AI Product Analyst

klarent.ai; Zürich; On-site; CHF 90,000 - 120,000; Full time

Job summary

Moonfire is seeking an AI Product Analyst in Zürich to help generate high-quality test cases for demos and model training. You will explore web applications, simulate user journeys, and use human override tools to refine AI outputs, directly improving model quality and product value.

You’ll collaborate with product, engineering, and ML teams, building a diverse repository of test cases and providing thoughtful feedback to shape our AI-driven testing platform.

Qualifications

• Masters degree or Bachelors with relevant internship/QA experience.
• Structured thinker who explores edge cases.
• Tech-savvy and comfortable with modern web apps.
• Able to evaluate AI behavior using override tools.
• Interested in AI and human-in-the-loop systems.
• Collaborative team player focused on continuous product improvement.

Responsibilities

• Use our AI-powered tool to create test cases for demos and internal model training.
• Interact with web applications to simulate real user journeys and identify edge cases.
• Evaluate the tools performance and use built-in human override tools to guide or fix test cases.
• Collaborate with product, engineering, and ML teams by providing feedback on tool behavior and test results.
• Help build a repository of high-quality, diverse test cases that improve our product over time.

Skills

Structured thinking

Edge-case testing

QA mindset

AI evaluation

Education

Masters degree

Bachelors degree with relevant experience

Job description

About the role

We work with leading customers in banking, media, and travel who use our product to automate testing and catch bugs before they reach end users. As we expand to support more customers and grow our AI capabilities, we’re looking for an AI Product Analyst to join our team.

In this role, you’ll work closely with our AI tool using it to generate high-quality test cases for customer demos and internal model training. You’ll explore web applications, simulate real user interactions, and use human override tools to nudge or fix AI-generated results. Your work will directly improve the quality of our models and showcase our product’s value to new customers.

Working at fore ai will enable you to jump into the midst of the AI revolution that is happening right in front of us.

We’re looking for a detail-oriented and curious AI Product Analyst to join our operations team. You’ll play a critical role in applying our AI tool to real-world scenarios creating and refining test cases for customer demos and improving the quality of our model through thoughtful feedback and iteration.

What You’ll Do

• Use our AI-powered tool to create intelligent test cases for customer demos and internal model training.
• Interact with web applications to simulate real user journeys and identify edge cases.
• Evaluate the tool’s performance and use built-in human override tools to guide or fix test cases when the AI needs support, applying judgment to ensure accuracy and reliability.
• Collaborate with product, engineering, and ML teams by providing feedback on tool behavior and test results.
• Help build a repository of high-quality, diverse test cases that improve our product over time.

About you

• You’ve recently completed a Master’s degree, or hold a Bachelor’s with some relevant experience (internships, side projects, QA, or product testing).
• You’re a structured thinker who enjoys exploring edge cases and solving real-world product issues.
• You’re tech-savvy and comfortable navigating modern web applications and tools.
• You’re comfortable evaluating AI behavior, using override tooling, and applying human judgment where needed.
• You’re excited about AI, and eager to contribute to human-in-the-loop systems that make it better.
• You enjoy working in a collaborative team environment and want to make a real product better every day.

Nice to have (but not required)

• Exposure to QA, software testing, or no-code automation tools.
• Experience with SaaS products or browser-based workflows.
• Interest in AI/ML-powered products and how they interact with real-world user behavior.