About Foundation Health
Foundation 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 team: AI-native by design
Our VP of Engineering comes from DeepMind/Google, and we're building with AI from day one, both in the product and in how we engineer. We use AI tools to move faster, automate repetitive work and spend more time on problems that need real engineering judgement.
What we do care about
- Strong engineering judgement. You can take an ambiguous problem, work out what matters, make sensible trade-offs and deliver without every step mapped out.
- Back-end depth. You've built and operated production systems and know what happens beyond the happy path: distributed systems, databases, performance, observability and failure recovery.
- Ownership beyond the code. You think about how a feature behaves in production, how customers use it and what could go wrong. You've made technical decisions with real consequences and can explain why you made them.
- A builder's mindset. You've taken meaningful projects from idea to reality, at work or in your own time, and can explain the decisions and trade-offs you made.
- Curiosity about AI. You've built AI products, use AI to improve how you work, or are actively exploring what's possible. You don't need to be an ML researcher.
- Strong fundamentals. You reason from first principles and pick up unfamiliar tech quickly. A degree in Computer Science, Maths, Physics or Engineering is useful, but depth of engineering ability matters most.
Interested?
The funding's in place, the product is live and customers are asking for more than we can build. We're hiring engineers in Manchester to help close that gap.