Technical Product Lead - AI Neobank

About the role

BJAK is building an AI neobank superapp for Southeast Asia covering payments, remittance, insurance, wealth and trading; the products move real money, so reliability, regulatory requirements and third-party financial rails are central. The Technical Product Lead owns a product vertical end-to-end, from strategy and outcomes through technical design, delivery and launch. The role is hybrid, with at least three days per week in the local office, and requires strong English.

Key responsibilities

• Own a product vertical end-to-end, including strategy, metrics, roadmap, priorities and delivery.
• Shape technical design with engineering across APIs, data flows, ledgering, reconciliation, failure handling, security and scalability.
• Drive trade-offs across correctness, speed, cost, reliability, regulatory requirements and user experience.
• Build regulatory requirements into the product, including KYC, transaction monitoring, limits, privacy and licensing.
• Apply AI where it improves outcomes, with clear evaluation, safeguards, human oversight and failure handling.
• Ship products around external dependencies such as regulatory approvals, financial rails and third-party partners.
• Align Engineering, Design, Compliance, Operations, Treasury and Finance around product decisions and launch requirements.

Required profile

• 5+ years of product management experience, owning complex technical products from strategy through production.
• Experience working closely with engineers and reviewing, challenging and contributing to technical designs.
• Experience in payments, banking, remittance, insurance, trading or another regulated, high-consequence domain.
• Strong product judgment and ability to make difficult trade-offs under technical, regulatory and operational constraints.
• Experience building with LLMs or AI products, including evaluation, reliability and knowing when AI should not be used.
• Nice to have: engineering or highly technical product background, zero-to-one fintech or consumer product experience, and experience defining evaluation frameworks for ML or LLM-powered products.

The interview process is fast: online assessment or practical task, technical interview, then CEO/final round, with offers aimed at being made within a week of starting interviews.