Connections
People at NVIDIA who can refer or advise you
Benefits
Company Equity
401(k) Company Match
Growth & Insights and Company News
6 month growth
↓ -1%1 year growth
↓ -3%2 year growth
↓ -2%With funding led by Radical Ventures, Decart is building the infrastructure layer for the next generation of low-latency AI systems, through three product lines: DOS, an ultra-optimized inference and training stack that enables agents and reasoning models to run smarter and faster; and the models Lucy, its World Model for Immersive Experiences; and Oasis, its World Model for Physical AI – both powered by DOS. Today, we’re also announcing DOS 2.0, with new versions of Lucy and Oasis launching in the coming weeks.
Matlantis has integrated NVIDIA's ALCHEMI Toolkit into its materials simulation platform to accelerate industrial materials discovery. The company previously incorporated NVIDIA Warp-optimised kernels, achieving up to 10x speed improvements in atomistic calculations. The integration includes LightPFP, Matlantis' lightweight potential for large-scale simulations, which uses a server-based architecture with NVIDIA ALCHEMI Toolkit-Ops to reduce communication bottlenecks. Matlantis plans to integrate its flagship Universal Machine-Learning Interatomic Potential with the toolkit to further enhance GPU efficiency. Launched in 2021, Matlantis is a cloud-based atomistic simulator jointly developed by PFN and ENEOS. The platform uses deep learning to increase simulation speeds by tens of thousands of times and serves over 150 companies discovering materials including catalysts, batteries and semiconductors.
Nvidia shares have climbed 18% over a ten-day winning streak, the longest since 2023. The stock is trading about 8% below its October all-time high of $212.19. CEO Jensen Huang revealed at last month's GTC conference that Nvidia has over $1 trillion in GPU orders through 2027, including Blackwell and next-generation Vera Rubin chips. Data centre revenue surged 75% year-over-year and now comprises 88% of the business, a dramatic shift from five years ago when gaming dominated. The rally follows major deals including Meta's February commitment to deploy millions of Nvidia chips across its global data centres. On Monday, Nvidia denied rumours it was pursuing acquisitions of PC makers Dell or HP. The company also unveiled Ising, a new family of open-source models for quantum computing.
D-Wave Quantum CEO Alan Baratz claims quantum computing poses a threat to Nvidia, citing superior energy efficiency. Speaking at the Semafor World Economy Summit, Baratz said D-Wave's quantum computer uses just 10 kilowatts of power—equivalent to five or 10 GPUs—whilst solving problems that would take GPU systems nearly a million years. D-Wave shares rose nearly 16% on Tuesday, part of a 140% gain over the past year. The company reported $2.75 million in Q4 revenue, missing analyst estimates, but bookings surged 471% to $13.4 million. The $5.3 billion company recently secured a $20 million agreement with Florida Atlantic University and acquired Quantum Circuits for $550 million. However, quantum machines remain specialised tools, unable to run large language models that drive Nvidia's dominance.
Vertiv Holdings has been reaffirmed with a Buy rating by Evercore ISI, setting a price target of $280, whilst Barclays raised its target from $281 to $300 with an Overweight rating. The electrical equipment company is partnering with Nvidia on AI infrastructure development. On 16th March, Nvidia introduced its Vera Rubin DSX AI Factory reference design, with Vertiv providing critical power and cooling solutions for AI data centres. The partnership integrates Vertiv's infrastructure expertise with Nvidia's AI systems to enhance energy efficiency and performance. Vertiv is developing Vertiv OneCore Rubin DSX, a prefabricated system designed to accelerate AI factory deployment. The Brussels-headquartered company specialises in critical digital infrastructure technologies for data centres and communication networks.