AI-First QA Engineer (Quality & Test Automation) (m/f/d)

Our Mission

EverReal is building the operating system of real estate transactions — our vision is real estate transactions that run themselves. Today we structure and automate transactions. Tomorrow EverReal will run them autonomously, as your digital team member.

Quality is how we earn the trust of 400+ real estate companies who run their business on our platform every day. And we believe the 10x unlock in software isn't AI writing code — it's sharp humans with good judgment directing AI at scale. That belief defines this role. We're not hiring someone to hand-write test scripts all day. We're hiring someone to think, and to operate AI so that quality scales far beyond what one person could test by hand.

Your Challenge

Your playing field

You will own quality for the EverReal platform as we scale — and you'll do it as an operator of AI, not a writer of scripts. The model we're building toward: AI implements and runs the tests; you direct it and own the judgment. You won't spend your days reviewing test code line by line — increasingly that's automated, and you look at the results. Your judgment goes where it matters:

• Defining behaviour in clear, correct Gherkin scenarios — the source of truth for what "working" means.
• Reviewing the test cases AI writes (Gherkin and manual) to make sure they're actually right.
• Reading results to decide what's genuinely broken, what's flaky, and what's ready to ship.

AI is the tool; you are the operator. It removes the repetitive mechanics so your judgment scales. This is a deliberately high bar and a real growth path: you start by owning quality hands-on, then progressively push the mechanics onto AI while you keep the standards and the hard calls.

What you'll do

• Own quality and be the last gate. Nothing ships to production without your sign-off. Escalate early when timelines compress.
• Own manual testing & UAT. Exploratory, functional, regression and user-acceptance testing — the human eyes before customers see it.
• Maintain the Gherkin scenarios. The living source of truth for how the product should behave; review the test cases AI generates for correctness.
• Operate the automated testing, don't hand-crank it. Direct AI to implement and run Playwright/E2E and API tests; judge by results and keep the suite trustworthy and green.
• Sign off every release. Run regression, give the go/no-go, post the release notes (AI drafts, you own them).
• Be the first line of defense for production. Validate, reproduce and route customer-reported issues fast, with AI.
• Triage results. Real bug vs. flake, root cause (with AI + Datadog/Sentry), surface only what needs a human call.
• Continuously automate your own work with AI. If you've done it manually twice, make AI do it the third time.
• Prove it with evidence. Clear bug reports with root cause, regression checklists, screenshots, logs and recordings — tests are the documentation.
• Be the product's second brain. Learn the product and users deeply; turn that into the right scenarios and the right questions.

The team you'll join

A small, focused team in agile Scrum: five engineers, QA (you'll work alongside our current QA), and a product manager — all working closely with the CTO, who is still hands-on in engineering. QA is not a downstream function here: you're in refinement from the start, and your sign-off is a hard release gate.

How we work

• AI-native. Claude Code, agents and MCP are first-class infrastructure. Every step goes through AI first, then the person.
• Evidence-driven quality. Every acceptance criterion is proven, not assumed.
• Async-first. Deep-focus mornings are sacred; reviews are batched.
• High psychological safety. Praise in public, feedback in private; we talk about the system, not the person.
• Ownership. Concrete end goals with the context and autonomy to achieve them.

Your profile