招聘
必备技能
Kubernetes
Go
We are looking for a Senior Product Marketing Manager to join the NVIDIA Cloud Accelerator (NCX) team. This role is for a strong technical marketer who understands AI infrastructure and can turn complex platform capabilities into clear positioning, compelling narratives, and high-quality go-to-market execution. NVIDIA Cloud Accelerator isn’t just a product; it’s the blueprint for modern AI infrastructure. It spans the IaaS and PaaS layers, providing the building blocks for provisioning, GPU health, multi-tenancy, and observability. NCX is a portfolio of open-source, modular, composable infrastructure software that helps cloud partners and infrastructure ISVs build, scale, and operate AI factories faster. The portfolio spans IaaS and PaaS layers, with building blocks for provisioning, lifecycle management, GPU health, observability, resiliency, and multi-tenant operations.
NCX is crafted to strengthen partner platforms, not replace them. In this role, you will lead product marketing for key NCX initiatives across infrastructure software, ecosystem enablement, and partner adoption. You will define positioning and messaging, develop launch plans, compose technical and business narratives, and build high-impact assets for NVIDIA Cloud Partners (NCPs), cloud service providers (CSPs), infrastructure ISVs, and internal field teams. You will work closely with product management, engineering, developer relations, business development, PR, analyst relations, campaigns, and sales to bring new infrastructure software and ecosystem stories to market. This is a highly cross-functional role that requires both strategic judgment and hands-on execution. The right candidate can go deep on architecture, understand operator struggles, and translate platform capabilities into clear customer value.
What You’ll Be Doing:
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Orchestrate the positioning and narrative for NCX, building value propositions that connect with both technical operators and business leaders.
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We will work together to launch new infrastructure software, where you will guide the go-to-market execution and ensure our messaging is consistent across blogs, web content, and partner materials.
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Cultivate deep collaborations with NVIDIA Cloud Partners (NCPs), CSPs, and infrastructure ISVs to develop joint stories that highlight how we accelerate time to deployment and operational maturity.
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By translating sophisticated GPU clusters and Kubernetes architectures into clear business value, your work will serve as the essential bridge between our engineering breakthroughs and the broader AI ecosystem.
What We Need To See:
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10+ years of experience in B2B product marketing, technical marketing, or related roles within cloud/AI infrastructure or platform software.
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Bachelor’s degree in a technical or business field, or equivalent experience.
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Technical Curiosity: A strong understanding of areas like Kubernetes, GPU clusters, inference platforms, or distributed systems.
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Strategic Execution: A proven ability to shape GTM plans and positioning for highly technical platforms.
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Communication: Outstanding writing and storytelling skills, with the ability to unite cross-functional stakeholders and executives.
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Adaptability: The ability to work proactively, navigate evolving projects, and thrive in a highly collaborative setting.
Ways To Stand Out from the Crowd:
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Specialized Insight: Deep familiarity with "AI Factory" infrastructure or cloud-native AI platforms.
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Ecosystem Focus: Experience marketing software specifically for service providers or platform operators.
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Community Mindset: Understanding of open-source models and ecosystem-led growth.
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Learning Orientation: An MBA or an equivalent blend of business and technical growth.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 230,000 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 March 23, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.
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关于NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
员工数
Santa Clara
总部位置
$4.57T
企业估值
评价
4.1
10条评价
工作生活平衡
3.5
薪酬
4.2
企业文化
4.3
职业发展
4.5
管理层
4.0
75%
推荐给朋友
优点
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
缺点
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
薪资范围
73个数据点
Junior/L3
Mid/L4
Junior/L3 · Analyst
7份报告
$170,275
年薪总额
基本工资
$130,981
股票
-
奖金
-
$155,480
$234,166
面试经验
7次面试
难度
3.1
/ 5
体验
正面 0%
中性 86%
负面 14%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
常见问题
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
新闻动态
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
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WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
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Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
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Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
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