QA Engineer (Manual + Automation)

TLDR: We’re looking for a hands-on QA Engineer to own product quality across our rapid release cycles. You’ll spend most of your time manually testing new features and fixes across our web platform and APIs: exploring edge cases, identifying risks, running focused regression checks, and giving the team fast, clear feedback. You’ll also automate stable, high-value scenarios using Playwright and Python, helping us make repeatable testing faster and more reliable. This is a manual-first product QA role where automation is an important tool, not the entire job., * Manually test new features and fixes throughout frequent and short (sometimes as short as a working day) release cycles

• Quickly understand product changes, identify the highest-risk areas, and provide clear release feedback
• Perform exploratory, smoke, regression, and integration testing across our web platform and APIs
• Create concise, practical test plans and checklists for new features and releases
• Investigate unexpected behaviour, isolate root causes, and write clear, reproducible bug reports
• Work closely with engineers and product owners to clarify requirements and improve testability before development is complete
• Build, maintain, and integrate automated tests for stable/business-critical flows into CI/CD, improving reliability and speed

• Have 2+ years of QA automation experience & you’ve built frameworks from scratch
• Have experience with Playwright for end-to-end UI testing and know how to structure scalable test suites
• Write clean automation code in Python (pytest, fixtures, parametrize)
• Have plugged automated tests into CI/CD pipelines (GitHub Actions, GitLab CI, or similar)
• Communicate clearly and work well with others & have fluent English
• Have experience working with AI coding agents and LLM-powered developer tools, and understand how to use them effectively to improve productivity and testing workflows
• Are curious, proactive, and eager to learn new things: you ask questions, think critically, and constantly look for ways to improve and optimise existing processes and solutions

A big plus:

• Experience testing AI or LLM-based products, handling non-deterministic outputs, confidence scoring, edge-case prompts
• Familiarity with performance or load testing (k6, Locust)
• Experience with Postman, Insomnia, Yaak or API contract testing
• Background in security-aware QA or SOC 2 environments

• Meaningful equity package
• Paid time off in line with your local regulations, no matter where you work from
• Work from Paris (hybrid) + relocation package
• Best medical insurance in France
• All the hardware, tools, and services you need
• Covered subscriptions for AI agents and IDEs
• Team off-sites twice a year: we’ve recently been to the Alps and to Saint-Tropez

White Circle is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies - simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale.

• We’ve raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others
• We process over one hundred million API calls every month
• We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model

We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built - you’re the one we need.