Product Analyst (AI)

Responsibilities Assist in the design and refinement of AI-driven user interactions for Indonesian users, including prompts, conversation flows, and multi-turn guidance logic Provide local insights on Indonesian language usage, slang, mixed Bahasa–English expressions, and real user behavior to support AI interaction design Help translate financial and behavioral product scenarios (cashflow management, spending decisions, debt pressure, risk alerts) into AI-executable input structures and reasoning flows Support the collection, organization, and documentation of local data sources relevant to AI applications, such as bank statement formats, transaction descriptions, billing patterns, and common user inputs Assist in identifying where AI performs well or poorly in real Indonesian user scenarios, and provide concrete feedback to improve prompt quality and output reliability Support localization review and validation of AI outputs to ensure they are understandable, relevant, and trustworthy for local users Collaborate with product, engineering, and data teams to support iteration and rollout of AI features in production

Requirements Strong English communication skills, with the ability to work effectively in cross-border and cross-functional team environments (Mandarin proficiency is a strong plus) Strong interest in technology, AI, or large language model applications, with a basic understanding of how they can be applied in real product and user scenarios High sensitivity to user behavior, usage scenarios, and product experience, with the ability to identify issues in AI interactions or product flows from a user perspective Basic data handling and analytical skills, with the ability to support the collection, cleaning, and structuring of local data sources Strong learning ability, with the capacity to quickly understand core concepts in finance, payments, or related domains and translate them into practical product support Strong communication and collaboration skills, able to act as an effective bridge between local teams and global stakeholders