Technical Product Lead - AI Investing App

Bjak · Remote · United States ·
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 + Fintech focus
  • English required
  • Fast hiring process

KIRA is expanding its financial platform beyond insurance into spending, saving, and investing across Southeast Asia. As a Technical Product Lead, you will own a product vertical, balancing AI innovation with the strict reliability and regulatory demands of handling real money.

You will collaborate with engineering, compliance, and operations to deliver trusted financial tools. The role requires deep technical understanding to shape system architecture while ensuring products remain auditable and secure.

What you'll do

  • Own product vertical strategy, metrics, roadmap, and delivery end-to-end
  • Shape technical design for APIs, data flows, ledgering, and security
  • Drive trade-offs between correctness, speed, cost, and regulatory needs
  • Integrate KYC, transaction monitoring, and privacy requirements into products
  • Apply AI with clear evaluation, safeguards, and human oversight
  • Manage launches involving regulatory approvals and third-party partners
  • Align engineering, design, compliance, and finance teams on decisions

What you'll need

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

How you'll work

  • Fully remote role with global hiring
  • Collaborate across multiple countries and 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