NVIDIA

Integrated Marketing Manager, Global CSP

Job Description

Posted on: 
November 8, 2023

This role is for a dedicated marketing manager who is excited by the new computing revolution and believes in its potential to transform every industry, especially for cloud service providers. By collaborating with cross-functional partners from our Solutions Architect, Devtech, Sales, and Marketing teams, this team member would seek to drive demand by integrating different ways of marketing, aligned to our sales priorities.

Responsibilities

  • Work closely with NVIDIA Headquarters CSP marketing team, to cascade HQ CSP marketing strategy and execution.
  • Lead and establish relationships along with planning and execution of PR and joint marketing activities with the marketing teams at global CSPs.
  • Design and develop marketing programs with effective lead generation programs through the effective use of CSP marketing funds.
  • Ensure the value of the NVIDIA GPU platform is at the forefront of Global CSP’s marketing and actively drives increased usage of GPU consumption.
  • Serve as a marketing contact to Global CSP for additional joint marketing programs, involving and collaborating with other teams, PR and Marcom, and other campaign teams, and inception program.
  • Be prepared to actively handle NVIDIA's presence at all Global CSP events by partnering with the NVIDIA business team and event teams.

Job Requirements

  • 10+ years in high-tech marketing with a preferred background in AI & cloud technology.
  • Experience with marketing programs, marketing promotions, and different kinds of marketing areas like product marketing, solution marketing, demand marketing & online marketing
  • Positive relationship-building and influencing skills in co-marketing & partner alliance marketing.
  • Experience in driving programs and projects across cross-functional teams and across companies.
  • Ability to measure the effectiveness and value of marketing activities, strong project management skills.

Ways to stand out from the crowd:

  • Machine Learning and AI knowledge/experience.
  • Working experience in the internet or cloud industry.
  • Master's or Bachelor's degree in Computer Science or Engineering.
  • Proficiency in English.

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