About us
Gogolook is a leading TrustTech company founded in 2012 and listed on the Taiwan Stock Exchange in 2025 under the stock code 6902. With "Build for Trust" as its core value, the company has expanded its business from Asia to Europe and America. Gogolook’s AI technology is built on the world's largest database of digital scam data, encompassing phone numbers, websites, virtual currency wallet addresses, and other factors.
The company provides diverse anti-scam and fintech services for both consumers and businesses. Its anti-scam offerings include the digital anti-scam app "Whoscall" and a range of enterprise scam prevention solutions in combination with "ScamAdviser."
The Fintech BU empowers consumers through data-driven financial services and inclusive lending: Roo.Cash（袋鼠金融）offers transparent matchmaking for financial products like credit cards, while JUJI（招財麻吉）provides an innovative microloan service for rapid, convenient funding during urgent financial needs.
A foundation 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 and Shibuya City government, the Philippines Cybercrime Investigation and Coordinating Center, and the Royal Malaysia Police and state government to fight scam, dedicated to creating a "scam-free environment."
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. About US We are a B2B data intelligence company specializing in risk analytics, predictive modeling, and alternative data insights for financial institutions and digital platforms. Our solutions support banks, fintech lenders, and e-commerce platforms in enhancing risk assessment, strengthening fraud detection and prevention, improving customer profiling and segmentation, and leveraging alternative data for predictive modeling. Our offerings include API-based risk intelligence services, feature datasets for customized predictive model building and scorecard development, and broader data-driven decision support solutions that integrate directly into client decision engines and operational workflows. We are expanding in Thailand and looking for a high-caliber Business Development Manager with strong fintech domain knowledge and technical fluency who can drive real deal progression.
For more details on IRIS (Intelligent Risk Integrated Solutions), please refer to Identity Suite on the website. Role Overview
The Thailand BD Manager will be responsible for driving revenue growth and PoC conversion in the Thai market. This role requires strong client problem diagnosis capability, product sense, and the ability to translate financial institution use cases into actionable data solutions. This is not a pure lead-generation role. The successful candidate must demonstrate the ability to:
- Confidently engage risk, IT, compliance, and business stakeholders in both technical and commercial discussions to understand requirements and decision criteria.
- Translate client use cases into clear product alignment strategies, structuring PoCs with defined success metrics (e.g., approval rate uplift, bad rate reduction, fraud catch rate, model performance improvement).
- Drive PoCs toward commercial contract conversion by ensuring measurable business impact and executive buy-in.
- Identify where deals are stalled, diagnose client roadblocks, and proactively resolve bottlenecks to accelerate deal progression. The ideal candidate is comfortable discussing credit risk concepts, API integration structure, data schema alignment, and model output interpretation.