AI Product Operations
15 hours ago
Responsibilities:
Headquarters Strategy Implementation: Understand the AI product operation strategies from headquarters and develop execution plans tailored to local market characteristics.
Localized Operations: Dive deep into the local market, identify user needs, and design operational activities that align with local culture.
KOC/KOL/Fan Resource Utilization: Collaborate with local KOCs (Key Opinion Consumers), KOLs (Key Opinion Leaders), and fan communities to promote AI features through social media, offline events, and other channels.
Marketing Planning: Design effective marketing campaigns to highlight the selling points of AI features, enhancing user awareness and purchase intent.
Data Analysis and Optimization: Monitor operational effectiveness through data and continuously optimize strategies.
Basic Information:
Age: 25-35 years old, with some experience in marketing and operations.
Education: Bachelor's degree or higher in Marketing, Business Administration, Communications, Artificial Intelligence, or related fields.
Language Skills: Fluent English (mandatory), additional languages relevant to the target market or Chinese are a plus.
Work Experience:
2-4 years of experience in marketing or product operations, with preference given to candidates with experience in AI products, smartphones, or the tech industry.
Led or participated in localized operation projects, able to align headquarters strategies with local needs.
Experience collaborating with KOCs/KOLs, capable of enhancing brand influence through social media.
Soft Skills:
Communication Skills: Ability to communicate effectively with headquarters teams, local partners, and KOCs/KOLs, and to collaborate across cultures.
Innovation Skills: Ability to design creative operational activities to attract user attention.
Execution Skills: Ability to quickly drive project implementation and focus on achieving business outcomes.
Bonus Points:
Experience in AI product or smartphone industry operations.
Familiarity with the basic principles of AI technology and ability to communicate effectively with technical teams.
Content creation skills (e.g., copywriting, video scripting).
Successful localized operation cases with data-driven proof of effectiveness.
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