Technical Product Manager - AI Stockbroking App

KIRA is a financial technology company building accessible digital financial products, including insurance and AI-enabled money tools. The Technical Product Manager will own complex financial product verticals end to end, shape technical designs, manage regulated product constraints, apply AI responsibly, and coordinate launches across engineering, compliance, operations, treasury, and finance teams.

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
• Candidates should be comfortable working effectively in a distributed, fast-moving international team and collaborating with colleagues across different locations
• Strong English communication is required
• • 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