Product Marketing Manager, AI for Chemistry and Materials

California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Chemicals, Materials Science, Computer HardwareIndustries

Requirements

Candidates must have a Master's degree or equivalent experience with over 5 years of product marketing and/or product management experience with software or hardware products. A solid working knowledge of and experience with AI for Chemical and Materials workflows is required, along with experience at a technology company driving messaging for SDKs or libraries. Candidates should be passionate about and experienced in storytelling and engaging audiences, and skilled in articulating ideas and concepts to various stakeholders using cohesive written and oral skills. A portfolio showing successful product launches, campaigns, and writing/presentation samples, along with strong familiarity in applying customer insights, competitive intelligence, and market research, are considered advantageous.

Responsibilities

The Product Marketing Manager will lead product launch strategy and drive go-to-market plans, including messaging, positioning, and differentiation for the product narrative. They will act as a product advocate, aligning sales, marketing, partners, and customers to the product mission and revenue opportunities. This role involves building crisp product marketing strategies for product adoption and growth, and creating marketing and sales/partner enablement assets such as blogs, whitepapers, webinars, demos, and customer/partner decks. The manager will also present ideas clearly and confidently, translating technology capabilities into messaging for diverse audiences, and implement product marketing plans by collaborating with product management, sales, campaign marketing, PR, and engineering teams.

Skills

Product Marketing

Go-to-Market Strategy

Messaging

Positioning

Product Launch

Sales Enablement

Marketing Asset Creation

Blogs

Whitepapers

Webinars

Demos

Customer Presentations

Partner Presentations

Chemical Discovery

Materials Discovery

Communication Skills

Technical Translation

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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