Sr. Specialist, Product Marketing

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.