Job description

We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY). This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com , and read about the latest news via our StoryHub . We are seeking an experienced AI & HPC Product Line Manager to lead the worldwide product line go-to-market execution for our AI and High Performance Computing (HPC) server portfolio for enterprise and small/medium business (ESMB). This is a high-impact, globally scoped role responsible for translating rapidly evolving AI/HPC technologies and customer requirements into compelling server solutions and differentiated market offerings. The successful candidate will combine deep technical expertise in AI and HPC hardware and software stacks with strong product management, go-to-market, and commercial skills. The role requires a detailed understanding of NVIDIA accelerated computing technologies , including GPU platforms, networking, software ecosystems, and the broader AI infrastructure stack, as well as the ability to translate technical capabilities into customer value and business outcomes. The candidate must also have breadth into AMD, Intel, ARM, and new AI training and inference offerings in the coming years. Working across offering group, supply chaing, marketing, sales, channel, alliances, and customers, the Product Line Manager will serve as a key subject-matter expert and business leader for the company's AI/HPC portfolio worldwide, excluding China. Key Responsibilities • Own the worldwide product-line strategy for AI and HPC server platforms, from portfolio definition through launch, lifecycle management, and end-of-life. • Develop and execute go-to-market strategies that drive revenue growth, market share, customer adoption, and competitive differentiation. • Define product requirements and roadmap priorities based on customer needs, industry trends, competitive analysis, technology evolution, and business objectives. • Maintain deep technical knowledge of AI/HPC infrastructure, including: • GPU-accelerated computing architectures • NVIDIA GPU platforms and accelerated computing technologies • NVIDIA networking and high-speed interconnect technologies • CPU, GPU, memory, storage, and networking architectures • AI training, inference, and HPC workloads • Cluster architectures and scale-out systems • High-performance storage and data pipelines • AI/HPC software stacks, frameworks, libraries, and management platforms • Cooling, power, density, and data-center infrastructure considerations • Develop strong working knowledge of the NVIDIA AI and HPC ecosystem , including relevant hardware, software, platforms, reference architectures, and partner technologies. • Partner closely with NVIDIA and other strategic technology partners (Intel, AMD, Broadcom) to understand roadmaps, influence product direction, develop joint solutions, and execute joint go-to-market initiatives. • Act as a technical and commercial subject-matter expert for the AI/HPC portfolio, providing guidance to regional sales organizations, solution architects, systems engineers, channel partners, and customers. • Work directly with strategic customers to understand their AI/HPC infrastructure requirements and translate those requirements into product and solution opportunities. • Enable technical sales teams with compelling product positioning, competitive differentiation, sales tools, presentations, technical content, and customer-facing messaging. • Support strategic customer engagements, executive briefings, proof-of-concept activities, benchmark discussions, and major sales opportunities. • Develop competitive intelligence and clearly articulate differentiation against other server OEMs, cloud providers, and specialized AI infrastructure companies. • Collaborate with engineering and architecture teams to ensure products meet performance, scalability, reliability, manageability, and time-to-market requirements. • Partner with marketing to develop product messaging, launches, campaigns, events, white papers, solution briefs, and other market-facing content. • Establish and monitor product-line business metrics, including revenue, pipeline, bookings, market share, pricing, profitability, attach rates, and forecast accuracy. • Drive cross-functional alignment across worldwide sales, product management, engineering, operations, finance, marketing, and executive leadership. • Represent the company at major industry events, customer forums, partner meetings, and technical conferences. • Stay current on emerging developments in AI infrastructure, generative AI, accelerated computing, HPC, networking, liquid cooling, disaggregated infrastructure, and data-center architectures. Required Qualifications • 8+ years of experience in product management, product marketing, solutions architecture, technical sales, business development, or a related role within the server, AI infrastructure, HPC, semiconductor, or data-center industry. • Demonstrated experience bringing complex technology products to market and developing successful go-to-market strategies . • Strong technical understanding of modern AI and HPC server architectures and software ecosystems . • Significant hands-on or professional experience with NVIDIA accelerated computing platforms and technologies is required. • Strong understanding of GPU computing, AI training and inference, HPC workloads, and large-scale clustered infrastructure. • Working knowledge of the broader AI/HPC stack, from silicon and systems through networking, storage, software, orchestration, and workload frameworks. • Proven experience working directly with technical sales organizations, solution architects, systems engineers, and enterprise customers . • Ability to engage credibly with highly technical customers, engineers, architects, and executives. • Excellent written, verbal, presentation, and interpersonal communication skills. • Demonstrated ability to influence cross-functional teams without direct authority. • Strong business judgment with the ability to balance technical requirements, customer needs, competitive dynamics, revenue objectives, and product profitability. • Willingness and ability to travel internationally as required. Preferred Qualifications • Experience with large-scale AI/HPC clusters and data-center deployments. • Experience with NVIDIA DGX, HGX, MGX, or comparable accelerated computing architectures. • Knowledge of NVIDIA networking technologies and high-speed fabric architectures. • Familiarity with CUDA and the NVIDIA software ecosystem, as well as AI frameworks such as PyTorch and related AI/HPC software stacks. • Experience with AI infrastructure management, orchestration, benchmarking, and cluster deployment. • Experience working with hyperscalers, cloud service providers, research institutions, national laboratories, or large enterprise AI/HPC customers. • Experience developing reference architectures or validated solutions with technology partners. • Experience managing a global product portfolio across multiple geographic regions. • MBA or advanced technical degree is a plus. The ideal candidate is equally comfortable whiteboarding an AI/HPC architecture with an engineer, discussing a GPU platform roadmap with NVIDIA, developing a competitive strategy with product leadership, and presenting the business value of an AI infrastructure solution to a Fortune 500 customer executive. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.

Requirements

Must-haves

We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Own the worldwide product-line strategy for AI and HPC server platforms, from portfolio definition through launch, lifecycle management, and end-of-life.
Develop and execute go-to-market strategies that drive revenue growth, market share, customer adoption, and competitive differentiation.
Define product requirements and roadmap priorities based on customer needs, industry trends, competitive analysis, technology evolution, and business objectives.
Maintain deep technical knowledge of AI/HPC infrastructure, including: • GPU-accelerated computing architectures
NVIDIA GPU platforms and accelerated computing technologies
NVIDIA networking and high-speed interconnect technologies
CPU, GPU, memory, storage, and networking architectures
AI training, inference, and HPC workloads
Cluster architectures and scale-out systems
High-performance storage and data pipelines
AI/HPC software stacks, frameworks, libraries, and management platforms
Cooling, power, density, and data-center infrastructure considerations
Develop strong working knowledge of the NVIDIA AI and HPC ecosystem , including relevant hardware, software, platforms, reference architectures, and partner technologies.
Partner closely with NVIDIA and other strategic technology partners (Intel, AMD, Broadcom) to understand roadmaps, influence product direction, develop joint solutions, and execute joint go-to-market initiatives.

Nice-to-haves

Experience with large-scale AI/HPC clusters and data-center deployments.
Experience with NVIDIA DGX, HGX, MGX, or comparable accelerated computing architectures.
Knowledge of NVIDIA networking technologies and high-speed fabric architectures.
Familiarity with CUDA and the NVIDIA software ecosystem, as well as AI frameworks such as PyTorch and related AI/HPC software stacks.
Experience with AI infrastructure management, orchestration, benchmarking, and cluster deployment.
Experience working with hyperscalers, cloud service providers, research institutions, national laboratories, or large enterprise AI/HPC customers.
Experience developing reference architectures or validated solutions with technology partners.
Experience managing a global product portfolio across multiple geographic regions.
MBA or advanced technical degree is a plus.

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