Field Technologist - Enterprise AI Factory

NVIDIA•Santa Clara, CA
•$224,000 - $396,750

About The Position

NVIDIA is seeking a technical sales leader to drive its Data Center AI Factory business and bring AI Factory solutions to enterprise customers. The role aligns technical sales with product strategy and capabilities for NVIDIA AI Factory solutions for the Accelerated Datacenter. It requires developing expertise in NVIDIA go-to-market strategies, competitors, and the market landscape, while building relationships with customers and collaborating across account teams, solution architecture, marketing, product, partner sales, ISVs, and resellers. The Field Technologist contributes to revenue growth and works with teams to manage opportunities, promote solutions, develop sales strategies and actions, and provide training. The role also drives strategic technical customer engagements to establish Lighthouse Accounts for key products and vertical markets, including public case studies and testimonials. In partnership with Industry Business Development, the position coordinates packaging and go-to-market plans for key verticals and provides customer and sales feedback to guide product roadmaps and priorities. Customer discussions may cover operating environments, operating system choices, provisioning, orchestration, containerization, framework choices, and security. The posting lists cash compensation ranges of $224,000–$356,500 for Level 5 and $248,000–$396,750 for Level 6. Compensation is determined by location, experience, and other objective job-related factors, with 85% paid as base salary and 15% as variable compensation. The position is also eligible for equity and benefits.

Requirements

  • Bachelor’s degree or equivalent experience.
  • 12+ years of overall experience.
  • Proactive, creative, and flexible approach, with good judgment and the ability to complete tasks on schedule with minimal direction and supervision.

Nice To Haves

  • Eight or more years of knowledge, standard methodologies, and experience with modern HPC/AI networking and/or GPU application acceleration.
  • Familiarity with modern AI computing techniques and software, and the ability to scale technical knowledge to serve demanding technology companies.
  • Experience building and implementing a sophisticated technical sales strategy across multiple organizations.
  • Passion for NVIDIA, graphics, HPC, and AI.
  • Confirmed knowledge of influencing business practices and products to better align with customer needs.
  • Experience selling sophisticated customer solutions and AI full-stack solutions, with a record of success.
  • Experience qualifying new customers to enable revenue opportunities, product alignment, and identification of decision makers.
  • A strong technical foundation to establish credibility with customers and/or partners.

Responsibilities

  • Align technical sales with product strategy and capabilities for NVIDIA AI Factory solutions for the Accelerated Datacenter.
  • Develop and maintain in-depth knowledge of NVIDIA go-to-market strategies, competitors, and the market landscape, personally and across the team.
  • Engage customers and develop deep customer relationships, collaborating with account teams, solution architects, marketing, product, partner sales, ISVs, and resellers.
  • Contribute to and be responsible for revenue growth.
  • Build effective collaborations for revenue-generating opportunity management, promotions, sales strategies and actions, and training.
  • Drive strategic technical customer engagements to establish Lighthouse Accounts for key products and vertical markets, including public case studies and testimonials.
  • Coordinate with Industry Business Development on packaging and go-to-market plans for key verticals.
  • Provide sales and Lighthouse Account feedback to inform product roadmaps and priorities and guide product strategy through technical customer engagements.
  • Engage customers on their operating environments, including operating system choices, provisioning, orchestration, containerization methodologies, framework choices, and security.

Benefits

  • Equity
  • Benefits
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