Skip to main content
BJAK

Technical Product Manager - AI Finance App

RemoteWorldwide
Published
Role
Unknown
Employment
Full-time
Salary not disclosed
Check eligibility

Open to Worldwide. Set where you work from to check your eligibility.

No BS summary

Own a vertical end-to-end for an AI finance app: shape technical design with engineering, make trade-offs across correctness/speed/cost/reliability/UX, treat regulated constraints as product inputs, apply AI where it earns its place, ship against external gates, and work across Engineering, Design, Compliance, Operations, Treasury and Finance/Reconciliation.

Core skills

LLM/AIsystem design/APIs/datastores/queues/workflows

Required skills

idempotency/ledgering/reconciliationKYC/CDD/sanctions screening/PEP screening/transaction monitoring/data residency/privacy

Optional skills

engineer or highly-technical-PM backgroundzero-to-oneshipped AI-heavy consumer productsdefined eval metrics for ML/LLM systemsAI UX + failure-handling intuitionSEA market experience

Required languages

English Strong English communication is required.

What you'll do

  • 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

What they require

  • 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.

AI Neobank (financial services) building mobile banking experiences

🇭🇰 Hong Kong SAR ChinaFintechStartupbjak.my/

What people say about this company

2.6/ 5

Salary not disclosed