Jobs at PortSwigger

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.

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

Lead a stream-aligned engineering team to improve delivery, quality, and customer outcomes. Coach engineers, partner with Product and Tech Lead, own delivery effectiveness, use DORA metrics, ensure operational readiness, hire and develop talent, and reduce cross-team friction.

Lead and scale sales enablement across onboarding, ramp, certification, launches, and ongoing development. Build scalable programmes, analyze performance metrics, create playbooks and learning paths, drive adoption of enablement tooling (CRM, Gong, LMS, AI), partner with GTM leadership, and measure enablement impact on revenue and productivity.

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

Build and maintain cloud data pipelines and models, improve data quality, governance and observability, support self-service analytics, partner with Finance and Tech to deliver scalable, secure data solutions and contribute to platform architecture and engineering standards.

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.