Senior Product Manager, AI Software for Data Center

Intel; Santa Clara (CA); On-site; USD 170,000 - 250,000; Full time

Job summary

Intel in Santa Clara seeks a Senior Product Manager to define and scale the Data Center AI Software Portfolio. You will own the product lifecycle, shaping strategy for agentic toolkits, containerized microservices, and turnkey solutions across cloud, hybrid, and on-premises deployments.

You will partner with engineering, AI researchers, and ecosystems to build a robust developer ecosystem and create competitive, open-standards software offerings that accelerate AI deployment.

Qualifications

• Education: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a highly technical quantitative discipline (MBA or advanced degree preferred).
• Experience: 10+ years in product management, product engineering, or technical marketing in data center/cloud/enterprise software.
• AI/ML Domain: 3+ years in leadership within deep learning, LLMs, generative AI stacks, or accelerated computing.
• Cloud-native: Practical knowledge of Kubernetes/OpenShift, Docker, and modern microservice architectures.

Responsibilities

• Own the product lifecycle, strategic vision, and execution roadmap for Intel's Data Center AI Software and customer experiences.
• Drive enterprise-ready turnkey cloud/hybrid/on-premises solutions for seamless AI deployment.
• Lead ecosystem strategy with CSPs, ISVs, and the open-source AI community; deliver developer-friendly reference architectures and deployment blueprints.

Skills

Strategic thinking

Cross-functional leadership

Product strategy

Education

Bachelor's degree in CS/Engineering

Tools

Kubernetes

Docker

OpenShift

Terraform

Job description

Intel in Santa Clara seeks a Senior Product Manager to define and scale the Data Center AI Software Portfolio. You will own the product lifecycle, shaping strategy for agentic toolkits, containerized microservices, and turnkey solutions across cloud, hybrid, and on-premises deployments.

You will partner with engineering, AI researchers, and ecosystems to build a robust developer ecosystem and create competitive, open-standards software offerings that accelerate AI deployment.