Remote AI-Driven Fintech Product Lead

JobsinAustria

Österreich

On-site

EUR 120,000 - 160,000

Full time

14 days+

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Job summary

KIRA is building an AI-native Neobank Superapp for Southeast Asia across payments, remittance, insurance, wealth and trading. The Technical Product Lead owns a product vertical end-to-end, from strategy and outcomes through technical design, delivery and launch.

We are AI-native by default; AI is a means, not the goal. The role focuses on where AI truly improves outcomes, keeping deterministic systems under control, and building reliable, auditable products that users can trust.

Qualifications

  • 5+ years of product management experience owning complex technical products.
  • Strong foundation in system architecture, APIs and distributed systems.
  • Experience collaborating with engineers to review technical designs.
  • Experience in payments, remittance, banking or regulated domains.
  • Ability to balance trade-offs under regulatory and operational constraints.
  • Experience building with AI/LLMs, evaluating reliability and safety.

Responsibilities

  • Own a product vertical end-to-end from strategy to delivery.
  • Shape technical design with engineering across APIs, data flows, and security.
  • Drive trade-offs across correctness, speed, cost, and user experience.
  • Build regulatory requirements into the product (KYC, monitoring, licensing).
  • Apply AI where it improves outcomes with safeguards and oversight.
  • Coordinate with external dependencies and partners for launches.
  • Align cross-functional teams around launch requirements.

Skills

Product management
System architecture
APIs
Payments domain
AI/LLMs
Regulatory awareness

Job description

KIRA is building an AI-native Neobank Superapp for Southeast Asia across payments, remittance, insurance, wealth and trading. The Technical Product Lead owns a product vertical end-to-end, from strategy and outcomes through technical design, delivery and launch.

We are AI-native by default; AI is a means, not the goal. The role focuses on where AI truly improves outcomes, keeping deterministic systems under control, and building reliable, auditable products that users can trust.

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