Senior Product Manager, Private Cloud & AI Ecosystem

Lenovo

Morrisville (NC)

On-site

USD 150,000 - 190,000

Full time

8 days ago

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Job summary

Lenovo is seeking an experienced ThinkAgile Architect to collaborate with ISV partners and Lenovo teams to shape platform architectures and ensure alignment across ThinkAgile solutions. The role focuses on AI-driven requirements, orchestration, and automation to streamline deployment and lifecycle management across enterprise infrastructure.

The successful candidate will synthesize enterprise infrastructure expertise with partner engagements, guiding architectural decisions across multiple

Qualifications

  • Extensive experience in enterprise architecture, HCI, Private Cloud, Hybrid Cloud, or related areas.
  • Deep understanding of server, storage, virtualization, and systems-management architectures.
  • Strong knowledge of major enterprise cloud/HCI ecosystems (VMware Cloud Foundation, Nutanix, Azure Local).
  • Experience in infrastructure lifecycle management, automation, orchestration, and systems management.
  • Ability to translate workload, customer, and software requirements into infrastructure architectures.
  • Leadership across multiple products/teams to drive architectural initiatives.

Responsibilities

  • Lead cross-portfolio architectural leadership and define future AI-driven requirements and patterns.
  • Align ThinkAgile product management, engineering, and ISV partners on architectural direction.
  • Define how management capabilities and ISV platforms integrate to simplify deployment and operations.
  • Translate complex software and infrastructure needs into coherent solution architectures.

Skills

Enterprise architecture
HCI
Hybrid Cloud
Private Cloud
AI infrastructure

Tools

VMware Cloud Foundation
Nutanix Cloud Platform
Microsoft Azure Local

Job description

Lenovo is seeking an experienced ThinkAgile Architect to collaborate with ISV partners and Lenovo teams to shape platform architectures and ensure alignment across ThinkAgile solutions. The role focuses on AI-driven requirements, orchestration, and automation to streamline deployment and lifecycle management across enterprise infrastructure.

The successful candidate will synthesize enterprise infrastructure expertise with partner engagements, guiding architectural decisions across multiple

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