Product Lead, AI Money Movement

About KIRA

Our mission is to make money smart, reliable, and within reach for everyone. In 2019, we built the first mobile-first, insurance platform, enabling insurance to be accessible online by millions in the region. Today, it's the leading insurance platform in Southeast Asia. We are expanding our offerings to include spending, saving, investing, exchanging, travelling, and more, aiming to empower users with tools for financial ease and self-reliance. We believe AI will be instrumental in achieving this vision.

We seek talented, driven individuals who are passionate about building great products, not just maintaining the status quo. Join our diverse, global team of over 20 nationalities and help us redefine financial applications for everyone.

What You'll Own

• Own a vertical end-to-end: outcomes, metrics, backlog prioritization, and acceptance criteria.
• Shape technical design with engineering, focusing on system boundaries, money-movement correctness (idempotency, ledgering, reconciliation), third-party rail reliability, failure/retry/refund paths, security, latency, scalability, and recovery.
• Make and defend critical trade-offs across correctness, speed, cost, reliability, and user experience to engineering, compliance, and operations leads.
• Integrate regulated constraints (licensing, CDD/KYC, sanctions, transaction monitoring, data residency) as first-class product inputs.
• Apply AI pragmatically: define decision-making authority, human-in-the-loop requirements, evaluation strategies, and fallback mechanisms for AI uncertainty. Ensure AI outputs trace back to real records.
• Ship against external gates by building feature-complete products behind flags and launching per partner and regulatory clearance.
• Collaborate closely with Engineering, Design, Compliance, Operations, Treasury, and Finance/Reconciliation teams.

What We're Looking For

• Product Leadership: Significant experience owning complex technical products end-to-end; strong judgment and decisiveness under ambiguity; ability to balance ambition with technical, regulatory, and operational realities; capability to engage effectively with senior engineers.
• Technical Foundation: Solid understanding of system design (boundaries, datastores, queues/workflows, APIs, failure modes, concurrency consistency); comfort reviewing and challenging design documents; ability to sketch architectures and sequences. Technical depth without necessarily writing production code.
• Domain Expertise: Experience in a regulated/high-consequence domain (e.g., payments, banking, remittance, insurance) or demonstrable rapid learning ability; understanding of the unique challenges of money movement (correctness over convenience, irreversible states, managing external partners).
• AI Judgment: Hands-on experience with LLM-based products; ability to frame features as evaluable (offline, online, human feedback); realistic assessment of hallucination, drift, and data gaps; understanding of data-blocked vs. model-blocked scenarios and when AI should not be in the loop.
• Nice to Have: Engineering or highly-technical PM background; experience with zero-to-one product launches; shipped AI-heavy consumer products; defined evaluation metrics for ML/LLM systems; AI UX and failure-handling intuition; SEA market experience.

Outcome

• Clear vertical strategy and a legible roadmap.
• Fast, gate-clearing releases.
• Accurate money movement and transparent user fund status.
• Valuable, predictable, and trusted AI features.
• Deliberate trade-offs made under uncertainty that withstand scrutiny.
• Aligned and low-friction collaboration across Engineering, Design, Compliance, and Operations.

Location

This is a remote role. We hire globally and operate across multiple countries and time zones. Candidates should be comfortable working effectively in a distributed, fast-moving international team and collaborating across different locations.

Language

English is our primary working language. Strong English communication skills are required.

Interview Process

Our process is designed for speed:

1. Online assessment or practical task
2. Technical interview
3. CEO / final round

For strong candidates, we aim to complete the process and make an offer within 1 week from the start of the interview. Prompt completion of assessments will be prioritized.