Jobs at PortSwigger

The role involves embedding in various parts of the business to identify and solve AI problems, producing working solutions through short sprints, and evaluating their effectiveness while facilitating adoption.

Own a high-impact product area end-to-end: discover, define strategy, work with engineering to deliver and iterate, drive customer insight and adoption, measure outcomes, and influence cross-functional teams to launch and grow capabilities.

The Data Engineer will build scalable, reliable data infrastructure, improve data quality, support AI decision-making, and design data solutions with collaboration across teams.

Full‑stack software engineer working on frontend, backend and infrastructure with product ownership. Solve complex problems, prototype, use AI tools, collaborate cross‑functionally, talk to users, and ship robust, user‑facing features.

Design, operate, and automate cloud-native infrastructure and containerised environments. Build IaC, CI/CD pipelines, and scalable, observable distributed systems while collaborating with product teams to reduce toil and improve reliability.

The Commercial Data Scientist will lead complex analytical investigations, partner with stakeholders for insights, and enhance AI-enabled workflows to support strategic decision-making.

Design, deliver and operationalise end-to-end revenue enablement programs that drive adoption of GTM systems, reduce ramp time, improve forecast accuracy and measurable commercial outcomes through cross-functional initiatives.