We want to welcome a marketing professional with a technical background to our product marketing team. In this role, you will guide data scientists, AI engineers and NLP engineers toward understanding the value of accelerated computing for a portfolio of unstructured data processing and decision optimization products. You will plan and advance strategic marketing campaigns that boost the adoption of NVIDIA's data processing software and hardware platforms. Are you familiar with the unstructured data processing and decision optimization ecosystems, their personas, and their workflows? Do you have insight into key use cases, segments, and frequently applied algorithms in targeted industries, such as financial services, retail/e-tail, and telecommunications? If so, this role might suit you well!
What you'll be doing:
Lead positioning, messaging and launches for unstructured data processing and decision optimization products
Drive content and messaging for executive keynotes
Capture practitioner feedback and test messaging through community activities such as live-streams, hackathons and meetups
Carry out ecosystem analysis to guide our positioning and assist campaigns that convey our key messages
Develop technical content including blogs and videos to support technical practitioners in using NVIDIA's SDKs
Develop presentations aimed at educating industry and business analysts and PR on our positioning and value proposition
What we need to see:
8+ years' experience with launching, go-to-market and scaling technical product adoption for developers, data scientists, or operations research practitioners.
Bachelor's degree in a scientific or technical field (or equivalent experience).
Understanding of unstructured data processing or optimization and operations research environments
Familiarity with ML, vector search, or key solver technologies
Comfortable explaining Python code used in presentations, demos, and articles.
Ways to stand out from the crowd:
Clearly convey your comprehension of NVIDIA's approach and technology for data processing.
Background in NLP, AI/LLM Ops, operations research, logistics/routing, supply chain, or as a quantitative analyst
Growing portfolio of blogs and social posts with links to your relevant work, including technical writing, social media presence, videos, and research papers.
Building and nurturing technical open source communities.
With highly competitive salaries and a full benefits package, NVIDIA is known as one of the technology world's most desirable employers. We employ some of the most hard-working and dedicated people worldwide. Our product marketing teams are growing quickly. If you're a creative and independent technical marketer passionate about technology, we want to hear from you. Join us and make a lasting impact!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 230,000 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5.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
- 8+ years experience with launching, go-to-market and scaling technical product adoption for developers, data scientists, or operations research practitioners.
- Bachelor's degree in a scientific or technical field (or equivalent experience).
- Understanding of unstructured data processing or optimization and operations research environments.
- Familiarity with ML, vector search, or key solver technologies.
- Comfortable explaining Python code used in presentations, demos, and articles.
- Background in NLP, AI/LLM Ops, operations research, logistics/routing, supply chain, or as a quantitative analyst.
- Growing portfolio of blogs and social posts with links to relevant technical work, videos, or research papers.
- Experience building and nurturing technical open source communities.
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.”
