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Bjak

Product Engineer - AI Neobank

  • Confirmed live in the last 24 hours
  • No salary listed
  • Mid level
  • Full-time
  • Remote · United States
  • Added 1 month ago

About this role

KIRA is seeking a Product Engineer to own financial product areas within their AI-powered neobank serving Asia and beyond. You'll define product direction, collaborate across engineering, design, and compliance teams, and launch features that simplify complex financial services for users.

What you'll do

  • Own product areas across insurance, payments, savings, investing, travel or other financial services
  • Define user problems, product scope, success metrics, roadmap and launch plans
  • Collaborate with engineering, design, data, operations, compliance and business teams
  • Transform complex financial products into simple, intuitive user experiences
  • Use data, user feedback, research and production metrics to inform product decisions
  • Launch features, monitor performance and drive iterative improvements

What they're looking for

  • Product management and ownership
  • Complex problem simplification and workflow design
  • Cross-functional collaboration with engineering and design
  • Data analysis, metrics definition and experimentation
  • Fintech, insurance, payments or consumer app domain knowledge
  • Prioritization and stakeholder management
  • Quick decision-making with incomplete information
  • Written and verbal communication
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Bjak

Bjak is a Southeast Asian fintech super app offering insurance, payments, savings, wallets, and investment products through a unified platform. The company is hiring full stack engineers, backend engineers, iOS developers, and Android engineers to build scalable features and reliable systems across mobile and web products.

Industry
Banking & Finance
Website
bjak.com
View all jobs at Bjak

Likely interview questions

  • Tell us about a complex financial or consumer product you shipped—how did you simplify it for users and what metrics showed success?
  • Describe a time you had to make a product decision with incomplete data. What was your approach and outcome?