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AI Pioneer

PortSwigger
CompanyPortSwigger
CategoryData & Analytics
LocationKnutsford
RemoteOn-site (inferred)
EmploymentFull-time
LevelNot stated
SalaryNot stated by the employer
Posted1 May 2026
Last verified9 Aug 2026
SourceEmployer ATS (workable)
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Description
The role PortSwigger is going all-in on AI. Not as a side project, not as a slogan - as the central way we intend to work across every part of the business. This role is one of a small number of people who will help us actually do that. It’s a role for a builder. You’ll drop into hard, unscoped AI problems across the business, usually in the parts that haven’t figured AI out yet. You’ll embed alongside the people closest to the work for a few weeks, ship something that actually makes things better, hand it over, and then move on to the next problem. You’ll be scoping the problem area, designing and building with the domain experts, breaking things, testing things, laughing and swearing through the 99 failures before the run that finally works. Roving, not tribe-aligned. Always in the work, never stuck only writing slides about it. About you You’re fanatical about AI. It’s rewired how you live. You wake up and check what dropped overnight - a model release, a new agent framework, a benchmark, a product launch - and if something interesting landed, half your morning’s gone to testing whether it beats what you’re already using.  Your weekend project is the next tool you wanted that nobody had built yet. Your home is full of little things you’ve stitched together for yourself - the budget tracker, the meal planner, the story generator for your kid - but that was the starting point, not the destination. The tinkering has levelled up since: agents that run while you sleep, systems plugged into each other so you’re not the glue between them, tools with real users who depend on them daily. Your browser history is release notes and changelogs and half a dozen Discord tabs. You have personal subscriptions to several AI products and you’ve played with many more. Within hours of a new one dropping you’re inside it, running it against your work and forming opinions about which model or platform to reach for, for what, and why. You switch tools when the industry moves — you’re not loyal to anything that stops being the best. You can’t shut up about it. Friends gently take the piss. You don’t mind, because you can see what’s coming and they can’t yet. You’re working smarter than you ever have - and loving it. The AI lever is so big that you’re getting 10x more done in 1.5x the time, and you keep finding more. You’re probably a bit stuck, though. Your current employer treats AI as a side project - the tooling is blocked, the spend is capped, the ambition is missing. You’ve found yourself pushing for better tooling, clearer permission, and more ambition because you can see the opportunity being missed. You want to be somewhere it’s taken seriously. That’s the bit that’s going to make this role grab you. You don’t just talk about AI - you build for it. You’ve taken an ambiguous brief, with no spec and no team, and produced a working thing under your own steam. Recently. You don’t quite trust your own demo, so you measured whether it actually helped - before and after, on the real thing - because you’re as interested in the evals as you are in the build. You leave an artefact trail - repos, prototypes, write-ups, side projects - and that’s how we’ll get to know you: we read what you’ve made, not just what you say about it. You think in workflows, not vibe coded apps. The question that excites you the most isn’t “what could I build for this?” - it’s “what should this whole process look like now?” You wire systems into each other and let the work flow between them, keeping people where their judgement genuinely matters. And you’ve thought hard about where that balance sits today, where it’s heading, and what it means for whole industries - you’ll argue the case with anyone who fancies it. You travel light across domains. Drop you into legal, marketing, customer success, recruitment, operations, finance, data - and you see the agentic opportunity q