Product Engineer - AI Stockbroking

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

Listed on the employer's job board (Ashby)

  • Fully remote (Germany)
  • Fintech & AI focus
  • Fast hiring process
  • English required
  • High ownership role

Doit is reinventing personal finance by building tools that make spending, saving, and investing accessible through AI. The company previously launched Southeast Asia's leading mobile-first insurance platform and now expands into stockbroking.

As a Product Engineer, you will own specific product domains, translating complex financial services into simple user journeys. You will work closely with cross-functional teams to define roadmaps, launch features, and iterate based on data and user feedback.

What you'll do

  • Own product areas across insurance, payments, savings, or investing
  • Define user problems, scope, success metrics, and roadmaps
  • Collaborate with engineering, design, data, and compliance teams
  • Simplify complex financial products into usable customer journeys
  • Use data and feedback to drive product decisions and iterations
  • Launch features and monitor performance post-release
  • Balance speed, UX, business impact, and compliance needs

What you'll need

  • Experience as Product Engineer, Product Owner, or founder
  • Strong product sense and ability to simplify workflows
  • Proven ability to ship real products with engineers and designers
  • Comfortable using metrics, experiments, and user feedback
  • Strong writing, prioritization, and stakeholder management skills
  • High ownership with ability to work with limited guidance
  • Based in Germany with strong English communication skills

Nice to have

  • Experience in fintech, insurance, or payments
  • Background in consumer apps or high-growth products

How you'll work

  • Fully remote position
  • Must be currently based in Germany
  • English is the main working language

Hiring process

  • Online assessment or practical task
  • Role-specific interview
  • Final round with CEO
  • Process aims to complete within one week