Senior Product Manager, AI Data Center Software

Intel Corporation; Phoenix (AZ); Hybrid; USD 161,000 - 266,000; Full time

Job summary

Intel Corporation seeks a Senior Product Manager to define, build, and scale the Data Center AI Software Portfolio. You will lead the end-to-end strategy for generative AI software, focusing on Agentic toolkits, containerized microservices, and turnkey enterprise-grade deployments.

You will Drive market positioning, developer enablement, and cross-functional collaboration across CSPs, ISVs, and open-source communities to democratize high-performance AI deployment.

Qualifications

• Bachelor’s degree in CS/CE/EE or quantitative field (MBA/advanced degree preferred).
• 10+ years in product mgmt/engineering/marketing in data center/cloud/enterprise software.
• 3+ years leading products in deep learning/LLMs/AI stacks or accelerated computing.
• Cloud-native tools: Kubernetes, OpenShift, Docker, microservices architectures.

Responsibilities

• Define and own product lifecycle, vision, and roadmap for Data Center AI Software.
• Productize enterprise-ready turnkey software solutions (cloud, hybrid, on-premises).
• Lead ecosystem strategy for Agentic AI toolkits, microservices, and Hetro frameworks.
• Collaborate with GTM, marketing, and partnerships to drive adoption and licensing.
• Work with engineering, researchers, and silicon teams to align PRDs and backlogs.

Skills

Bachelor’s degree in Computer Science/

10+ years product management

AI/ML leadership

Cloud-native tools Kubernetes Docker

Education

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related quantitative field

Tools

Kubernetes

Docker

OpenShift

Job description

Intel Corporation seeks a Senior Product Manager to define, build, and scale the Data Center AI Software Portfolio. You will lead the end-to-end strategy for generative AI software, focusing on Agentic toolkits, containerized microservices, and turnkey enterprise-grade deployments.

You will Drive market positioning, developer enablement, and cross-functional collaboration across CSPs, ISVs, and open-source communities to democratize high-performance AI deployment.