Staff QA Engineer

Our mission is to make the law accessible to everyone.

The legal industry is built on technology and processes that haven’t been updated in hundreds of years - that's why we've reinvented the entire model from the ground up with our own bespoke AI operating system at the core.

Lawhive is a regulated law firm with an AI-native platform built to amplify expertise and revolutionise the way people practice law, leading to exceptional outcomes for clients and lawyers.

Lawhive Labs is how we bring this vision to life. It's our frontier lab that combines top engineering, design, AI and legal talent from around the world, joining forces to build the future of law.

We’re backed by top-tier investors, including Google Ventures, Balderton Capital and TQ Ventures, and in early 2026, we secured $60M Series B funding round to facilitate international expansion and to grow our team.

We’re headquartered in London and in 2025 successfully launched in the US…and we’re just getting started.
The Role

You’ll be the first Staff QA Engineer at Lawhive, and this is a unique opportunity to shape a new QA function working with technical and product leaders across the company. You’ll help us set a high bar for delivering exceptional software used by lawyers and their clients every day, including designing solutions to new challenges around LLM-based software.

• Owning the testing infrastructure to improve our product quality and avoid regressions in AI-first software

• Working with product teams and our lawyer users to validate work we’re doing, improve our testing and quality rigour, and contribute to how we release and build exceptional products

• Building and maintaining test suites and pipelines that keep pace with our rapid product development across our product and AI functions

• Working with the rest of the engineering team to adopt better testing methodologies and tools to improve the quality of their work

• Defining and monitoring key flows, runbooks and quality metrics across product teams and contributing to our monitoring and reporting infrastructure with our platform and DevOps engineers

• Ship daily - We’re building and releasing features fast, going from idea to production in hours rather than weeks.

• Empathise with users - Lawyers and legal clients have unique perspectives, preferences and expectations. We build products which understand them deeply.

• Strive for excellence - We’re ambitious and moving fast. The whole business is pushing to be a category defining legal tech company.

• Constantly learning and experimenting - We’re at the cutting edge of using AI to directly improve people’s lives. We take a blue-sky but pragmatic approach to how we apply new technologies.

• TypeScript for the majority of our applications, frontends, and microservices

• Python for data ingestion and our AI services

• AWS for our cloud infrastructure

• Postgres for our data storage

• Terraform for defining infrastructure as code

• You are very comfortable with automated testing tools and frameworks in the web, Typescript and Python ecosystems end-to-end (e.g. Playwright, Github Actions, Vittest, Pytest)

• You have built from the ground up testing frameworks and patterns for high velocity engineering teams

• You have worked with engineering and infrastructure teams to apply testing patterns and practices in their daily work

• You are familiar with AI software and the unique testing challenges posed by non-deterministic software.

• Introductory call with our Talent team

• 1:1 with your hiring manager

• Technical interview

• Values interview with our CTO/Co-founder

• We offer!

💰 Meaningful early-stage equity at one of Europe’s fastest growing startups

✈️ 33 days’ annual leave (25 + bank holidays) plus your birthday off

🌍 Work from anywhere for a month

💰 Pension contribution via Nest

💻 Top-spec equipment - MacBook/Windows

⛳️ Regular team building activities and socials!

At Lawhive, we know that diversity of thought is critical to delivering outlier outcomes. As such, we’re always working hard to ensure we build a diverse, inclusive team, and as we scale, we’ll only ever increase the focus we apply to this.