Product Manager (User Growth in Thailand)

Key Skills

Analytical and Problem solving, Apache, Apache Hadoop, NoSQL, Python Programming, PyTorch, Sass, SQL

Job Description

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.

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 Police Cyber Taskforce and the Fukuoka city government to fight fraud and ultimately, to build a trustworthy communication network across the world.

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.

Whoscall mission is to help people in making smart and secure decisions for all unknown communication.

We protect people from fraud, harassment, scam calls, messages, or all known communication. Building a space for trustworthy communication is our commitment to people. Whoscall is loved by over 15 million people around the world.

With anti-fraud technology as the core, Whoscall is also expanding from call identification personal to personal fraud risk management; we aim to establish a fraud prevention network that safeguards individuals and fosters trust in communication.

Who we are:

• The industry-leading caller ID app, identifies unknown calls in real-time and filters out spam calls through an AI-powered system and massive database.
• A team of 70 people from different countries spread across our headquarters in Taiwan, Thailand, Japan, Malaysia, Philippines, and Brazil.
• Whoscall belongs to TPEx-listed trust-tech company Gogolook Inc.

As a Product Manager (User Growth in Thailand)

In the short term, we would like you to drive the expansion of Whoscall in the Thai market, increasing the number of new user installations and retention. In the medium to long term, you will assist the product team in meeting the various needs of Thai users regarding unknown caller identification and fraud prevention, thereby increasing the number of active users and monetization capabilities.

You will collaborate with Thai designers (new position), marketing, and business teams to analyze customer needs, validate value propositions, and translate them into specifications for the Taiwan development team to work on.

What do we expect from you

• 5+ years of experience in product management with a proven track record of delivering successful consumer products.
• A strong track record of success in the Southeast Asian region is preferred.
• Extensive work experience in Thailand. Fluent in spoken and written Thai and English, the ability to communicate in Chinese is a plus.
• Strong leadership and communication skills, with the ability to motivate and inspire teams.
• Excellent problem-solving skills with a strategic and analytical mindset.
• Strong user empathy and the ability to translate user needs into product requirements.
• Experience working in a fast-paced environment with multiple stakeholders.
• Passionate about innovation and staying up to date with the latest trends in product management.
• Solid technical understanding of both front-end and back-end development.
• Experience with App development.
• Strong analytical mindset, with experience using data to make product decisions.