联想 – Product Manager 职位分析和面试指导

职位简介：

The Product Manager will lead the development of cutting-edge AI hardware solutions, defining product vision, roadmap, and execution strategy for next-generation AI devices while ensuring seamless integration of hardware, software, and AI capabilities. This role requires conducting market research and competitive analysis to identify AI hardware trends, working closely with cross-functional teams to design innovative solutions, and developing business cases and go-to-market strategies. The ideal candidate holds a Master’s degree or higher in Computer Science, Engineering, Business, or related field, with 3-5 years of product management experience in AI devices, smart hardware, or PC products, along with a strong technical understanding of AI technologies and their hardware applications. Excellent communication and stakeholder management skills in English are essential for this global collaboration role in a fast-paced environment.

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简历及面试建议：

When crafting your resume for this AI Product Manager position at Lenovo, focus on highlighting your direct experience with AI-powered hardware devices. Quantify your achievements in product launches, specifying how your work led to measurable business impacts like revenue growth or market share gains. Your technical understanding should shine through – mention specific AI technologies you’ve worked with (NPUs, LLMs) and how you’ve applied them in hardware solutions. Since this is a global role, emphasize any international collaboration experience and make sure your English proficiency is clearly stated. The education section should prominently feature your advanced degree in a relevant field. Structure your resume to tell a story of progressively complex product management responsibilities, with particular attention to cross-functional leadership in hardware/software integration projects.

In your interview preparation, be ready to discuss in depth your experience with AI hardware product lifecycles – from ideation through launch. Expect scenario-based questions about how you would prioritize features or resolve conflicts between engineering and business needs. Practice articulating your technical knowledge of AI in hardware; you might be asked to explain how you would evaluate the feasibility of implementing specific AI capabilities in a device. Prepare examples that demonstrate your strategic thinking, especially around identifying market opportunities for AI hardware. Since stakeholder management is crucial, have stories ready about how you’ve successfully aligned diverse teams or handled difficult partner negotiations. The interviewers will likely assess your English communication skills throughout, so practice presenting complex technical concepts clearly and concisely. Research Lenovo’s current AI hardware initiatives thoroughly so you can speak knowledgeably about how your skills align with their strategic direction.