We develop advanced systems that provide superior fraud detection capabilities. Join a team committed to advancing the state of the art in fraud prevention technology.
Surt AI is building the future of intelligent fraud detection and compliance. We develop advanced, data-driven systems that help companies identify fraud risks early, understand them clearly, and act with confidence.
Fraud signals are everywhere, turning them into meaningful, actionable insights requires clarity and speed. We act as a digital compliance officer, transforming complex fraud patterns into a clear and usable product experience so teams can focus on growth while staying compliant.
We are a small, focused team. We move fast, take ownership seriously, and build for scale.
We are looking for a QA Manager to own quality as a discipline across our platform. This is not a ticket-execution role, it is an ownership role. You will define what quality means at Surt, build the processes and tooling to support it, and be the person who gives the team confidence before anything ships.
You will work closely with the Tech Lead, the frontend and backend leads, and the broader product and engineering team. You will sit in on planning, push back on unclear requirements, and be an active voice
in how we build, not just a gatekeeper at the end.
- Quality strategy — defining standards, coverage expectations, and quality gates across the platform
- Test planning and execution — functional, regression, integration, and exploratory testing across
web, mobile, and backend surfaces
- Release confidence — owning the go/no-go signal from a quality perspective before production
deployments
- Bug triage — assessing and prioritising incoming issues, working with engineering to route and
resolve them
- Test automation — identifying what can and should be automated, building and maintaining the
tooling to support it
- Cross-functional collaboration — working with product, engineering, and compliance to make sure
quality is built in, not bolted on
- Experience in QA with a strong engineering foundation — whether through a background in
development, self-directed learning, or hands-on work with automation, infrastructure, or backend
systems
- A track record of taking ownership of quality as a domain, not just following a process someone else
designed
- Comfort operating autonomously — you will be given projects and goals, not step-by-step instructions
- Strong systems thinking — understanding how changes propagate and where risk lives, not just
whether the feature works in isolation
- Familiarity with modern tooling and an active habit of optimising your own workflow, including with AI
tools
- Clear communication and the confidence to push back when something is not ready to ship
- A high-ownership role in a growing product company
- Direct access to leadership and real influence over how quality is approached
- A team that takes engineering seriously and values people who look beyond their own plate
- Flexible working, competitive compensation, and the opportunity to build something from the ground
up