Drimva

Intel

Product Manager – AI Software and Solution

$161K–$266K

US, California, Santa Clara +4 · Manager · Full-time · Posted Sep 15, 2026

Location
US, California, Santa Clara
US, Oregon, Hillsboro
US, California, Folsom
US, Texas, Austin
US, Arizona, Phoenix
Experience
10+ years in product management, product engineering, or technical marketing; 3+ years of dedicated AI/ML product leadership.
Education
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a highly technical quantitative discipline.

About the job

Leads strategy and execution for Intel’s data center AI software portfolio, including generative AI toolkits, microservices, and enterprise-ready deployment solutions.

What you'll do

  • Own product lifecycle, strategy, and roadmap for data center AI software and customer experiences.
  • Define turnkey AI solutions and developer blueprints for cloud, hybrid, and on-premises deployments.
  • Analyze competitors and collaborate with engineering, marketing, partners, and developers to grow the software ecosystem.

What they ask for

  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a highly technical quantitative discipline.
  • 10+ years of product management, product engineering, or technical marketing experience in data center, cloud-native, or enterprise software.
  • 3+ years of dedicated product leadership in deep learning, LLMs, generative AI stacks, or accelerated computing.
  • Practical understanding of Kubernetes, Red Hat OpenShift, Docker, and modern microservice mesh architectures.

Nice to have

  • MBA or advanced technical degree.
  • Experience with GPU software stacks, RAG, Agentic AI, vector databases, AI inference deployment, or orchestration frameworks.

Pay

$160,980.00-265,870.00 USD (total compensation)

Tools

Kubernetes, Red Hat OpenShift, Docker, Docker Compose, Kubernetes Helm Charts, Terraform, Hugging Face, PyTorch

AI focus

Product leadership for generative AI software, Agentic AI toolkits, RAG applications, AI inference, and accelerated computing.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)