Technical Product Manager - AI Stockbroking App

About the role

KIRA, a leading insurance platform in Southeast Asia, is building an AI stockbroking superapp covering payments, remittance, insurance, wealth and trading. The Technical Product Manager owns a product vertical end-to-end, from strategy and roadmap through technical design, delivery and launch. The role is hybrid, with at least three days per week in the local office and the rest flexible, and requires a candidate based in or able to work from the advertised location.

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 between 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 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 and reliability.
• Strong English communication; the main working language across global teams.

Nice to have

• Engineering or highly technical product background.
• Experience building zero-to-one fintech or consumer products.
• Experience defining evaluation frameworks for ML or LLM-powered products.