Vice President of Software Engineering — HealthTech Scale-Up VP level | Remote-First (Europe) | Competitive Salary + Equity
Altasu Recruitment Group
·Mar 12, 2026
- Workplace
- Remote
- Type
- Full-time
- Department
- Engineering
- Seniority
- VP
- Education
- Master
- Source
- RecruiterFlow
Description
- 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.
- 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
- 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