Technical Product Lead - AI Investing

About the role

BJAK is building an AI Investing Superapp for Southeast Asia covering payments, remittance, insurance, wealth and trading, and the products move real money. The Technical Product Lead owns a product vertical end-to-end, from strategy and roadmap through technical design, delivery and launch. The role is remote and open to candidates worldwide; English is the main working language.

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.
• Comfortable working in a distributed, fast-moving international team; strong English communication.

Required skills

• Strong technical foundation: system architecture, APIs, databases, workflows, failure modes and distributed systems.
• Experience building with LLMs or AI products, including evaluation and reliability.
• Nice to have: engineering or highly technical product background, zero-to-one fintech or consumer products, and ML/LLM evaluation frameworks.