Job Description This is a remote position. Testing in the AI era isn't about running the same regression script every sprint. Test generation has moved from the tester's hands to the developer's — Claude Code writes and runs tests as part of implementation, not as a separate phase afterward. What AI can't replace is domain instinct: knowing how real users actually behave, where the business logic is fragile, and which edge case is the one that matters. That instinct takes time to build. This is a Tester cooperation, not a Quality Assurance Specialist one — but the domain knowledge you build here is exactly what a Quality Assurance Specialist scope of work requires. At Profitroom, testers who develop deep business and product understanding are the ones positioned for QA Specialist cooperation later: domain experts who guide developers before they build, explore production systematically, and own the quality health of a whole product area. You'll be manual-first, but manual in the modern sense of the word: comfortable using AI to generate test scenarios, audit coverage, and draft documentation, so your time goes into judgment and domain understanding — not repetitive execution. "The system is healthy when a Quality Assurance Specialist says it is. Not when all tickets are green." That's the standard this role is building toward. Scope of cooperation Test execution for features before release — built on structured edge-case thinking, not just clicking through a script Exploratory testing — regular, independent sessions on production, not limited to what shipped this sprint AI-assisted test scenario generation and coverage checks — you use AI to work broader and deeper, not to skip the thinking Documentation — accurate product and technical docs, drafted with AI, validated by what you actually know about the domain Flagging and fixing broken processes — stale docs, manual reporting, repetitive rituals: you propose the improvement, you don't just work around it Requirements You'll thrive in this cooperation if: You get curious about how the business actually works — pricing logic, booking flows, customer journeys — not just whether a button click succeeds You're meticulous and methodical — you don't stop at the obvious edge case, you look for the one nobody thought of You use AI tools to test smarter and faster, and you're not threatened by them handling the repetitive part You notice a broken process — a manual doc update, a rotting test suite, a report someone rebuilds by hand every week — and you want to fix it, not just work around it You're comfortable reporting a bug clearly and factually — it's information, not an accusation You want a real growth path — not "tester forever," but domain mastery that eventually makes you the person developers consult before they build Bonus points: You've automated part of your own workflow (docs, reporting, test data) with AI tools without anyone asking you to You have exposure to a specific business domain — travel, hospitality, e-commerce, fintech — beyond just testing tools You've used Claude Code, ChatGPT, or similar tools in your own work or personal projects You've written a test strategy or edge-case list that developers actually followed Probably not for you if: You want a script to follow and a checklist to tick, not a problem to think through You see AI as a threat to your job rather than a tool that removes the boring parts You're looking for a test-automation / SDET role where writing automation code is the main skill — that's a different path here Technical expectations Business & domain curiosity — you actively want to understand how the product works end-to-end: pricing, bookings, integrations, not just the surface UI Meticulous, methodical testing — structured test scenarios and edge-case lists, not ad-hoc clicking AI-assisted testing — hands-on with Claude Code, ChatGPT, or equivalent for generating test scenarios, auditing coverage, and drafting documentation Manual testing fundamentals — exploratory testing, test case design, bug reports developers can act on without follow-up questions Process awareness — you notice inefficiencies and propose or build the fix, rather than living with them Communicative Polish and English — Polish for business-domain depth, English for documentation and cross-team collaboration Tools & domain focus Manual testing · Exploratory testing · Edge-case design · Claude Code · AI test-scenario generation · AI-assisted documentation · Jira · Confluence · Bug reporting · API basics (Postman) · Business domain: hospitality & bookings Benefits Contract terms: B2B cooperation. Monthly compensation range: 11 ,000–15,600 PLN net , depending on experience and the agreed scope of services. Remote-first collaboration model International technology and product projects Flexible project collaboration setup Planned service breaks aligned with contract terms Opportunity to collaborate with experienced product and technology teams Opportunity to access selected knowledge-sharing initiatives → Recruitment process Intro call (45 min): With our Recruiter. We cover your background, what you're looking for, and mutual fit. Domain & mindset interview (60 min): With the Team Leader and a Quality Assurance Specialist. Expect real business scenarios, edge-case thinking exercises, and questions about how you already use AI in your own testing workflow. We're not testing framework trivia. Practical case: A time-boxed exercise: given a short feature description, you produce a structured edge-case list and exploratory test plan. Reviewed together in a follow-up call — we care about your reasoning, not just the length of the list.
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