Jobs at Gogolook Co., Ltd.

Design and run experiments (A/B and offline validation), perform statistical analysis and power calculations, prepare and govern datasets for model training, estimate value of data sources, and document experimental design and results to inform data-centric product decisions.

Support US expansion through market research, GTM planning, multi-channel campaign execution, performance tracking, and localized content creation (social media, short videos, newsletters, tutorials). Provide agile support on ad-hoc projects and assist cross-functional teams to optimize user acquisition and education.

Backend SDET responsible for designing and implementing automated API and data-pipeline tests, maintaining test frameworks and CI/CD pipelines, diagnosing flaky tests and environment issues, building internal testing tools, running performance tests (Locust/JMeter), and applying LLM/agent tools for test generation, log analysis, and failure attribution.

Lead backend design and development for enterprise anti-scam products. Build production-grade web crawlers, scalable API and ETL pipelines, integrate LLMs and AI coding agents, optimize performance, collaborate with PM/design, and reduce technical debt while driving architecture decisions.

Lead People & Culture strategy for a rapidly scaling, international TrustTech company. Drive organizational design, change management, culture shaping, internal communications, cross-border HR operations, policy design and HR team development. Serve as advisor to leadership and build scalable People systems to support international expansion and talent development.

Perform data-driven analysis for BNPL and microloan products: formulate testable hypotheses, design and analyze A/B tests and backtests, prepare transaction and repayment datasets, support credit risk model development/validation, and quantify strategy impacts on delinquency and loss metrics to inform product and risk decisions.

Build, train, evaluate, and deploy supervised and unsupervised ML models using company data. Perform data preprocessing, feature engineering, experiment design, statistical analysis, error analysis, and model optimization. Support packaging, CI/CD, containerized deployment, and monitoring. Collaborate via Git with engineers and product managers, document experiments and processes, and progressively take ownership of end-to-end ML solutions.

Lead Whoscall's product organization and strategy, guide a product management team, align cross-functional teams, drive AI-enabled product development, prioritize roadmap and resources, and measure product performance to grow retention, conversion, and revenue for fraud-prevention products.

Drive Thailand market growth by managing full sales cycle for fintech risk and data products: qualify prospects, design PoCs with measurable metrics, lead technical and commercial discussions, remove deal bottlenecks, and convert PoCs into commercial contracts through cross-functional collaboration.