Drimva

Broadcom

Technology Product Manager

$144K–$230K

USA-CA - Promontory B · Manager · Full-time · Posted Jul 31, 2026

Experience
12 years of related experience with a BS in Computer Science or an Engineering-related field, or 10 years with an MBA or MS in Computer Science or an Engineering-related field.
Education
BS in Computer Science or an Engineering-related field, or MBA or MS in Computer Science or an Engineering-related field.
Visa sponsorship
Must have legal authorization to work in the US.

About the job

Leads product strategy, roadmap, execution, and ecosystem integration for VMware Kubernetes Service (VKS) and Supervisor within VMware Cloud Foundation.

What you'll do

  • Define VKS strategy and roadmap, including opportunities in cloud-native and AI/ML use cases.
  • Translate customer needs into product requirements and workflows; partner with engineering, UX, marketing, sales, and support to launch and enable adoption.
  • Engage enterprise customers and open-source communities, gather feedback, and represent VMware at industry events.

What they ask for

  • Product management experience in enterprise cloud infrastructure, Kubernetes, platform engineering, or virtualization.
  • Knowledge of Kubernetes architecture and the CNCF ecosystem, plus vSphere/ESXi.
  • Understanding of private and public cloud infrastructure, including compute, storage, networking, and DevOps models.
  • Track record guiding products from concept through launch with cross-functional teams; strong communication and technical-audience presentation skills.

Nice to have

  • Experience or active engagement with open-source governance and CNCF communities; experience presenting at industry conferences.
  • Background enabling platform architectures for modern and AI/ML workloads.

Pay

USD 143,800.00 to USD 230,000.00 annual base salary

Tools

VMware Kubernetes Service (VKS), Kubernetes, Cluster API, CNI/CSI, CNCF, vSphere/ESXi, VMware Cloud Foundation (VCF)

AI focus

Product strategy includes identifying opportunities for AI/ML workloads.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)