
10,000+ employees
Founded 1993
đĽ Healthcare
đ Manufacturing
đ¤ Artificial Intelligence
Healthcare ⢠Manufacturing ⢠Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
đĽ 0 minutes ago
đŹđ§ United Kingdom â Remote
â° Full Time
đ Senior
đ Customer Success
đŹđ§ UK Skilled Worker Visa Sponsor
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10,000+ employees
Founded 1993
đĽ Healthcare
đ Manufacturing
đ¤ Artificial Intelligence
Healthcare ⢠Manufacturing ⢠Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
⢠Integrate customers by assisting with license registration, entitlement activation, support access, and initial value planning ⢠Conduct needs assessments to align customer workloads with NVIDIA software libraries, frameworks, reference architectures, and platform capabilities ⢠Collaboratively define and track success metrics tied to business outcomes, workload performance, adoption health, and renewal readiness ⢠Promote adoption and growth across NVIDIA AI Enterprise, Run:ai, Mission Control, NIM, NeMo, NVIDIA Agent Toolkit, CUDA-X libraries, DGX OS, Omniverse/Physical AI, vGPU, and associated software ⢠Coordinate field teams, solution architects, support, product, engineering, partners, and customer collaborators to remove adoption blockers and accelerate time to value ⢠Lead customer health reviews and executive readouts that connect technical adoption to measurable customer outcomes ⢠Capture repeatable adoption patterns and customer feedback to improve enablement, support quality, and the overall customer experience
⢠Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related technical field, or equivalent experience ⢠At least 8+ years working in customer success, technical account management, solution architecture, professional services, support leadership, or enterprise software deployment ⢠Customer-first approach with a genuine passion for helping customers achieve their goals and delivering outstanding experiences ⢠Technical curiosity and agility, with eagerness to learn emerging AI technologies and stay current in a rapidly evolving landscape ⢠Strong technical foundation across AI/ML concepts, accelerated computing workloads, cloud/on-prem infrastructure, and NVIDIA software ⢠Consultative engagement skills, with the ability to translate complex technical capabilities into clear business value for diverse collaborators ⢠Experience managing complex customer relationships across technical users, business owners, executives, partners, and support teams ⢠Strategic perspective gained from experience in AI, accelerated computing, high-performance computing, cloud, or enterprise software settings ⢠Active listening and discovery skills that uncover the customer's platform, difficulties, operating model, and strategic objectives ⢠Ability to rapidly assimilate complex customer environments and map their challenges to practical NVIDIA platform recommendations ⢠Strength in simplifying complex technical architectures into clear, actionable mentorship for technical and non-technical audiences ⢠Visible passion for AI innovation and proficiency in accelerated computing, enterprise AI, and modern software adoption patterns ⢠Proven success in a customer-facing technical role such as Solutions Architect, Technical Account Manager, Customer Engineer, Customer Success Manager, or similar
⢠Highly competitive salaries ⢠Comprehensive benefits package
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