AI Builder

MoneySmart is Southeast Asia’s leading personal finance platform, helping consumers across Singapore and Hong Kong find the right financial products and make smarter decisions with their money. We’re at an inflection point: moving from a comparison platform to a genuinely personalised financial companion, and marketing is the engine that gets us there. Mission MoneySmart helps people compare and choose financial products: credit cards, loans, insurance, mortgages, savings, and investments. Some of those decisions are quick. Many are ones people make a handful of times in their lives, and most find them stressful. The online journey decides whether they trust us enough to take the next step, whether that happens on the site or with one of our advisors. Comparing financial products on our site today can feel heavier than it should: long forms, jargon, and decisions most people would rather not think about. Your job might be to pick one of those journeys, figure out what makes it feel that way, prototype two or three directions with AI tools, put them in front of real users the same week, and iterate on what you see rather than what you assumed going in. Most weeks look something like that. We're hiring someone who can take a fuzzy problem about how people make financial decisions and turn it into something real that users can touch, usually within days. Sometimes that's a rapid prototype that proves or kills a thesis. Sometimes it's a product that ships to production. AI tooling makes that speed possible, and we'll train you on our stack. The tooling is the easy part. The scarce part is judgment: knowing what's worth building, and the taste to tell whether what you've built is any good. One requirement is not negotiable: you've built and shipped something real. A prototype, a side project, a product. Other people used it, and you made most of it yourself. Managing builders or designing for builders doesn't count. When you apply, send us the thing you made. It's the first thing we'll look at. Who is this for  A PM who prototypes their own ideas and has shipped things with AI tools, usually because waiting on an engineering queue was too slow A designer who turned their Figma work into something interactive and live, and got hooked on that feeling An engineer who wants to own the whole problem and has strong opinions about both the experience and the implementation A founder or solo builder who has shipped products end to end, wearing every hat, and now treats AI as a force multiplier Responsibilities Talk to customers, advisors, and internal teams to find where our journeys break down, and turn what you hear into one-line problem statements worth betting on Take a loosely defined problem to a working prototype on your own, without an engineering pipeline behind you Ship code to production with AI agents, with GitHub as part of your normal workflow Decide the details users actually feel: the copy, the defaults, the number of steps, what gets ...