YouTrip is the leading and fastest-growing multi-currency payment platform in Asia Pacific. In 2018, we pioneered the region's first multi-currency digital wallet. Now, YouTrip is the #1 multi-currency digital wallet trusted by millions across the region, processing over US$15 billion in total payment value annually.
Our consumer and business propositions – YouTrip and YouBiz – empower individuals and businesses with inclusive, accessible, and affordable financial solutions. YouTrip has raised over US$110 million to date, including its recent Series B round led by global venture capital firm Lightspeed Venture Partners—underscoring strong investor confidence in its mission to transform digital financial services across the Asia Pacific.
Recognised as World Economic Forum’s Global Innovator 2025, CNBC’s World’s Top Fintech Companies (2025, 2024), and LinkedIn’s Top Startup (2024, 2023), YouTrip is dedicated to creating the next generation of digital finance services for consumers and businesses.
Valuing an entrepreneurial culture of diversity and inclusion, we are seeking driven individuals to join our fast-growing regional team as we push the boundaries of innovative fintech solutions.
About The Role
We are looking for an Associate Data Product Manager to join YouTrip's Data & Analytics team, building and running the data products the company relies on: AI agents, decision-support products, metrics and analytics services.
A Data Product Manager designs, builds, ships and then runs the product. You will write production code alongside AI coding agents, and you will own what the product achieves in the business, not just its launch. You'll partner with AI coding agents to build production systems, and once something's live, it's still yours: you monitor it, fix it, improve it, and drive its adoption.
This role reports to the Director of Data & Analytics and works closely with business, operations, engineering and country teams.
You Will:
- Own and drive product initiatives, features, and workstreams end to end, from problem definition, data requirements, build, evaluation, launch, and running the product after launch
- Write and ship production code with AI coding agents to our engineering standard, and review what the agent produces before it ships
- Build the evaluation suites that gate releases: accuracy, guardrails, regression sets
- Monitor your live products daily: watch accuracy, usage and failures, fix what breaks, and continue to improve the product
- Drive adoption of what you build and measure it, from training users, chasing usage, and changing the product when required
- Own and report the business impact of your products in numbers: e.g. tickets resolved, hours saved, decisions made faster, errors avoided
- Translate business questions into executable specifications, such as data definitions, user stories, acceptance criteria with a measurable bar
- Collaborate closely with the people who use what you build — CS agents, finance analysts, and country teams to turn real operational pain points into working solutions
- Write the documentation that lets someone else run it: runbooks, design notes, evaluation reports, training materials, etc.
You Are:
- 1–3 years of hands-on experience building products, software, or data/AI systems
- Solid programming fundamentals, comfortable writing and understanding production code
- Clear communicator in writing and in person, and the ability to work closely with both technical and non-technical teams
- Strong problem-solving skills, comfortable working with AI coding agents, and the judgment to know when AI-generated code is right and when it isn't — you use AI for speed and stay responsible for the result
- Structured thinker who can determine works that matter, and break down messy problems into practical, executable solutions before building
- Define and track product and operational metrics such as conversion rates, campaign performance, engagement rates, and operational SLAs
- Having an ownership mentality, comfortable owning outcomes, not just deliverables, and accountable for what the product does after it ships
- Curious, fast learner, comfortable with ambiguity and shifting priorities
Good to Have:
- Shipped or evaluated LLM-powered features in production
- Exposure to fintech, payments or another regulated environment
- Warehouse experience (BigQuery, Snowflake, or similar), dashboards, or metrics-layer work
- A genuine interest in travel and overseas spending — you think like our users