NVIDIA’s DGX Cloud team helps some of the most advanced AI builders in the world move from idea to production faster. This Customer Success Manager role sits close to internal customers and acts as a strategic partner across onboarding, adoption, workload performance, and long-term platform success. The work is part customer success, part technical consulting, and part operational problem-solving, making it a strong fit for candidates who enjoy translating complex infrastructure into practical outcomes.
Customer Success Managers are typically most effective when they help customers achieve value quickly, build long-term trust, and bring customer insights back into the business to improve the product experience. This role is especially compelling because it combines customer partnership with cloud architecture, AI infrastructure, and resource planning in an environment where the work directly shapes how NVIDIA teams build and scale. Clear, familiar job titles and concise qualification lists also improve job-posting effectiveness and help attract the right candidates.gainsight
What you’ll be doing:
Partner with internal customers across the full lifecycle of their DGX Cloud usage, helping teams adopt the platform, remove blockers, and get faster time to value.zendesk
Translate workload, business, and technical requirements into scalable recommendations across compute, networking, storage, and cloud environments.
Turn repeat customer needs into reusable playbooks, tooling, dashboards, and operating patterns that improve adoption and reduce friction.gainsight
Work across Engineering, Product, Operations, and Finance to surface customer insights, influence roadmap decisions, and improve infrastructure planning and GPU resource efficiency.gainsight+1
Guide customers through architecture reviews, performance tuning, and cloud portability decisions for AI and machine learning workloads.
Use data, usage signals, and operational trends to identify risks, spot opportunities, and improve how DGX Cloud supports current and future demand.zendesk
Contribute lightweight automation or code when needed to accelerate delivery and improve day-to-day operations.
What we need to see:
BS or MS in Computer Science, Engineering, or a related field, or equivalent experience.
12+ years of experience in customer success, solutions architecture, cloud engineering, technical account management, or a similar customer-facing infrastructure role.
Strong hands-on knowledge of cloud infrastructure, including compute, networking, storage, and deployment patterns across public cloud and on-prem environments.
Experience working with distributed systems, Kubernetes, schedulers, or large-scale platform infrastructure.
Ability to translate customer goals into technical solutions and influence cross-functional teams through strong written and verbal communication.gainsight
Experience using data, operational signals, or customer feedback to drive decisions, improve adoption, and shape better workflows or product outcomes.zendesk
Working knowledge of at least one programming or scripting language such as Python, Go, or shell scripting.
Track record of operating effectively in fast-moving or ambiguous environments and driving issues through resolution.
Ways to stand out from the crowd:
Experience supporting AI, ML, or HPC workloads in cloud or hybrid environments.
Background in GPU capacity planning, performance optimization, or infrastructure utilization.
Experience building automations, internal tools, or agentic workflows that improve customer operations at scale.gainsight
Strong executive communication skills, including the ability to present recommendations, trade-offs, and roadmap inputs clearly.
History of turning customer pain points into repeatable processes, product improvements, or measurable operational gains.
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us.
#LI-Remote
You will also be eligible for equity and benefits.
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.Skills Required
- BS or MS in Computer Science, Engineering, or related field, or equivalent experience
- 12+ years experience in customer success, solutions architecture, cloud engineering, technical account management, or similar customer-facing infrastructure role
- Strong hands-on knowledge of cloud infrastructure including compute, networking, storage, and deployment patterns across public cloud and on-prem environments
- Experience working with distributed systems, Kubernetes, schedulers, or large-scale platform infrastructure
- Ability to translate customer goals into technical solutions and influence cross-functional teams through strong written and verbal communication
- Experience using data, operational signals, or customer feedback to drive decisions and improve adoption
- Working knowledge of at least one programming or scripting language such as Python, Go, or shell scripting
- Track record of operating effectively in fast-moving or ambiguous environments and driving issues through resolution
- Experience supporting AI, ML, or HPC workloads in cloud or hybrid environments
- Background in GPU capacity planning, performance optimization, or infrastructure utilization
- Experience building automations, internal tools, or agentic workflows that improve customer operations at scale
- Strong executive communication skills, including presenting recommendations, trade-offs, and roadmap inputs
- History of turning customer pain points into repeatable processes, product improvements, or measurable operational gains
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
