Datacenter Systems Product Leader – GenAI Infra

Support Revolution

San Jose (CA)

On-site

USD 200,000 - 230,000

Full time

8 days ago

Application generator

Don’t send a generic resume — generate a resume and cover letter tailored to this exact role.

Get past ATS filters

Job summary

Supermicro is seeking an Staff Data Center Systems Product Manager in San Jose to define and deliver next-generation datacenter solutions that combine GPU platforms, networking, storage, and cooling technologies. You will lead across hardware, software, and operations, aligning customer needs with engineering innovation for GenAI and HPC workloads.

The role demands deep knowledge of AI cloud software ecosystems and performance optimization, with strong leadership, market research, and executive

Qualifications

Bachelor’s degree in Computer Science or Computer/Electrical Engineering.
12+ years of experience in product management, solutions architecture, or technical marketing.
Strong background in datacenter infrastructure (servers, networking, storage), AI platforms, or cloud-native environments.
Demonstrated experience driving complex projects in cross-functional, matrixed organizations.
Excellent presentation skills, with proficiency in PowerPoint and storytelling for executive and technical audiences.
Ability to perform market research, competitive analysis, and customer engagement activities.
High-level understanding of product lifecycle—from concept to launch.

Responsibilities

Product Strategy for Modern Datacenters: Work with Datacenter Building Blocks to define solutions and contribute to a product roadmap for cutting-edge datacenter solutions.
Cross-Functional Project Leadership: Lead planning and execution across hardware engineering, software, operations, and marketing.
Thermal & Power Innovation Support: Collaborate on designs to build datacenter solutions optimized for DLC and air cooling, evaluate energy efficiency.
Monitoring, Analytics & Optimization: Partner with software and BIOS/BMC teams to enable predictive maintenance and workload-aware optimization.
Gen-AI and Data Workflow Enablement: Identify trends in infrastructure for GenAI, training, inference, and data pipelines.
Customer-Centric Market Research: Conduct research with hyperscalers and enterprise customers to inform feature prioritization.
Presentation & Enablement: Create executive presentations and sales tools to articulate the value of the AI cloud infrastructure portfolio.