Salary
≈ $94k – $242k per year (Estimated)
Location
In office (Singapore)
Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Sep 24, 2026.
Overview
Company
Impact
Profile match
Shopee is a multinational technology company and e-commerce marketplace platform operating as a subsidiary of Sea Limited. The company provides a hybrid B2C and C2C digital marketplace offering retail products, integrated digital payments and financial services via ShopeePay/SeaMoney, and end-to-end logistics and fulfillment solutions through SPX Express. Headquartered in Singapore, the platform serves millions of consumers and merchant partners across Southeast Asia, Taiwan, and Latin America.
- Support the development and rollout of AI-enabled products and initiatives, from problem definition to launch and iteration
- Work closely with engineering, data science, and domain teams to translate business needs into product requirements
- Assist in defining product metrics, success criteria, and basic evaluation frameworks for AI initiatives
- Contribute to AI workflows, documentation, and best practices to support scalable adoption
- Help build and maintain dashboards, reports, and presentations to track AI progress and outcomes
- Participate in cross-functional and cross-market coordination, supporting execution and follow-ups
- Stay updated on AI and GenAI trends, learning how new capabilities can be applied to real-world product use cases
- Bachelor’s degree in Computer Science, Data Science, Engineering, Business, or a related discipline
- Strong interest in product management, AI, automation, or data-driven problem-solving
- Exposure to AI concepts (e.g. machine learning, LLMs) through coursework, projects, internships, or hackathons
- Comfortable working with data, metrics, and basic dashboards
- Clear and structured communication skills
- Strong ownership mindset, curiosity, and willingness to learn in a fast-paced environment
- Internship experience in product, technology, strategy, or operations roles
- Experience building prototypes, internal tools, or participating in hackathons or case competitions
- Familiarity with SQL, Python, or analytics tools
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