
Product Engineer - AI Stockbroking
Required skills
- AI Stockbroking
- product engineer
- product owner
- founder
- growth/product operator
- product sense
- simplify complex workflows
- ship real products
- metrics
- user feedback
Nice to have
- mobile-first insurance platform
- Southeast Asia
- spending
- saving
- investing
- exchanging
Role summary
KIRA is seeking a Product Engineer to own product areas within their AI Stockbroking division. This remote role, based in the United States, requires individuals who can define product direction, collaborate with engineering and design teams, and drive execution from problem definition to launch and iteration. The ideal candidate has a strong product sense, experience in fintech or consumer apps, and excels at simplifying complex financial products into user-friendly journeys. They should be comfortable using data and feedback for decision-making and possess strong prioritization and stakeholder management skills. This is a fast-paced environment aiming for quick hiring.
About Doit
We are focused on reinventing how people spend, save, invest, exchange, travel, and more. Our objective is to build tools that will help people get more from their money and become an expert at ease. We believe AI will help make finance smart, assessible and safe.
We are looking for the most talented and driven people we can find. We are looking for people who work for their passion, not counting hours. Who loves building great next-generation products, not status quo. Who cares about redefining how everyone around us can get the best financial applications, not for an exclusive few. We have teams working around the world, with over 20 nationalities and growing from our offices and remotely. Join us and build a better future for our society.
In 2019, we built the first mobile-first, insurance platform, enabling insurance to be accessible online by millions in the region. Today, it's the leading insurance platform in Southeast Asia.
The Role
We are looking for product engineers to own product areas within Doit's AI Stockbroking.This role is for builders who can understand users, define product direction, work with engineering and design, launch fast and keep improving after release.
What You'll Own
Own product areas across insurance, payments, savings, investing, travel or other financial services.
Define user problems, product scope, success metrics, roadmap and launch plans.
Work with engineering, design, data, operations, compliance and business teams.
Turn complex financial products into simple, usable customer journeys.
Use data, feedback, research and production issues to improve product decisions.
Launch features, monitor performance and drive iterations.
Make trade-offs between speed, user experience, business impact, compliance and operational complexity.
What We're Looking For
Experience as Product Engineer, Product Owner, founder, growth/product operator or similar role.
Strong product sense and ability to simplify complex workflows.
Able to work with engineers and designers to ship real products.
Comfortable with metrics, user feedback, experiments and post-launch learning.
Strong writing, prioritization and stakeholder management.
High ownership and ability to drive work with limited guidance.
Experience in fintech, insurance, payments, consumer apps or high-growth products is a strong advantage.
The Kind of Builder We Want
Starts from user problems, not feature lists.
Can make decisions with incomplete information.
Knows how to ship quickly and learn after launch.
Works well with engineering without hiding behind process.
Honest about what changed because of their work versus wider team effort.
This Role Is Not For
People who only write decks and do not drive execution.
PMs who cannot work deeply with engineering.
Candidates who need perfect data before making decisions.
People who launch features and then stop caring.
PMs who exaggerate business impact without understanding attribution.
Location
This role is remote, but candidates must be based in the United States. We are hiring specifically for this market, so applicants should already be based in the United States.
Language
English is our main working language across global teams. Strong English communication is required.
Interview Process
Our process is designed to move fast:
1. Online assessment or practical task
2. Role-specific interview
3. CEO / final round
For strong candidates, we aim to complete the process and make an offer within 1 week from the start of the interview process. Candidates who complete assessments quickly will be prioritized.
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