Product Planning Manager, Datacenter

• Product marketing, planning, and strategy for AI data center products (e.g., Server CPU, AI accelerators/XPU, switch/networking products, optical interconnect) - Product lifecycle management, from ideation and requirements definition through development, launch, go-to-market, and end-of-life - Proactively identify new market opportunities and initiate new product concepts based on market trends, customer pain points, competitor analysis, and technology evolutions. - Develop and communicate clear value propositions and product stories that resonate with customers, stakeholders, and executive leadership. - Drive cross-functional alignment with engineering, business development, marketing, and support teams to successfully deliver and launch products. - Conduct deep market and competitive analysis to inform product strategy, pricing, and positioning. - Engage with key customers, industry leaders, and ecosystem partners to gather feedback, validate product ideas, and drive adoption.

Main Requirements and Qualifications

• • Master’s or Bachelor’s degree in Electrical Engineering, Computer Science, Business, or related field; MBA or advanced technical degree is a plus.
• • 10+ years of experience in product marketing, product management, or business development for data center or enterprise hardware products.
• • Deep technical knowledge of AI data center solutions, server CPU, AI accelerators/XPU, networking, and silicon photonics, etc.
• • Strong strategic thinking with hands-on experience driving standard product roadmaps.
• • Demonstrated success managing the full product lifecycle (concept to end-of-life) for complex, high-performance hardware or silicon products.
• • Excellent market research and analysis skills, with the ability to synthesize data and trends into actionable product strategies.
• • Exceptional communication, storytelling, and presentation skills—able to craft and deliver compelling product narratives and business cases.
• • Experience working cross-functionally and with senior/executive stakeholders.
• • Familiarity with hyperscaler customer requirements and AI ecosystems is a significant advantage.
• • Willingness to travel as needed for customer meetings, partnership development, and industry events.