Description du poste
The Role
You will own the software vision and be accountable for its execution. That means setting the technical roadmap, shaping the architecture, leading a distributed engineering organisation, and ensuring the platform performs reliably across markets at scale.
Strategic thinking matters here --- but so does the ability to make sound technical decisions and drive delivery in a fast-moving environment where regulatory compliance is not optional, and where the consequences of getting it wrong extend beyond the business.
Requirements
- Based in Europe and able to work across European timezones
- Proven engineering leadership in data-heavy, app-first, or subscription-based businesses
- Track record of building or scaling reliable software platforms in high-growth or multi-market environments
- Deep expertise in cloud architecture, mobile platforms, data systems, and third-party integrations
- Strong grasp of AI applications, automation frameworks, and modern data operations
- Comfortable managing distributed teams and external development partners
- Strategic and outcome-driven --- able to set clear goals and hold teams accountable
- Demonstrable experience working within a regulated healthcare environment is essential --- familiarity with frameworks such as ISO 13485, EU MDR, or equivalent quality and compliance standards is a significant advantage
- A genuine understanding of what it means to build software where clinical integrity and data governance are non-negotiable
Core Responsibilities
- Define and own the software and data strategy, translating business priorities into a clear technical roadmap with measurable outcomes
- Oversee all software development across mobile, backend, data infrastructure, and commercial platform integrations
- Design and implement a centralised data architecture that unifies inputs across product, marketing, and commercial functions
- Build and maintain a resilient, multi-market infrastructure capable of supporting regional variation in language, regulation, and commercial model
- Lead and develop an in-house engineering team alongside external partners and contractors
- Establish and uphold engineering best practices across deployment, testing, versioning, and documentation
- Ensure full compliance with applicable regulatory frameworks --- working in close, proactive alignment with quality and regulatory functions rather than treating compliance as a downstream concern
- Identify and embed AI tooling and automation across development and data operations
- Partner closely with product, design, and commercial teams, bridging technical capability and business outcomes
All applications are handled with complete confidentiality.