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# Product Owner, Technical - AI Investing

- **Company:** BJAK LLC
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Financial Software, Design of User Interfaces, Human-Computer Interaction, Performance Monitor
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/product-owner-technical-ai-investing--f38f0a15-116a-4cb8-84f9-c96de455e4aa

## About the Role

Artificial Intelligence (AI), Artificial Intelligence (AI), Financial Analysis, Finance Software, Insurance, Financial Services, Metrics, Product/Service Launch, Performance Analysis, User Interface/Experience (UI/UX), * Experience as Product Manager, 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., English is our main working language across global teams. Strong English communication is required.

## Description

We are looking for product owners to own product areas within Doit's AI Investing.

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., * 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.