Senior Product Marketing Manager - Scientific Data & AI Cloud Platform
TetraScienceSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Retail, Manufacturing, Scientific Computing, TechnologyIndustries
Requirements
- 8+ 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)
- Knowledge of data science packages and machine learning frameworks
- Excellent written and spoken communication skills
- Experience presenting at meetings, conferences, and webinars
- Strong grasp of content marketing and social media methodologies
- Comfortable reviewing Python code used in presentations, demos, and articles
- Thrive in a cross-functional organization, collaborating with peers across teams and functions
Responsibilities
- Lead positioning, messaging and launches for key data science and processing products
- Develop technical content such as blogs, videos, and presentations to help data scientists embrace NVIDIA’s SDKs
- Support go-to-market for NVIDIA hardware platforms for data processing as part of cross-functional team
- Conduct competitive and ecosystem analysis to develop positioning and focus promotion
- Engage with the data science community directly and present key technologies at events
- Derive insights from customer adoption trends and share with internal teams
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What experience level is required for this Senior Product Marketing Manager role?
The role requires 8+ years’ experience with launching, go-to-market and scaling technical product adoption for data scientists or developers.
What education is needed for this position?
A Bachelor's degree in a scientific or technical field (or equivalent experience) is required.
What key skills are essential for success in this role?
Essential skills include knowledge of data science packages and machine learning frameworks, excellent written and spoken communication skills, experience presenting at meetings, conferences, and webinars, a strong grasp of content marketing and social media methodologies, and comfort reviewing Python code.
What is the work environment like at NVIDIA?
You'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work, and you thrive in a cross-functional organization by collaborating with peers across teams and functions.
How can I stand out as a candidate for this role?
Stand out by clearly communicating your understanding of NVIDIA’s strategy and technology, sharing measurable impact through metrics, awards, or key accomplishments, and providing a growing portfolio of blogs and social posts with links to relevant work including technical writing and social media presentations.
NVIDIA
Designs GPUs and AI computing solutions
About NVIDIA
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.
Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees
Benefits
Company Equity
401(k) Company Match
Risks
Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.
Differentiation
NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.
Upsides
Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.
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