
1 - 10 employees
Founded 2025
🔐 Security
☁️ SaaS
🤖 Artificial Intelligence
Security • SaaS • Artificial Intelligence
Surt is an AI-driven fraud detection and identity verification platform that processes signals, documents, and behavioral data to determine which users to permit or block. It offers easy integration (web, mobile, QR), usage-based pricing tiers, OCR and document scanning, biometric 3D face detection, geolocation and transaction monitoring, watchlist and sanctions screening, and enterprise features like custom ML models and on-premise deployment. Surt is delivered as a software service focused on automating fraud prevention for businesses.
🕒 June 8
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1 - 10 employees
Founded 2025
🔐 Security
☁️ SaaS
🤖 Artificial Intelligence
Security • SaaS • Artificial Intelligence
Surt is an AI-driven fraud detection and identity verification platform that processes signals, documents, and behavioral data to determine which users to permit or block. It offers easy integration (web, mobile, QR), usage-based pricing tiers, OCR and document scanning, biometric 3D face detection, geolocation and transaction monitoring, watchlist and sanctions screening, and enterprise features like custom ML models and on-premise deployment. Surt is delivered as a software service focused on automating fraud prevention for businesses.
• 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
Apply Now🕒 June 8
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