Product Engineer - AI Investing
Bjak · Remote · Seoul, Korea ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Remote (South Korea only)
- AI Investing focus
- Fintech experience plus
- Fast hiring process
You will take ownership of specific product domains within Doit's AI Investing platform, such as insurance, payments, or savings. Your focus will be on understanding user problems, defining success metrics, and translating complex financial concepts into simple customer journeys.
Working closely with engineering, design, data, and compliance teams, you will drive the product lifecycle from conception to post-launch iteration. This role requires high autonomy and the ability to make decisions with incomplete information while balancing speed, user experience, and regulatory requirements.
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
- Translate complex financial products into simple user journeys
- Use data and feedback to improve product decisions
- Launch features and monitor performance for iterations
- Balance speed, UX, business impact, and compliance
What you'll need
- Experience as Product Engineer, Owner, founder, or operator
- Strong product sense and ability to simplify workflows
- Ability to work with engineers and designers to ship products
- Comfortable with metrics, experiments, and post-launch learning
- Strong writing, prioritization, and stakeholder management skills
- High ownership and ability to drive work with limited guidance
- Based in South Korea
- 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 within South Korea
- English is the main working language
- Global team collaboration
Hiring process
- Online assessment or practical task
- Role-specific interview
- CEO or final round interview
- Targeting one week from start to offer