Sr. Specialist, Product Marketing

Why Work at Lenovo

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 www.lenovo.com, and read about the latest news via our StoryHub.

Description and Requirements

Job Responsibilities

1. AI Solution Planning

• Define device/edge-based AI solution requirements and use cases for SMB customers.
• Collaborate with software solution teams to develop integrated AI offerings combining applications, AI models, and hardware platforms.
• Translate customer and business needs into scalable and deployable AI solutions.

2. Hardware-Enabled AI Solution Design

• Design AI solutions leveraging AI PCs, Workstations, Edge Devices, and AI Computing Boxes, etc.
• Define deployment architectures, hardware configurations, and infrastructure requirements for different AI workloads.
• Work closely with engineering teams to evaluate solution performance, scalability, and cost efficiency.

3. AI Solution Incubation and Delivery

• Identify and evaluate emerging AI solution opportunities.
• Work with AI software, hardware, and ecosystem teams to define MVP scope and validate solution feasibility.
• Drive solution PoCs, pilot projects, and customer deployments.
• Coordinate cross-functional teams to ensure successful delivery and commercialization.

4. Customer and Ecosystem Engagement

• Support customer workshops, solution demonstrations, and proof-of-concept engagements.
• Collaborate with internal/external AI technology partners and hardware partners to strengthen solution capabilities.
• Gather customer feedback and market insights to continuously improve solutions.

Qualifications

• Bachelor's degree or above in Computer Science, Engineering, AI, or related fields.
• 3+ years of experience in Product Management, Solution Management, Technical Consulting, System Engineering, or related roles.
• Good understanding of AI technologies and application scenarios, including Generative AI, LLMs, AI Agents, etc.
• Familiarity with AI infrastructure and deployment environments.
• Understanding of AI model deployment, inference workflows, and hardware-software integration.
• Excellent communication and cross-functional collaboration skills.
• Fluent English communication skills.

Preferred Qualifications

• Experience with Edge AI, Local AI, or Hybrid AI solutions.
• Experience working with AI hardware platforms or accelerated computing technologies.