VP of Engineering

Technical Leadership & Strategy

• Define and execute the company’s technology vision, strategy, and roadmap aligned with business goals.

• Lead architectural decisions ensuring scalability, reliability, and security.

• Drive innovation in AI/ML models, digital phenotyping, and passive sensing technologies.

• Establish engineering best practices, development processes, and quality standards.

• Evaluate and integrate emerging technologies enhancing product capabilities.

• Make build vs. buy decisions and manage technology stack evolution.

Software Engineering & Architecture

• Design and implement scalable system architecture for mobile and cloud applications.

• Oversee iOS and Android development for seamless user experiences.

• Architect backend systems, APIs, and microservices infrastructure.

• Ensure code quality through reviews, testing frameworks, and CI/CD pipelines.

• Lead decisions on frameworks, languages, and tools.

• Implement monitoring, alerting, and incident response systems.

Data Engineering & AI/ML

• Architect data infrastructure for secure large-scale health data collection and processing.

• Design real-time and batch pipelines for digital phenotyping signals.

• Lead development and deployment of ML models for mental health risk detection.

• Establish data governance ensuring privacy, security, and regulatory compliance.

• Build analytics capabilities for clinical validation and product insights.

• Collaborate with research teams to translate clinical requirements into technical implementations.

Regulatory & Security Compliance

• Ensure platform compliance with HIPAA, GDPR, PDPA.

• Implement security best practices including encryption, authentication, and access controls.

• Lead technical aspects of regulatory submissions and audits.

• Establish data protection and incident response protocols.

• Work with clinical and legal teams on IRB and data handling requirements.

Team Building & Management

• Build, lead, and mentor a high-performing engineering team across full-stack, mobile, data, and ML.

• Foster a culture of innovation, collaboration, and continuous learning.

• Manage resources, priorities, and delivery timelines.

• Conduct performance reviews and support professional growth.

• Partner with product and clinical teams to turn requirements into solutions.

Stakeholder Collaboration

• Partner with CEO on strategic technology decisions.

• Communicate technical concepts to non-technical stakeholders, investors, and customers.

• Collaborate with researchers to ensure platform alignment with study protocols.

• Represent the company at industry conferences and technical forums.

Required Qualifications

Education & Experience

• Postgraduate degree in Computer Science, Software Engineering, or related technical field preferred

• 10+ years of software engineering experience with 5+ years in senior technical leadership roles

• Proven track record of building and scaling technology platforms from early stage to production

• Experience leading engineering teams of min. 5 people

• Prior CTO, VP Engineering, or equivalent leadership experience in startup or high-growth environment

• Working knowledge of digital phenotyping, passive sensing, or wearable device integration

Technical Expertise

• Deep expertise in software architecture, system design, and distributed systems

• Strong proficiency in modern programming languages

• Extensive experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code

• Expertise in mobile application development (iOS and Android native or cross-platform)

• Strong background in data engineering and warehousing

• Hands-on experience with machine learning frameworks

• Proficiency in SQL and NoSQL databases, data modeling, and optimization

• Experience with containerization and microservices architecture

• Knowledge of API design, RESTful services, and real-time data streaming