Technical Product Manager, Marketplace Intelligence & Data
Posted on July 29, 2025 by Shopee
- Singapore, Singapore
- N/A
- nan

The Engineering and Technology team is at the core of the Shopee platform development. The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. Shopee's hyper-growing business scale has transformed most "innocent" problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do.
Responsibilities:
- Drive end-to-end product development of technical projects, from ideation, data analysis, development, testing, launch and iterations.
- Conduct competitive analysis and market research to identify opportunities, gaps and areas of improvement for current solutions.
- Manage stakeholders’ expectations and project timelines and deliver projects in alignment with business objectives
- Collaborate with other product team, and work closely with data science and engineering teams to deliver technical solutions, including but not limited to identity verification services.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- 3+ years of experience in product management, with a focus on technical and data-driven products.
- Experience in SQL, model training, and excellent analytical, logical thinking, problem solving, stakeholder management, project management, product sense, communication and writing skills
- Strong domain knowledge in e-commerce, marketplace operations, data intelligence, and experience in e-commerce, Internet or IT companies.
- Experience working with large-scale data systems, including knowledge of data pipelines, analytics, and machine learning applications.
- Ability to work in a dynamic and agile environment
Advertised until:
Aug. 28, 2025
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