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Super Micro Computer

Modular, energy-efficient server hardware solutions

Staff Data Center Systems Product Manager

Technical Product ManagementUpdated on Nov 14
Full-timeSan Jose, CA, USAIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science or Computer/Electrical Engineering is required.
  • 12 or more years of experience in product management, solutions architecture, or technical marketing is required.
  • A strong background in datacenter infrastructure, AI platforms, or cloud-native environments is required.
  • Demonstrated experience driving complex projects in cross-functional, matrixed organizations is required.
  • Proficiency in PowerPoint and the ability to create presentations and tell stories for executive and technical audiences are required.
  • The ability to perform market research, competitive analysis, and customer engagement activities is required.
  • A high-level understanding of the product lifecycle from concept to launch is required.

Responsibilities

  • Work with Supermicro’s Datacenter Building Blocks to define specific solutions and contribute to a product roadmap for integrated datacenter solutions involving GPU-accelerated computing, high-speed networking, and scalable storage.
  • Stay current with industry trends in AI infrastructure, liquid cooling, and next-generation data pipelines.
  • Lead the planning and execution of multidisciplinary initiatives across hardware engineering, software teams, operations, and marketing.
  • Coordinate development of integrated solutions involving GPUs, SmartNICs, NVMe storage, and AI-ready platforms.
  • Collaborate with product teams to build complete datacenter solutions optimized for direct liquid cooling and high-efficiency air cooling.
  • Support total cost of ownership and energy-efficiency evaluations in customer datacenter environments.
  • Partner with Supermicro Supercloud software and BIOS/BMC teams to apply monitoring and analytics capabilities for predictive maintenance, performance tuning, and workload-aware optimization for AI and HPC use cases.
  • Work with AI/ML architects to identify infrastructure requirements and trends for generative AI training, inference, and large-scale data processing workloads.
  • Understand Supermicro products and features that can optimize large language models, data lakes, and AI pipelines.
  • Conduct research with hyperscalers, enterprise customers, and channel partners to understand evolving AI datacenter requirements.
  • Use research insights to influence feature prioritization, packaging, and product differentiation.
  • Develop executive-level presentations, customer-facing collateral, and sales tools that explain the value of the AI cloud infrastructure portfolio.
  • Represent the product roadmap in internal and external briefings.

Desired Qualifications

  • Experience with Supermicro hardware, NVIDIA-based AI infrastructure, Kubernetes, or cloud orchestration is preferred.
  • Familiarity with Agile methodologies and product management tools such as Jira and Aha! is preferred.
  • Prior experience in enterprise IT, datacenter design, or cloud infrastructure product development is preferred.
  • An MBA or an advanced degree in a technical or business field is preferred.

About the Company

Super Micro Computer

Modular, energy-efficient server hardware solutions

Super Micro Computer designs and sells high-performance, energy-efficient server hardware and related software and services for data centers, cloud, AI, 5G, and edge computing. Its modular Building Block Solutions let customers assemble configurable servers, storage, motherboards, and chassis from common components to match workloads. The company emphasizes green computing and power efficiency to reduce energy use in large-scale deployments and enable faster procurement. Its goal is to help customers deploy reliable computing infrastructure quickly through direct sales and an extensive partner network of distributors and value-added resellers.

Company size
5,001-10,000
Company stage
IPO
Headquarters
San Jose, CA
Founded
1993

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