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QA Lead

Foundation Health · United Kingdom - Remote

Publicada em 24/09/2026

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About Foundation HealthFoundation Health is an AI operating system for pharmacy - built by a team who lived the problem firsthand, not one that came to healthcare from the outside. Every day, prior authorizations delay prescriptions, pharmacists lose hours to paperwork instead of patients, and prescriptions slip through the cracks between health systems. We believe thoughtfully applied AI can finally change that - deep, integrated infrastructure that streamlines how care is coordinated, purpose-built for the complexity of specialty pharmacy.We're building toward a world where pharmacy teams spend their time on patients, not paperwork - where AI handles the routine so clinicians can focus on what only humans can do. Getting there takes the right people. We're looking for curious, ambitious folks who want to help solve healthcare's hardest problems - for our patients, our partners, and each other.The RoleYou'd be joining alongside our QA Lead in the US, with real ownership of building this out properly in the UK: strategy, tooling, standards, process — all still very much taking shape. There's no hands-off management here — everybody, at every level, is hands-on, and that includes you.And because we're AI-native by design, testing here isn't testing conventional software. You'll be leading the charge on how we test AI-led products across the UK — agentic workflows, LLM-based features, non-deterministic behaviour that doesn't fit a traditional pass/fail script.What you'll actually do:Build out our QA function properly: strategy, process, tooling and standards, working alongside our US QA Lead as we grow this on both sides of the AtlanticDesign and own testing for AI-driven features: agentic workflows, LLM outputs, evaluation frameworks, and the genuinely hard question of what "correct" even means when a system doesn't behave the same way twiceGet hands-on with automation using Playwright and TypeScript — and just as hands-on with manual testing, regression and UAT when
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