Enterprise Partner Marketing Manager, OEM and Channel

NVIDIA · nvidia.com

US, CA, Santa Clara Full-time yesterday
Workplace
On-site
Location
US, CA, Santa Clara
Who can apply
Based in the United States: you usually need the right to work there

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About the role

NVIDIA is driving the enterprise AI transformation, and our Enterprise Partner Marketing team takes it to market through our OEM partners. This role sits at the intersection of OEM and Channel. You will lead a portfolio of 30+ executive events across multiple industry verticals, enable channel partners, and make sure co-marketing investment delivers measurable pipeline. It carries significant budget ownership and visibility across sales, product, marketing and partner teams.

What you'll be doing:

* Lead NVIDIA/partner marketing strategy for North America and channel programming worldwide, from planning and budgeting through execution and measurement. * Manage a collection of over 30 VP and C-suite events across verticals, including speaker coordination, evaluating return on investment, and post-event pipeline tracking. * Lead MDF planning and execution: evaluate partner proposals, approve activity, and verify proof of execution. * Review partner activity for brand and product compliance, ensuring NVIDIA solutions are positioned accurately. * Build co-branded content and integrated campaigns with campaign marketing, product marketing, and business unit teams. * Drive breadth-channel campaigns — internal enablement, partner-facing, and end-customer — reaching VARs at scale beyond the named Strategic Partner list. * Partner with sales, creative, and third-party vendors to launch and drive demand for joint solutions .

What we need to see:

* Bachelor’s degree in Marketing, Business, or a related field, or equivalent experience. * 8+ years in channel, partner, or technology go-to-market marketing, including co-marketing programs and MDF. * Experience running executive-audience events and measuring their return on investment and pipeline impact. * Solid understanding of NVIDIA’s GPU, networking, and software portfolio, enough to assess partner proposals. * A track record of building credibility with partners, field teams, and cross-functional stakeholders in a matrixed organization.

Ways to stand out from the crowd:

* Knowledge of enterprise AI use cases and buying patterns in Healthcare, FSI, Manufacturing, SLED, Oil & Gas, and Retail. * Experience with lead nurture workflows, campaign integration, and metrics tracking. * Experience with event marketing at industry tradeshows and regional events, virtual and in person. * Familiarity with MDF eligibility, pre-approval, proof-of-execution, and reimbursement processes. * Experience with distributor marketing and breadth-channel activation, reaching non-named VARs through partner portals and co-branded field assets.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us and, due to unprecedented growth, our teams are rapidly growing. If you're creative and autonomous with a real passion for your work, we want to hear from you!

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 136,000 USD – 224,250 USD for Level 4; and 184,000 USD – 287,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 6, 2026.

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.

#deeplearning

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