Senior Product Manager - Turnkey AI for Data Centers

Intel

Santa Clara (CA)

Hybrid

USD 161,000 - 266,000

Full time

8 days ago
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Benefits offered by this job

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Hybrid work model

Job summary

Intel seeks a Senior Product Manager to define, build, and scale its Data Center AI Software Portfolio. You will own end-to-end strategy for a generative AI software stack, focusing on Agentic toolkits, containerized microservices, and turnkey solutions that simplify AI deployment and foster a vibrant developer ecosystem.

Lead cross-functional teams across engineering, researchers, and sales to deliver enterprise-grade software and accelerate market adoption.

Qualifications

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

Responsibilities

  • Portfolio strategy and roadmap ownership for Intel's Data Center AI Software.
  • Define and productize turnkey, enterprise-ready software solutions across cloud, hybrid, and on-premises deployments.
  • Lead Agentic AI toolkits and microservices ecosystem with industry-standard frameworks.
  • Monitor competitive landscape and shape GTM with marketing and business development.
  • Foster ecosystem growth with CSPs, ISVs, and open-source communities; deliver developer-friendly blueprints.

Job description

Intel seeks a Senior Product Manager to define, build, and scale its Data Center AI Software Portfolio. You will own end-to-end strategy for a generative AI software stack, focusing on Agentic toolkits, containerized microservices, and turnkey solutions that simplify AI deployment and foster a vibrant developer ecosystem.

Lead cross-functional teams across engineering, researchers, and sales to deliver enterprise-grade software and accelerate market adoption.

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