Technical Product Manager
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Job Description
Technical Product Manager for fintech superapp, overseeing product vertical in Southeast Asia. Collaborates across teams to shape product design and delivery.
Responsibilities:
- Own a vertical end-to-end — outcomes and metrics, a backlog prioritised by value / risk / dependency / strategic priority, acceptance criteria crisp enough to build and test against.
- Shape the technical design with engineering — system boundaries, money-movement correctness (idempotency, ledgering, reconciliation), third-party-rail reliance and rail-down behaviour, failure/retry/refund paths, security, latency, scalability, recovery.
- Make hard trade-offs across correctness, speed, cost, reliability and UX — and defend them to an engineering, compliance or ops lead who pushes back.
- Treat regulated constraints as first-class product inputs — licensing scope, CDD/KYC and limits, sanctions/PEP screening, transaction monitoring, data residency and privacy. Know which are hard launch gates and which are forward-readiness.
- Apply AI where it earns its place — define what it's allowed to decide, where a human stays in the loop, how it's evaluated, and what it does when unsure. Every AI-surfaced number traces back to a real record.
- Ship against external gates — build feature-complete behind flags; go live per rail as each partner and regulatory gate clears.
- Work across Engineering, Design, Compliance, Operations, Treasury and Finance/Reconciliation.
Requirements:
- Product leadership — significant experience owning a complex technical product end-to-end; strong judgement and decisiveness under ambiguity; ability to balance ambition against technical, regulatory and operational reality; can hold their own with senior engineers.
- Technical foundation — solid system design (boundaries, datastores, queues/workflows, APIs, failure modes, consistency under concurrency); comfort reading, reviewing and challenging design docs; can sketch an architecture and a sequence. No production code, but technical enough that engineers don't have to simplify.
- Domain — experience in a regulated / high-consequence domain (payments, banking, remittance, insurance, …) or demonstrable fast-ramp ability; understands why money movement is different (correctness over convenience, irreversible states, partners you don't control).
- AI judgement — hands-on with LLM-based products; can frame a feature as eval-able (offline, online, human feedback); realistic on hallucination/drift/data gaps, including data-blocked vs model-blocked and when a model must not be in the loop at all.
- Nice to have — engineer or highly-technical-PM background · zero-to-one · shipped AI-heavy consumer products · defined eval metrics for ML/LLM systems · AI UX + failure-handling intuition · SEA market experience.
Benefits:
- Work remotely from Hong Kong.
- Diverse teams working globally.
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