Senior Account Manager, AI Natives, Startups and Scaleups

Posted 7 Days Ago
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Tel Aviv, ISR
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead NVIDIA’s engagement with AI-native startups, scaleups, and labs. Understand customer needs, develop technology adoption strategies, coordinate technical and business resources, cultivate partner ecosystems, identify emerging use cases, and drive demand for NVIDIA AI platforms. Build customer references and case studies, represent NVIDIA at industry events, and collaborate with engineering, sales, marketing, developer relations, solution architecture, and business development teams.
Summary Generated by Built In

Join NVIDIA as a Senior Account Manager - AI Natives, Startups / Scaleups where you'll be part of a team encouraging innovation in accelerated computing! This role is pivotal to advance NVIDIA’s connections with the next generation of AI-native startups and scaleups, speeding up their progress using NVIDIA AI technology. If you’re passionate about making a lasting impact and thrive in an encouraging environment, this opportunity is for you!

 

What you’ll be doing:

  • Engage AI Natives startups, scaleups, and labs to understand their goals, strategies, and technical and business needs. Help define and deliver high-value solutions that meet these needs.

  • Act as ambassador for AI native companies across extended ecosystems, including developer communities, cloud partners, solution providers, and enterprises.

  • Partner with Developer Relations, Solution Architects, Business Development, engineering, and go-to-market channels across regions to drive demand for our AI platforms. Codify the customer value proposition.

  • Lead a virtual team of technical, business, and marketing resources across NVIDIA and our business partners to drive mutual success.

  • Build partner and customer references and case studies.

  • Watch for and develop emerging use cases to help cultivate new opportunities.

  • Attend industry events to represent NVIDIA and recruit and engage the ecosystem.

What we need to see:

  • Bachelor’s degree or equivalent experience from a leading University, Master’s/MBA or meaningful experience.

  • 8+ years of significant work experience, inclusive of AI Natives, startup, scaleup, labs ecosystem.

  • Quantify the market opportunity, craft a strategy, define initiatives and outcomes, and orchestrate resources to achieve those outcomes. Ability to analyze and segment market opportunities and develop strategic business plans around them.

  • Deep knowledge of AI industry business development and driving adoption and growth of technology-based solutions in the space of generative and agentic AI.

  • Excellent written, verbal, and presentation communication skills are crucial. Work comfortably across all major internal functional areas (engineering, sales, marketing, executives), as well as external partners, customers, and content developers.

  • Understanding of NVIDIA's full stack architecture across software, servers, and cloud.

 

Ways to stand out from the crowd:

  • Deep contact network within existing and emerging AI Natives startup and research communities.

  • Good knowledge of the extended regional AI ecosystem.

  • Machine learning, data analytics, and artificial intelligence experience preferred.

  • Innovative and creative flair, yet able to follow operational processes within the field.

We are an equal opportunity employer and value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability. We provide reasonable accommodations for individuals with disabilities during the application process and employment.

Skills Required

  • Bachelor’s degree or equivalent experience
  • Master’s degree, MBA, or meaningful equivalent experience
  • 8+ years of significant work experience involving AI-native companies, startups, scaleups, or labs
  • Ability to quantify market opportunities, develop strategic business plans, define initiatives and outcomes, and coordinate resources
  • Deep knowledge of AI industry business development and technology adoption and growth
  • Experience with generative AI and agentic AI
  • Excellent written, verbal, and presentation communication skills
  • Ability to collaborate across engineering, sales, marketing, executive, partner, customer, and content-development teams
  • Understanding of NVIDIA’s full-stack architecture across software, servers, and cloud
  • Contact network within AI-native startup and research communities
  • Knowledge of the regional AI ecosystem
  • Machine learning, data analytics, and artificial intelligence experience

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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