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Senior Product Manager – AI Platforms and Hybrid Cloud

Job in Mississauga, Ontario, Canada
Listing for: Lenovo
Full Time position
Listed on 2026-10-09
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, IT Business Analyst, IT Project Manager, IT Consultant
Salary/Wage Range or Industry Benchmark: 184725 CAD Yearly CAD 184725.00 YEAR
Job Description & How to Apply Below
We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US $83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services.

Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit  , and read about the latest news via our Story Hub .

Description and Requirements

Role Overview
Lenovo is seeking an experienced  Senior Technical Product Manager  to shape the roadmap and drive delivery for our enterprise  Hybrid Cloud Platform .

In this role, you will define the core capabilities that connect on-premises data centers with public clouds, giving enterprise customers a unified, reliable environment to run and manage their applications. You will focus on what to build and why—defining platform features across compute, storage, networking, and access control that make it easy for engineering teams and enterprise users to deploy workloads wherever they make the most sense.

You will treat both internal offering teams and external enterprise clients as your platform customers. Your mission is to listen to their needs, translate their technical challenges into clear product requirements, and partner with engineering squads who bring the technical architecture to life.

Key Responsibilities
1. Hybrid Cloud Strategy & Core Capabilities

Define the product vision, roadmap, and release milestones for our hybrid cloud platform across private infrastructure and major public cloud providers.

Specify core platform features across compute, storage, networking, and user authentication so teams can deploy and run applications seamlessly.

Lead 0-to-1 MVP scoping for new platform releases, balancing customer-requested features against realistic delivery timelines.

Define requirements for workload placement, allowing customers to easily balance applications between their private environments and public cloud capacity.

Ensure the platform provides reliable multi-tenant isolation, security policies, and health monitoring so customers trust it for production workloads.

3. Developer Experience & Customer Enablement

Run regular discovery sessions with platform users (both internal teams and external customers) to understand integration friction and day-to-day pain points.

Specify self-service platform tools, clear APIs, and developer documentation that make onboarding smooth and self-guided.

Author clear Product Requirements Documents (PRDs) and user stories that outline business value and acceptance criteria for engineering teams.

4. Cloud Economics & Usage Tracking

Define capabilities that give customers visibility into their resource usage and spending across hybrid environments.

Specify quota controls, budget alerts, and reporting dashboards so organizations can monitor their cloud investments with confidence.

Ensure the platform is ready to support modern workloads, including allocating GPU resources and supporting modern AI tools and data services as customer demand…
Position Requirements
10+ Years work experience
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