Role at a glance
- Salary
- Not Disclosed
- Location
- 2 Locations, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years’ experience with launching, go-to-market and scaling technical product adoption for data scientists or developers.
- Education
- Bachelor's degree in a scientific or technical field (or equivalent experience).
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Role Summary
This product marketing role promotes NVIDIA data-processing software and hardware to data engineers, analytics engineers, and database engineers. It develops product positioning and adoption efforts and supports the market introduction of hardware platforms for data processing.
What You'll Do
- Lead positioning, messaging, and launches for data-processing products.
- Plan and advance campaigns to boost adoption of NVIDIA data-processing software and hardware platforms.
- Gather practitioner feedback and test messaging through livestreams, hackathons, meetups, and other community activities.
- Analyze the ecosystem to guide positioning and support campaigns communicating key messages.
- Develop technical content, including blogs and videos, to help data engineers use NVIDIA SDKs; create presentations for industry and...
- Support hardware platform introductions with cross-functional teams, engage the data engineer and database communities, and showcase...
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
At least 5 years of experience launching, taking to market, and scaling technical product adoption for data scientists or developers; a bachelor's degree in a scientific or technical field or equivalent experience; understanding of data analytics, data engineering, and database environments; familiarity with analytics and database technologies; and comfort explaining Python code in presentations, demos, and articles.
Preferred
- Clearly convey your comprehension of NVIDIA’s approach and technology for data processing.
- Measurable impact (metrics, awards, key accomplishments) you can share.
- Growing portfolio of blogs and social posts with links to your relevant work, including technical writing, social media presence,...
- Building and nurturing technical communities.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
We want to welcome a marketing professional with a technical background to our product marketing team. In this role, you will guide data engineers, analytics engineers, and database engineers toward understanding the value of accelerated computing for data processing. 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 data analytics and database ecosystem, its 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, manufacturing, and scientific computing? If so, this role might suit you well!
What you’ll be doing:
Lead positioning, messaging and launches for key data processing products
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 data engineers in using NVIDIA’s SDKs
Develop presentations aimed at educating industry and business analysts and PR on our positioning and value proposition
Support market introduction for NVIDIA hardware platforms for data processing as part of cross-functional teams
Interact directly with the data engineer and database community and showcase key technologies at events
What we need to see:
5+ years’ experience with launching, go-to-market and scaling technical product adoption for data scientists or developers.
Bachelor's degree in a scientific or technical field (or equivalent experience).
Understanding of data analytics, data engineering and database environment
Familiarity with key analytics and database 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.
Measurable impact (metrics, awards, key accomplishments) you can share.
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 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 124,000 USD - 195,500 USD for Level 3, and 152,000 USD - 230,000 USD for Level 4.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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.