【E-Com】Product Manager Lead

Salary: Competitive / Location: Taipei - Participate in the design of the platform's core search and recommendation system to promote the upgrade of personalized experience, so that each user can enjoy a tailored exploration journey. - Work closely with data science, engineering, and design teams on cross-functional projects to achieve product goals and facilitate knowledge exchange among team members.

Keywords: Product Management, Recommender Systems, Search Experience, Cross-Departmental Collaboration, Data-Driven, A/B Testing, User Conversion, Team Leadership

What will you do:

As a Product Manager team lead, you'll be involved in all aspects of the planning, execution, and optimization of the platform's search and recommendation experiences. In your day-to-day work, you need to deeply understand user needs, put forward specific improvement plans based on data analysis results, and make good use of advanced algorithms to improve the quality of personalized services. In addition, you'll lead cross-departmental project collaboration to ensure that features go live on schedule and with the desired results. When leading a team, you need to motivate people to work together towards their goals, while maintaining a good communication atmosphere so that everyone can do their best in a supportive environment. Your efforts will directly impact the discovery journey of millions of users and will also drive the platform to continue to grow in a competitive market.

• Based on the user's past search behavior, click history, and purchase history, design and optimize personalized recommendation logic to improve the platform conversion rate.
• Collaborate with the data science team to introduce advanced recommendation algorithms, including vector search and deep learning models, to enhance the accuracy and diversity of recommendations.
• Analyze user habits and preferences, and automatically adjust the layout configuration of search results pages and recommendation modules to improve the interactive experience.
• Lead A/B testing and dynamic UI/UX adjustments to effectively evaluate the impact of product revisions on user behavior and continuously optimize them.
• Lead the search and recommendation experience team, set clear goals and help members realize their potential, and jointly drive the implementation of product strategy.
• Work closely with cross-functional teams such as engineering and design to ensure that projects are executed smoothly and achieve desired outcomes.
• Track and analyze key product metrics and apply data-driven decision-making to continuously improve product competitiveness.
• Research market trends and emerging technologies and propose innovative solutions to stay ahead of the platform.

What do you bring:

You will bring a rich background in product management, not only familiar with various recommendation system architectures, but also flexible to use the latest algorithms to solve practical problems. In your past career, you have demonstrated an excellent ability to collaborate across departments and effectively integrate talents from different fields to achieve goals. At the same time, you're data-sensitive and adept at extracting insights from vast amounts of information and developing actionable strategies. When faced with complex challenges, you can always listen openly to your partners and work together to find the best solutions. In addition, you are willing to share knowledge, support the growth of team members, and invest time in emerging technologies to improve your professional skills. In this Product Manager role, you'll use your experience and skills to lead teams that push the boundaries of what they can do.

• Demonstrated collaboration and communication skills with more than eight years of experience in product management and more than three years of experience leading PM or cross-functional teams.
• Familiar with the fundamentals of search and recommendation systems and algorithmic trends, such as collaborative filtering, reranking, and LLM applications.
• Experience in cross-departmental collaboration, able to effectively integrate data science, engineering and design resources to drive project progress.
• Proficient in data-driven decision-making processes, including A/B test design, execution, and product metrics analysis.
• Those who have participated in the planning or optimization of e-commerce, content platforms or large-scale user products, and have rich practical experience in the industry are preferred.
• Practical experience in Vector Search and Embedding-based Recommendation is a bonus to meet the challenges of complex recommendation scenarios.
• Familiarity with LLMs in search and recommendation scenarios, such as Query Rewrite and Semantic Search, is a plus.
• Those who have worked on large-scale recommender systems or search engine design and optimization projects are especially welcome, as they can quickly integrate into the team and contribute their expertise.

What makes this company different:

The company is committed to creating an inclusive, diverse and supportive work environment where every member is encouraged to express their ideas and actively participate in the decision-making process. Not only that, the company attaches great importance to the career development of employees, and provides comprehensive training resources and internal rotation opportunities so that you can accumulate valuable experience in different fields. In addition, the company advocates a flexible working system, so that you can balance life and work; At the same time, we also attach importance to team spirit, believing that only mutual trust and sharing of knowledge can create maximum value. If you're looking forward to working on a platform that respects diverse perspectives, encourages innovative thinking, and values employee well-being, the company is the right place to achieve your career aspirations.

What's next:

If you love data-driven product management and are eager to lead your team to create excellence and use your expertise to change the user experience, don't miss this incredible opportunity!

Apply now, simply click the link below to submit your resume and seize the golden moment to join the top platform product team!