NVIDIA seeks a Cloud Sales Enablement Manager to guide strategic collaboration and joint go-to-market initiatives with Google Cloud. The role centers on boosting NVIDIA AI adoption by coordinating across Google Cloud’s developer, product, and field teams. It combines technical partnership, ecosystem expansion, field enablement, and co-selling approaches. You will operate at the crossroads of engineering integration and revenue growth to drive adoption of NVIDIA technologies within Google Cloud and enable field teams to scale GPU-accelerated AI workloads. The ideal candidate offers expertise in cloud AI architectures and experience uniting product, sales, and marketing teams.
What You’ll Be Doing:
Manage the entire GTM cycle, including delivering wide-reaching 1:many developer activations and events, crafting GTM playbooks, and supporting targeted account interactions.
Lead 1:many developer activations through technical workshops, webinars, and presentations at events.
Own the technical GTM assets for enablement, ensuring a catalog of demos, hands-on labs, and workshops remain current and highly functional.
Own the conversion of samples to developer assets, including demos, codelabs, tutorials, and structured workshops.
Develop strong relationships with Google Cloud field and technical teams. Collaborate with external end-customers and independent developers to accelerate NVIDIA AI and GPU-accelerated technology integration.
Collaborate with Google Cloud and NVIDIA enablement teams to provide sales audiences with the technical confidence and unified messaging required to advance pipeline growth.
Translate developer and engineering feedback from customer activities into actionable product insights and roadmap input for NVIDIA internal teams.
Act as an expert on NVIDIA offerings on Google Cloud, clearly communicating its value proposition to Google Cloud field teams and customers.
What We Need to See:
Bachelor’s degree or equivalent experience is required; an advanced degree is preferred.
8+ years of proven experience in enterprise technology, cloud platforms, AI/ML, scalable applications, or GPU technologies.
Strong understanding of AI infrastructure, Generative AI, machine learning, and cloud-native architectures on Google Cloud.
Technical proficiency to read and write code, paired with the strong capability to project manage cross-functional technical teams and SMEs.
Experience driving the full GTM lifecycle—from large-scale event delivery and developer activations to strategic playbooks and account engagements.
Proven track record to build strategic partnerships and deliver technical enablement within a major cloud ecosystem.
Excellent communication and presentation skills, with the ability to adjust easily between deeply technical developer audiences and high-level business leaders.
Ways to Stand Out from the Crowd:
Existing relationships within the Google Cloud sales, partnership, or developer organizations.
Familiarity with NVIDIA's product portfolio and ecosystem.
Google Cloud Certifications.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 200,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.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.Skills Required
- Bachelor's degree or equivalent experience
- Advanced degree
- 8+ years experience in enterprise technology, cloud platforms, AI/ML, scalable applications, or GPU technologies
- Strong understanding of AI infrastructure, Generative AI, machine learning, and cloud-native architectures on Google Cloud
- Technical proficiency to read and write code
- Project management of cross-functional technical teams and SMEs
- Experience driving the full GTM lifecycle including large-scale events and developer activations
- Proven track record building strategic partnerships and delivering technical enablement within a major cloud ecosystem
- Excellent communication and presentation skills for technical and executive audiences
- Existing relationships within Google Cloud sales, partnership, or developer organizations
- Familiarity with NVIDIA's product portfolio and ecosystem
- Google Cloud Certifications
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
-
Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
-
Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
