VP Software Engineering, Health Platform (Hands-on) - London

Do you want to help build one of Europe's most exciting health platforms? Are you a technically outstanding hands-on leader who codes daily, and wants to build, scale, and guide an elite software team through the AI era?, We have a small, high-performing engineering team. We're looking for a hands-on technical lead who can own the direction of how we build - someone who codes every day, sets standards, and drives us forward as software development is fundamentally reshaped by AI. Over the coming years, as the software team grows, this role will evolve into a more strategic leadership position: owning recruiting, planning, architecture, and team culture (while still keeping a foot on the ground through regular hands-on coding).

The work here carries real weight. The platform you build helps people detect disease before symptoms appear and act on it in time. For some of our customers, that genuinely changes the course of their lives. Every feature you ship lands directly in the hands of people making decisions about their health.

• Own the technical architecture and direction for Aeon's platform - the patient-facing health platform, the medical partner portal, and how AI modules integrate.
• Code daily alongside the team: this is a hands-on role, especially during the first year
• Define and role model the company software engineering culture and rituals
• Lead code reviews, technical decisions, and engineering standards
• Drive the team's evolution toward AI-native development - not just using AI tools, but fundamentally rethinking how we design, build, and ship software
• Recruit, mentor and elevate newly joining team members over the coming years
• Partner closely with the CPTO and Growth team on roadmap and architecture trade-offs
• Work on the transition to medical SaMD processes together with our regulatory specialist, and take ownership of GDPR and similar compliance areas., * Real ownership: you will set technical direction and lead the team from day one
• A rare opportunity to define how a high-growth health tech company builds software in the AI era
• Direct collaboration with the CPTO and leadership in a high-trust, fast-moving environment
• Mission-driven work: help shift healthcare from reactive to truly preventive
• Health-focused company culture: a complimentary yearly full-body health check-up, weekly CrossFit sessions with the team in Winterthur and free healthy snacks in the office
• Hybrid setup in Winterthur, with in-office days on Monday, Tuesday, and Thursday.

No cover letter needed. Your answer to the questions in the application form will help us get to know you. Please keep your answers concise. We look forward to hearing from you.

• Strong full-stack background with genuine technical depth
• Familiarity with common frontend and backend technologies, like React, Nuxt, Vue, Tailwind, Python, PostgreSQL, TypeScript, AWS
• An AI-native development mindset: you have already fundamentally changed how you code because of AI, and you are eager to push the whole team in that direction
• A hands-on mindset
• Natural technical authority. People follow your lead not because of your title, but because you are consistently sharp and direct
• Startup instinct: comfortable with ambiguity, fast iteration, and wearing more than one hat
• Experience with recruiting and leading an engineering team
• For applicants who want to work at our Winterthur office: Swiss work permit or Swiss/EU/EFTA citizenship is a must
• For applicants who want to work at our London office: You must already have the right to work in the UK (British/Irish passport, Settled Status, or other valid work visa), or currently hold a Skilled Worker visa with another employer (transfer possible). We are not able to sponsor new Skilled Worker visas from abroad at this stage.

At Aeon, we believe that everyone should be given the chance to take full ownership over their health in order to lead a long, fulfilling and healthy life. we do this by providing our customers with deep, actionable insights into their health, utilising whole body MRI scans, blood tests and advanced machine learning driven processing and diagnosis of health data.