Technical Product Lead - AI Neobank

Bjak · Remote · Hong Kong ·
Fully remoteFull-timeLead8+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote (Global)
  • Technical Product Lead
  • AI Neobank Superapp
  • Fintech & Regulated Domain
  • Fast hiring process

You will lead a product vertical for BJAK's AI-native neobank, covering payments, remittance, insurance, wealth, and trading. This position requires balancing technical design, regulatory compliance, and AI integration to build reliable financial products.

The role demands close collaboration with engineering, compliance, and operations to ensure correctness, security, and scalability. You will define the roadmap and drive delivery while managing complex trade-offs in a high-consequence domain.

What you'll do

  • Own product vertical end-to-end including strategy, metrics, and roadmap
  • Shape technical design across APIs, data flows, ledgering, and security
  • Drive trade-offs between correctness, speed, cost, and reliability
  • Integrate regulatory requirements like KYC and transaction monitoring
  • Apply AI with clear evaluation, safeguards, and human oversight
  • Manage external dependencies such as regulatory approvals and partners
  • Align Engineering, Design, Compliance, and Operations on product decisions

What you'll need

  • 5+ years of product management experience with complex technical products
  • Strong foundation in system architecture, APIs, databases, and distributed systems
  • Experience collaborating with engineers on technical designs
  • Background in payments, banking, remittance, insurance, or trading
  • Ability to make trade-offs under technical and regulatory constraints
  • Experience building with LLMs or AI products including reliability checks
  • Strong English communication skills for global collaboration

Nice to have

  • Engineering or highly technical product background
  • Experience building zero-to-one fintech or consumer products
  • Experience defining evaluation frameworks for ML or LLM products

Stack

  • LLMs
  • APIs
  • Distributed Systems

How you'll work

  • Fully remote role
  • Hires globally across multiple time zones
  • English is the main working language

Hiring process

  • Online assessment or practical task
  • Technical interview
  • CEO or final round interview
  • Targeting offer within one week for strong candidates