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HIHilo by Aktiia

VP of Software Engineering(m/w/x)

Neuenburg
Full-timeWith Home OfficeSenior

Defining software and data strategy for cuffless blood pressure monitor technology. Proven leadership in subscription-based, data-heavy businesses required. Equity program participation.

Requirements

  • Proven leadership experience in software engineering for subscription-based, data-heavy, or app-first businesses
  • Track record of building or scaling strong, reliable software and data platforms in high-growth or multi-market environments
  • Experience with multilingual, multi-region infrastructures and managing diverse tech stacks
  • Deep expertise in cloud architectures, data systems, mobile platforms, and system integrations
  • Strategic and KPI-driven mindset, translating business goals into technical outcomes
  • Strong understanding of AI applications, data operations, and automation frameworks
  • Strategic, KPI-driven, inspiring leader able to collaboratively define pragmatic, clear goals and hold teams accountable
  • Previous experience operating in a regulated market is highly valued

Tasks

  • Define and own software and data strategy
  • Translate company goals into a technical roadmap
  • Build a future-proof architecture
  • Champion AI-driven operations
  • Oversee all software technology
  • Build and maintain a resilient infrastructure
  • Establish best practices in CI/CD, testing, versioning, and documentation
  • Ensure compliance, data protection, and information security
  • Work closely with Quality & Regulatory team
  • Design and implement a centralized data infrastructure
  • Build scalable data pipelines and analytics foundations
  • Oversee data governance and quality assurance
  • Lead and develop the engineering team in Serbia
  • Manage external partners and freelancers
  • Create a performance-driven culture
  • Ensure delivery against key milestones, uptime, and quality KPIs
  • Partner with product, design, and growth teams
  • Embed automation into all workflows
  • Identify and implement AI tools
  • Ensure growth through intelligence, not headcount

Work Experience

  • approx. 4 - 6 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • cloud architectures
  • data systems
  • mobile platforms
  • system integrations
  • AI applications
  • data operations
  • automation frameworks

Benefits

Competitive Pay

  • Equity program
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