Technical Product Manager - AI Finance

About this role

About BJAK The original mission of BJAK is we believe people deserve smarter ways to plan, save and grow their money. This is the origin of our name. Started in 2019, we built the first mobile-first, insurance platform, enabling insurance to be accessible online by millions in the region. Today, its the leading insurance platform in Southeast Asia. Today, we are expanding ways to help people in the region — this includes spending, saving, investing, exchanging, travelling, and more.

Our mission is help people get more from their money every day. We have teams working around the world, with over 20 nationalities from our offices and remotely, who truly enjoys their work. We are looking for the most talented and driven people we can find. We are looking for people who work for their passion, not counting hours. Who loves building great next-generation products, not status quo. Who cares about redefining how everyone around us can get the best financial applications, not for an exclusive few.

If you're this person, we'd love to talk to you. The Role BJAK is building a AI Finance Superapp for Southeast Asia across payments, remittance, insurance, wealth, and trading. These products move real money. Reliability, regulatory requirements, and third-party financial rails are fundamental to the product - not considerations around the edges. The Technical Product Manager owns a product vertical end-to-end , from strategy and outcomes through technical design, delivery, and launch.

We are AI-native by default, but AI is a means, not the goal. The bar is knowing where AI genuinely improves an outcome, where deterministic systems must remain in control, and how to build products that are reliable, auditable, and trusted. What You'll Own Owning a product vertical end-to-end, including strategy, metrics, roadmap, priorities and delivery. Shaping technical design with engineering across APIs, data flows, ledgering, reconciliation, failure handling, security and scalability.

Driving trade-offs across correctness, speed, cost, reliability, regulatory requirements and user experience. Building regulatory requirements into the product across KYC, transaction monitoring, limits, privacy and licensing. Applying AI where it improves outcomes, with clear evaluation, safeguards, human oversight and failure handling. Shipping products around external dependencies, including regulatory approvals, financial rails and third-party partners.