Technical Product Lead - AI Stockbroking

About the role

BJAK is building an AI Stockbroking Superapp for Southeast Asia covering payments, remittance, insurance, wealth and trading, and is hiring a Technical Product Lead. The role owns a product vertical end-to-end, from strategy and roadmap through technical design, delivery and launch. It is a remote position open to global candidates, with English as 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 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.
• Ability to review, challenge and contribute to technical designs with engineers.
• 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.