We’re looking for a Product Manager who thinks AI first and will be deeply involved in applying AI across both product management and QA. Compensation is based on experience.

In This Role You’ll

Partner with senior PMs, data scientists, engineers, and designers to define, prototype, and ship AI-enabled features (e.g., intelligent user-story generation, automated test-case creation, predictive QA insights) Own the manual QA function while designing and integrating AI-driven testing tools to automate repetitive checks and surface edge-case anomalies Drive continuous product improvement through AI-powered analytics—using models to identify usage patterns, forecast risks, and recommend optimizations Help build and maintain AI-first workflows: from prompt-engineering for our in-house models to incorporating third-party AI APIs for performance monitoring and user feedback analysis

Work Location:

Fully remote working in conjunction with our core team based in New York City.

Benefits

AI first culture. Health care. Unlimited vacation. Fast learning curve. Collaborative team.

Additional Notes: Candidates must pass a background check due to our SOC 2 certification.

Key Responsibilities

Product Responsibilities (~50-60%)

Actively help to shape the AI driven product development process Support product discovery by gathering requirements and user feedback with guidance

from senior PMs.

Help write and prioritize user stories, organize sprints, and document product specs. Participate in team standups, backlog grooming, sprint planning, and reviews. Assist in defining success metrics and tracking product usage to inform decisions. Maintain clear documentation and contribute to go-to-market materials. Help ensure the product vision is communicated across design, engineering, and

leadership.

Coordinate internal team feedback loops and prepare content for product demos.

QA Responsibilities (~40-50%)

Design and execute exploratory and scripted tests to ensure new features work as intended and edge cases are handled gracefully. Perform manual functional, regression, and user acceptance testing during sprints and release cycles. Identify, log, and track defects using tools like Shortcut, working closely with developers to reproduce and resolve issues. Collaborate with product and design to ensure requirements are well-understood and testable. Maintain detailed QA documentation, including test plans, test cases, and test results. Monitor customer-reported issues and verify fixes before release. Provide QA feedback during planning and design reviews to help shape implementation.

Ideal Experience

What You Bring

3+ years’ experience in manual QA, product management, or engineering Demonstrated AI-first mindset: familiarity with prompt engineering, model evaluation, or integrating AI/ML features into products Strong attention to detail and a data-driven curiosity for uncovering edge cases Excellent written and verbal communication Solid understanding of Agile software development and modern AI tooling (e.g., Python

ML libraries, model-ops platforms)

Enthusiasm for startup life, high ownership, and a willingness to get hands-on with both

code and models

Nice to Have

Investment management experience

Experience with QA frameworks that leverage AI (e.g., Testim, Mabl, or custom

ML-driven scripts)

Basic SQL and API skills for backend validation and data extraction

Exposure to B2B SaaS or fintech platforms

Comfort with frontend code or browser dev tools