Sr. Specialist, Product Marketing

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 (https://www.lenovo.com), and read about the latest news via our StoryHub (https://news.lenovo.com/).

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.