Senior Product Manager (Roo)

About Us
Gogolook is a leading TrustTech company established in 2012. With "Build for Trust" as its core value, it aims to create an AI- and data-driven global anti-fraud network as well as Risk Management as a Service. From multi-communication to fintech, and SaaS, Gogolook creates trustworthy empowerment with the use of technology in various fields.

A founding member of the Global Anti-Scam Alliance (GASA), Gogolook has also teamed up with a number of institutes such as the Taiwan National Police Agency Criminal Investigation Bureau, the Financial Supervisory Service of South Korea, Thai Royal Police, the Fukuoka city government, the Philippines Cybercrime Investigation and Coordinating Center, and the Royal Malaysia Police and state government to fight fraud and ultimately, to build a trustworthy communication network with the largest number database in East Asia and Southeast Asia. In July 2023, TrustTech provider Gogolook completed its IPO listing on the Taiwan Innovation Board (TIB) of the Taiwan Stock Exchange (TWSE), under the ticker number 6902.

Why you should join Gogolook

• Influential products: What we make are meaningful products that create values for society and defend against frauds
• Emphasize self-growth: We encourage technical community activities, subsidize tickets for conferences and workshops so that learning is continuously supported by the company
• Unleash your talent: We respect the professional opinions of everyone, encourage team members to discuss with each other, and make awesome products together
• Transparent culture: We publicly share the company's information to all, every member can read and feedback, and become a part of participating in the proposal
  
  
  
  
  

Mission

You will support our consumer-based product - Roo(roo.cash) to help users find suitable financial products. The goal of your role is to achieve business outcomes by improving product and user acquisition costs. If you are looking to gain comprehensive experience in developing data features from the ground up, this position offers an ideal opportunity for significant professional growth.

The ideal candidate will focus on these product goals:

• Data System & Tracking: Design and implement robust data tracking systems. Optimize Tracking QA processes to ensure the highest standards of data accuracy and quality
• EDM & CRM: Utilize both qualitative and quantitative analysis to identify key breakpoints in the user journey. Develop and implement notification strategies to enhance user retention and re-engagement, thereby improving remarketing outcomes
• Customer Data Platform Enhancement: Maintain and enhance BI systems. Collaborate with analysts to develop comprehensive reports and dashboards. Support cross-functional teams in defining problems, refining scopes, and establishing key performance indicators (KPIs) for automated tracking
• Recommendation Model Upgrade: Partner with the Data Team to develop and refine product recommendation models. Focus on improving personalized recommendations to increase conversion rates
• User Behavior Deep Dive: Integrate business insights, data mining techniques, and analytical solutions to provide strategic recommendations to stakeholders
• Enhancement of Experiment System: Develop better experiment capabilities for the team to run different types of A/B tests. Support the team to Convert data insights into actionable steps to drive iterative product development and improvement
  
  
  
  
  

Requirements

• Minimum 5 years of product management in Internet products/financial services
• Have 1-3 years of experience working with data analysts/ data scientists
• Experience in data analysis to find insights, especially good at SQL & Google Analytics
• Passionate about solving problems – possesses a relentless need for investigation and data exploration
• Proven ability to influence cross-functional teams without formal authority; be able to communicate effectively with engineers, designers
  
  
  
  
  

Nice to have

• Experience in using BI tools such as Tableau, Superset or Amplitude
• Experience in e-commerce, online media, or fintech
• Solid understanding on data ETL process