Product Manager 2 (AI)
Microsoft
Product Manager 2 (AI)
Suzhou, Jiangsu, China
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Overview
At Microsoft, we’re looking for visionary Product Managers (PMs) to shape the future of AI products. In this role, you’ll collaborate with engineers, designers, and AI researchers to transform abstract ideas into innovative, user-centric experiences that captivate and delight. We seek individuals who combine technical expertise with creativity and empathy, thrive in fast-paced environments, and are passionate about building world-class AI solutions.
Qualifications
• At least 2+ years working experience, Deep passion for building user-centered products, with the ability to think strategically while maintaining a strong attention to detail.
• Proven experience in internet product management, especially in AI-related products, combined with a strong sense of ownership and the ability to lead projects autonomously.
• Excellent analytical and creative skills, able to translate market insights into actionable product strategies. Experience in international markets like Southeast Asia or Japan is a plus.
• Strong English and Chinese communication skills, especially in drafting clear documentation and presentations.
• Technical background in big data, AI, XR, Web3, or gaming is a plus, along with a keen interest in art, design, and interaction aesthetics.
• Strong focus on delivering exceptional user experiences, always seeking opportunities for improvement.
Responsibilities
• Lead the product vision, strategy, and roadmap, ensuring it meets user needs and aligns with business goals. Drive product innovation through market research, competitor analysis, and collaboration with key stakeholders.
• Oversee end-to-end product development, working cross-functionally to deliver AI-driven solutions with a strong focus on user experience and high-quality execution. Develop and refine user personas, stories, and wireframes to guide design.
• Foster partnerships and customer engagement to co-create solutions, ensuring continuous product improvement through data analysis and feedback loops. Experiment with creative product ideas that balance practicality with innovation.