Business Development Manager - Thailand (IRIS)
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 (stock code: 6902), was listed on the Taiwan Innovation Board (TIB). In May 2025, Gogolook officially submitted an application to the Taiwan Stock Exchange for reclassification to the General Board, positioning it to become the first new economy software company to make this transition.
Why you should join Gogolook
1. Influential products: What we make are meaningful products that create values for society and defend against frauds.
2. Emphasize self-growth: We encourage technical community activities, subsidize tickets for conferences and workshops so that learning is continuously supported by the company.
3. Unleash your talent: We respect the professional opinions of everyone, encourage team members to discuss with each other, and make awesome products together.
4. 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.
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.
