Nvidia Senior AI Instructor Sales 

United Kingdom, Scotland 

144809713

What you’ll be doing:

• Conduct face-to-face and remote training sessions for NVIDIA’s customers and partners, with a willingness to travel up to 75% as required.

• Develop training materials based on NVIDIA's innovative AI and data center technologies and sales motions.

• Collaborate with internal and external subject matter experts (SMEs) to draft course proposals aligned with market trends and customers'requirements.

• Recruit and train internal team members to deliver specific sessions of workshops.

• Collaborate with SMEs to integrate key features of NVIDIA solutions into project-based learningexperiences.

• Develop instructor delivery notes, certification criteria, and assessmentmaterials.

• Participate in internal test deliveries to ensure high-quality learning experiences. Actively seek feedback from students, and industry partners to enhance course content.

What we need to see:

• Proficiency in delivering training and presentations, with the ability to effectively communicate technical concepts to partneraudiences.

• Demonstrated ability to manage the buyer's journey and recommend accelerated computing solutions. Familiarity with tools such as SLURM, Kubernetes, Docker containers, Git, Python, CUDA, RAPIDS, and cloud service providers (AWS, Azure, GCP) is essential.

• A bachelor's degree in computer science, mathematics, engineering, or an equivalent level of expertise andexperience.

• Minimum 8 years of field experience, with at least 5 years in data center-related technologies supporting AI such as storage, networking, or acceleratedcomputing.Training delivery experience is required.

• Strong communication, interpersonal, and writing skills in English.

• Ability to work multi-functionally across different levels of a matrixedorganization.

Ways to stand out from the crowd:

• Experience in delivering and developing in-depth training for sellingaudiences.

• Proven experience in Sales roles.

• A master's degree in business, computer science, mathematics, engineering, or an equivalent level of expertise and experience.