At a Glance
- Tasks: Join us as a QA Engineer to ensure top-notch quality across our innovative insurance tech products.
- Company: Artificial is revolutionising the specialty insurance market with cutting-edge technology.
- Benefits: Enjoy private medical insurance, generous holiday allowance, and a vibrant team culture.
- Other info: Dynamic environment with opportunities for growth and learning in a collaborative team.
- Why this job: Be part of a pivotal moment in tech, making a real impact on the future of insurance.
- Qualifications: 2-5 years in QA or software testing, with strong manual testing skills.
The predicted salary is between 40000 - 50000 £ per year.
About Artificial
Help shape the future of specialty insurance. At Artificial, we’re building the next generation of technology for the specialty (re)insurance market. Our mission is to transform how brokers and carriers operate in complex markets by removing operational barriers and enabling smarter, faster decision‑making. We use modern technology to solve real challenges for some of the world’s leading brokers and insurers. By automating the repetitive and structuring the complex, we help our partners unlock new opportunities for innovation and growth. You’ll be joining a collaborative team that values curiosity, ownership, and continuous learning. We work in an environment where ideas are heard, support is built‑in, and outcomes matter. Everyone here has the chance to make a tangible impact on our products, our customers, and the industry.
We've just raised $45M (£33M) in Series B funding from lead investor CommerzVentures, new investor Move Capital, as well as all existing shareholders. This investment round gives us the room to grow with confidence, continue to innovate, and ensure that Artificial remains the first choice for brokers and carriers seeking a smarter way to trade digitally. Join us, and take the chance to be a part of something that will change the landscape of insurance for generations.
About the role
Artificial's API‑first SaaS platform powers the full lifecycle of specialty (re)insurance – from broking to underwriting – through a proprietary DSL that makes products, workflows, and rules fully programmable. Customers get tailored configurations layered on top by our Forward Deployed Engineering team, making this one of the most flexible and technically ambitious platforms in the market. We're hiring a QA Engineer to take ownership of quality across our product portfolio and customer specifications. You'll work hands‑on across our three product modes – Discovery, Delivery, and Optimisation – embedded alongside Product, Engineering, and Solutions teams. Testing is currently under‑resourced and creating real delivery bottlenecks; you'll be one of the first dedicated QA hires brought in to fix that. This is a high‑impact role at a pivotal moment. You'll join an established team of insurance and technical experts as we scale to meet a growing client pipeline, with a clear path from manual testing today into automation as the function matures.
Testing Stack Summary
- Frontend/E2E: Playwright for end‑to‑end tests, Jest for frontend unit tests, with LLM‑assisted tooling and visual regression reporting baked into the PR workflow.
- Backend/Infra: Haskell (hspec/quickcheck) for backend testing, golden tests for the DSL compiler, load testing via Artillery/k6, and CI through Buildkite with OpenTelemetry monitoring.
Responsibilities
- Manual testing execution: Own and execute manual test cases across Artificial's product suite and customer specifications – including functional, regression, integration, and exploratory testing – ensuring thorough coverage before releases reach production.
- Test planning and design: Write clear, detailed test plans and test cases based on product requirements, acceptance criteria, and specification documents; identify edge cases and risk areas; ensure traceability between requirements and test coverage.
- Customer specification testing: Test new and updated customer configurations and specifications to validate they meet requirements and behave correctly within the platform – reducing reliance on Field Delivery Engineers for quality verification.
- Bug identification and reporting: Identify, document, and triage defects with clear reproduction steps, severity assessments, and supporting evidence in Linear; follow up with engineering teams to verify fixes and close the loop.
- Regression testing: Execute regression test suites ahead of releases to catch unintended side effects; help maintain and expand the regression library as the product evolves.
- Quality within DDO+ modes: Support QA touch points across Discovery (smoke‑testing prototypes and early builds), Delivery (thorough testing of bets and features during development cycles), and Optimisation (validating bug fixes and investigating production issues).
- Process contribution: Contribute to the development of QA processes, standards, and best practices as the QA function is established; provide feedback on what's working and what needs improvement from the front line of testing.
- Collaboration: Work closely with Product Managers, Engineers, and Solutions/FDEs to understand requirements, clarify expected behaviour, and ensure alignment on quality expectations for each release or specification.
- Documentation: Maintain test documentation, test results, and coverage records; contribute to a growing knowledge base of product behaviour, known issues, and testing approaches.
- Automation growth: As the team's automation capability matures over the first 6‑12 months, actively transition high‑volume regression and repetitive test cases into automated suites; develop your own automation skills with support from the QA Team Lead and existing tooling (Playwright, CI/CD pipelines).
About you
Skills, Experience, and Qualifications
- 2–5 years of experience in a QA or software testing role, with a strong foundation in manual testing techniques.
- Proven ability to write clear, structured test plans and test cases from requirements and specifications.
- Experience with systematic testing approaches – functional, regression, integration, exploratory – and the judgement to know when each is appropriate.
- Excellent bug reporting skills – you write reproduction steps that engineers can act on immediately.
- Experience with defect tracking and test management tools (e.g. Linear, Jira, or equivalent).
- A methodical, detail‑oriented approach with strong analytical and problem‑solving skills.
- Comfortable working across multiple product areas and workstreams simultaneously.
We especially want to hear from you if you have:
- Experience testing complex, configurable SaaS platforms where customer‑specific configurations need validating.
- Worked in financial services, insurtech, or similarly regulated environments.
- Familiarity with API testing tools (e.g. Postman, REST clients) and browser developer tools.
- Some exposure to test automation frameworks or scripting (e.g. Cypress, Playwright, Selenium) – you don't need to be an automation expert, but curiosity and willingness to learn is valued.
- Experience working within Shape Up, Scrum, or similar iterative delivery frameworks.
- Worked in a growing team where QA processes were still being established, and you helped shape them.
Benefits
- Private medical insurance
- Income protection insurance
- Life insurance of 4 × base salary
- On‑site gym and shower facilities
- Enhanced maternity and paternity pay
- Team social events and company parties
- Salary exchange on pension and nursery fees
- Access to Maji, the financial wellbeing platform
- Company stock options managed through Ledgy
- Milestone Birthday Bonus and a Life Events leave policy
- Generous holiday allowance of 28 days plus national holidays
- Home office and equipment allowance, and a company MacBook
- Learning allowance and leave to attend conferences or take exams
- YuLife employee benefits, including EAP and bereavement helplines
- For each new hire, we plant a tree through our partnership with Ecologi
- Action The best coffee machine in London, handmade in Italy and imported just for us!
We’re proud to be an equal opportunities employer and are committed to building a team that reflects the diverse communities around us. If there’s anything you need to make the hiring process more accessible, just let us know—we’re happy to make adjustments. You’re also welcome to share your preferred pronouns with us at any point. Think you don’t meet every requirement? Please apply anyway. We value potential as much as experience, and we know that raw talent counts. As part of our hiring process, we’ll carry out some background checks. These may include a criminal record check, reviewing your credit history, speaking with previous employers and confirming your academic qualifications.
QA Engineer employer: Artificial Labs Ltd
At Artificial, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through our comprehensive benefits package, including private medical insurance, generous holiday allowance, and learning opportunities, all designed to support your professional journey. Join us in London, where you can make a tangible impact in the specialty insurance market while enjoying a vibrant team atmosphere and unique perks like the best coffee machine in the city!
StudySmarter Expert Advice🤫
We think this is how you could land QA Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Artificial. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Prepare for interviews by diving deep into the company’s mission and products. Show us you’re not just another candidate; demonstrate your passion for transforming the insurance landscape!
✨Tip Number 3
Practice your testing skills! Brush up on manual testing techniques and be ready to discuss how you’d tackle real-world scenarios we face at Artificial.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace QA Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your relevant experience in QA and software testing. Use keywords from the job description to show that you understand what we're looking for.
Show Off Your Skills:Don’t just list your skills; give examples of how you've used them in previous roles. Whether it's writing test plans or identifying bugs, we want to see how you’ve made an impact in your past positions.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the point without unnecessary fluff.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you're serious about joining our team!
How to prepare for a job interview at Artificial Labs Ltd
✨Know Your Testing Stack
Familiarise yourself with the specific tools and technologies mentioned in the job description, like Playwright for end-to-end tests and Haskell for backend testing. Being able to discuss these tools confidently will show that you're not just a fit for the role but also genuinely interested in their tech stack.
✨Prepare Your Test Plans
Before the interview, draft a few sample test plans based on hypothetical product requirements. This will help you articulate your thought process during the interview and demonstrate your ability to write clear, structured test cases, which is crucial for the QA Engineer role.
✨Showcase Your Bug Reporting Skills
Be ready to discuss your approach to bug identification and reporting. Prepare examples of how you've documented defects in the past, including reproduction steps and severity assessments. This will highlight your attention to detail and problem-solving skills, which are key for this position.
✨Emphasise Collaboration
Since the role involves working closely with Product Managers and Engineers, think of examples where you've successfully collaborated with cross-functional teams. Highlighting your teamwork skills will show that you can thrive in a collaborative environment, which is a big part of the culture at Artificial.