Technical Product Manager - AI Investing

The Role
BJAK is building a AI Investing 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.

Aligning Engineering, Design, Compliance, Operations, Treasury and Finance around clear product decisions and launch requirements.

What We're Looking For
5+ years of product management experience, including ownership of complex technical products from strategy through production.

Strong technical foundation across system architecture, APIs, databases, workflows, failure modes and distributed systems.

Experience working closely with engineers and ability to review, challenge and contribute to technical designs.

Experience in payments, banking, remittance, insurance, trading or another regulated, high-consequence product 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 understanding when AI should not be used.

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.