Trusting Social

Overview of job

Our vision is to build a Personal Banker for every Vietnamese citizen - an intelligent, empathetic, and always-available financial companion that helps ordinary people borrow, repay, and manage money affordably and with dignity. The Personal Finance Platform you will help build is the first step toward that vision.

How we work with AI

Trusting Social builds AI-powered lending in partnership with banks and financial institutions, and owns the full AI lending stack - fraud prevention, credit scoring, risk-based pricing, real-time integrations, and an AI agent. Just as important, we are remaking every team as a human–AI fusion: people set the direction and hold the judgment, while AI carries the analytical and execution load. In this role you will work alongside AI agents every day, and you will be expected to get more done, faster, because of how well you use AI.

About the role

You will join the product squad building the Personal Finance Platform, working directly with the Product Lead to ship the first launch in Q4 2026. This is a hands-on execution role: you turn product direction into detailed requirements, working software, and measurable outcomes.

What You'll Do

• Deep customer insight - continuously researching the financial pains, behaviours, and unmet needs of mass-market Vietnamese consumers, and turning them into product decisions.
• The end-to-end customer experience across the platform - making every journey simple, transparent, and trustworthy for first-time and underbanked users.
• Market and competitive awareness - tracking the consumer-finance market, competitor moves, and regulation, and keeping the product direction up to date.
• Feature discovery and detailed requirements - user stories, acceptance criteria, and PRDs - for your assigned journeys on the Personal Finance Platform.
• Launch execution - coordinating day-to-day with engineering, design, data, risk, and bank-partner counterparts to hit launch dates.
• Feature-level metrics - instrumenting, tracking, and reporting adoption and funnel performance, and proposing iterations from the data.
• Daily AI leverage - using AI tools to accelerate spec-writing, analysis, and testing, and verifying AI output against source data.
• Clear, timely communication to the squad and the Product Lead on progress, blockers, and trade-offs.