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    Product Operations Intern , Data Infrastructure (Spring 2027)

    Shopee

    Singapore, SingaporeInternship27 Oct 2026

    About this internship

    About The Team Shopee will be prioritizing applicants who have a current right to work in Singapore, and do not require Shopee sponsorship of a visa. Kindly note that you can only be considered in one recruitment process at a time within Sea Group and will be considered for jobs in the order that you have applied. The Data Infrastructure team is responsible for building a stable, efficient, secure, and easy-to-use big data infrastructure and platform for the company. Committed to providing the company's various business teams and data teams, data analysts, machine learning teams, BI teams, etc. with its data-efficient and stable data storage, calculation, query, and analysis of the big data basic system; development and production platform, and data analysis platform. Job Description Product Promotion & Campaign Execution: Plan online promotional campaigns aligned with product launches, version updates, and key business milestones. Drive content creation, channel distribution, and performance retrospectives, managing campaigns end-to-end from initial strategy to execution. Product Content & Channel Operations: Translate technical product capabilities into engaging, easy-to-understand content, including launch emails, product overviews, user guides, use case studies, and demo videos. Manage owned channels such as user groups, newsletters, and product landing pages. Product Operations & Experience Optimization: Monitor user adoption and usage metrics, gather and analyze user feedback, and identify friction points in onboarding and daily usage. Collaborate with Product and R&D teams to continuously drive operational and user experience improvements. User Engagement & Requirement Tracking: Interface with business users to understand their workflow scenarios, track user experience, handle issue reports, and monitor feature request progress. Document common issues and best practices to build reusable guidelines and case studies. Requirements Requirements Current undergraduate or graduate student with a strong interest in Big Data, AI, or enterprise products, and a proactive drive to learn about product features and domain knowledge. Proven capability in planning and executing online campaigns, with the ability to break down tasks, cross-coordinate resources, track progress, and deliver tangible results. Strong written communication skills—capable of explaining complex features clearly and tailoring content tones for different channels (user groups, email campaigns, product pages, etc.). Patient, proactive communicator who can accurately capture user needs, understand pain points, and follow up consistently until resolution. Responsible, organized, and capable of multitasking with a high attention to detail and delivery quality. Preferred Qualifications Prior internship or project experience in product operations, user operations, content operations, or event/campaign planning. Hands-on experience using or operating AI tools, data analytics platforms, SaaS, or enterprise software products. Proficiency with AI tools for designing collateral, video editing, or building HTML promotional emails. Basic data analysis skills, with the ability to evaluate campaign and product performance through key metrics.