Product Management - Recommendation
The Product Management team at Shopee is the key focal point between the developers, business functions and the design team. The team is responsible for implementing strategy, roadmap and feature, adhering to business goal. It covers all functions including payment, supply chain, marketing, listing, user acquisition, search and recommendation, paid ads, fraud etc. Join us to own a product that is impacting millions of people’s lives in Southeast Asia, Taiwan and Brazil.
Location: Singapore
At Shopee Recommendation, we connect customers to what they want at scale. Every day, we help millions of people discover relevant and interesting things they want to buy among billions of products available on Shopee. It’s an essential part of making Shopee the favorite e-commerce destination of Southeast Asia, Taiwan and Brazil. To do this, we index a wide range of information, develop advanced algorithms, run scalable infrastructure, and continuously optimize to satisfy every customer’s needs. We’re a young, dedicated, and passionate team of product managers, engineers, and analysts committed to creating convenient, delightful and intelligent discovery experience for our users. We’re looking for an (experienced) product manager to join us. You’ll own a part of recommendation: customer-facing features, item and user profiling, recommendation algorithms, infrastructure, and middleware platform. You’ll spearhead a cross-functional team to explore, execute, iterate, and deliver the best-in-class recommender system Shopee is positioned to build.
Job Description:
- Advocate for customers. Discover and understand their needs, work backwards from there. Do user and market research, collect feedback, and define requirements.
- Articulate and influence. Balance and align with cross-functional stakeholder, prioritize and focus so that the team can stay on the critical path.
- Drive product forward. Coordinate day-to-day development with incremental and iterative processes. Maintain and improve existing features, experiment and launch features.
- Reason with numbers. Understand and leverage data, metrics, experiments, and analytics to measure impacts, test hypotheses, and make decisions.
- Innovate and strategize. Creatively refine, optimize and expand recommendation capabilities and strategies in different user scenarios.
Requirements:
- Bachelor in Computer Science, Information Systems, Data Science or related field or experience in lieu.
- 1~3 years (junior) or 3+ years (senior) of product experience in the tech sector. Highly qualified non-product candidate with technical background WILL be considered.
- Understanding of Software Development Life Cycle (SDLC) practices, and project/execution skills.
- Good communication both as a speaker and a writer. Communicate complex business/technical information effectively with different audiences.
- Good analytical and quantitative skills, capable of critical thinking and data-based decision making.
- Strong ownership and team spirit. Bias towards actions. Open to feedback. Comfort with ambiguity and change, respond to evolving priorities quickly and systematically.
Preferred Qualifications:
- Master or MBA.
- Experience in software development, especially large-scale distributed systems.
- Understanding of programming, data science, and machine learning.
- Domain knowledge in one of the areas: recommender system, information architecture, data mining, consumer behavior, or e-commerce in general.
- Experience of working in sizeable and fast-growing organizations.
- Speak one of the languages besides English: Bahasa Indonesia, Chinese, Thai, Vietnamese, in order to communicate more efficiently with teams from one of our markets.
- Ability to speak and write in a Southeast Asian language (e.g. Bahasa Indonesia, Mandarin, Thai) in order to collaborate with teams from one of our markets