Senior QA — AI-Native Testing

Your mission

The Role

We're looking for a Senior QA who can take ownership of how we test software—and push us toward smarter, AI-assisted approaches.

You won't just run test cases. You'll decide what we test, how we test it, and which tools give us the best coverage with the least friction. AI-powered testing tools have matured significantly, and we want someone who knows how to use them.

You'll be responsible for:

• Building and maintaining our test automation strategy
• Evaluating and implementing AI testing tools (Testim, mabl, Playwright, etc.)
• Setting up self-healing tests that don't break every time the UI changes
• Working with engineering to shift testing earlier in the development cycle
• Defining what "good enough" coverage looks like for different parts of the product
• Reducing flaky tests and test maintenance overhead
• Owning quality metrics and reporting

Your profile

What We're Looking For

Must have:

• 5+ years in QA or test engineering, with experience leading test strategy
• Hands-on experience with at least one AI-augmented testing tool
• Strong background in test automation (Cypress, Playwright, Selenium, or similar)
• Comfortable working with CI/CD pipelines (we use GitLab)
• SQL skills—you'll need to validate data pipelines and calculations

Nice to have:

• Experience with self-healing test frameworks
• Background in B2B SaaS, especially with financial or data-heavy products

Who You Are

You're pragmatic. You don't automate everything just because you can—you focus on what actually reduces risk. You've seen the hype around AI testing tools and you know which ones actually deliver. You're comfortable saying "we don't need to test that" when it's true.

You care about the team's velocity, not just test coverage numbers. You understand that a fast feedback loop is worth more than a comprehensive but slow test suite.

You communicate clearly with engineers and product people. You can explain why something needs testing—or why it doesn't.

Why This Role

• Greenfield opportunity: You'll build the QA function and set the standards.
• Real impact: Our platform handles money. Bugs have consequences. Your work matters.
• Modern stack: We're already invested in AI-native tooling. You won't have to fight for budget.
• Competitive comp: We pay well for people who deliver.

How to Apply

Send your CV and a brief note on how you've used AI tools and automation in testing. We'd love to hear what worked, what didn't, and what you'd do differently.