Product Engineer - AI Stockbroking

Bjak · Remote · Hong Kong ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Based in Hong Kong
  • Fully remote setup
  • Fintech & AI focus
  • Fast hiring process
  • English required

Doit is reinventing personal finance by building tools that make spending, saving, and investing smarter and more accessible through AI. As a Product Engineer in the AI Stockbroking team, you will own specific product areas, defining scope and roadmap while working closely with cross-functional teams to ship high-impact features.

This position suits builders who prioritize user problems over feature lists and thrive in fast-paced environments. You will simplify complex financial workflows into intuitive customer journeys, using data and feedback to iterate quickly after launch.

What you'll do

  • Own product areas across insurance, payments, savings, or investing
  • Define user problems, success metrics, and launch plans
  • Collaborate with engineering, design, data, and compliance teams
  • Translate complex financial products into simple user journeys
  • Use data and feedback to drive product decisions and iterations
  • Balance speed, UX, business impact, and regulatory compliance

What you'll need

  • Experience as Product Engineer, Owner, or similar role
  • Strong product sense and ability to simplify workflows
  • Proven ability to ship real products with engineers and designers
  • Comfortable with metrics, experiments, and post-launch learning
  • Excellent writing, prioritization, and stakeholder management skills
  • High ownership with ability to work with limited guidance
  • Strong English communication skills

Nice to have

  • Background in fintech, insurance, or payments
  • Experience with consumer apps or high-growth products
  • Founder or growth operator experience

How you'll work

  • Remote work policy
  • Must be currently based in Hong Kong
  • English is the primary working language

Hiring process

  • Online assessment or practical task
  • Role-specific interview
  • Final round with CEO
  • Targeting one week from start to offer