Senior VP of Engineering - Digital Health Platform

About Us

We are building the future of mental health detection through AI-powered digital phenotyping. Our platform leverages passive sensing technology and machine learning to identify early indicators of mental health risks, enabling timely intervention and improved outcomes. Backed by Singapore’s public health research ecosystem and supported by rigorous clinical research, we are committed to making mental healthcare more accessible, proactive, and effective.

About the Role

We are seeking an exceptional VP of Engineering to lead our technology vision and engineering execution as we scale our digital health platform. This is a rare opportunity to architect and build transformative technology at the intersection of AI and digital phenotyping for mental health. You will be responsible for defining our technical strategy, building and leading our engineering team, and ensuring our platform meets the highest standards of security, scalability, and regulatory compliance.

Key Responsibilities

Technical Leadership & Strategy:

• Define and execute the company's technology vision, strategy, and roadmap aligned with business objectives
• Lead architectural decisions for our digital health platform, ensuring scalability, reliability, and security
• Drive technical innovation in AI/ML models, digital phenotyping algorithms, and passive sensing technologies
• Establish engineering best practices, development processes, and quality standards
• Evaluate and integrate emerging technologies that can enhance our product capabilities
• Make critical build vs. buy decisions and manage the technology stack evolution

Software Engineering & Architecture:

• Design and implement robust, scalable system architecture for mobile and cloud-based applications
• Oversee development of iOS and Android applications with seamless user experiences
• Architect backend systems, APIs, and microservices infrastructure
• Ensure code quality through reviews, testing frameworks, and continuous integration/deployment pipelines
• Lead technical decisions on frameworks, languages, and development tools
• Implement monitoring, alerting, and incident response systems

Data Engineering & AI/ML:

• Architect data infrastructure for collecting, processing, and storing sensitive health data at scale
• Design data pipelines for real-time and batch processing of digital phenotyping signals
• Lead development and deployment of machine learning models for mental health risk detection
• Establish data governance frameworks 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 prevailing regulations (HIPAA, GDPR, PDPA)

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• Implement security best practices including encryption, authentication, and access controls
• Lead technical aspects of regulatory submissions and audits
• Establish data protection policies and incident response procedures
• Work with clinical and legal teams on IRB requirements and data handling protocols

Team Building & Management:

• Build, lead, and mentor a high-performing engineering team
• Recruit exceptional engineering talent across full-stack, mobile, data, and ML disciplines
• Foster a culture of innovation, collaboration, and continuous learning
• Manage engineering resources, priorities, and delivery timelines
• Conduct performance reviews and support professional development
• Partner with product and clinical teams to translate requirements into technical solutions

Stakeholder Collaboration:

• Partner with CEO and executive team on strategic technology decisions
• Communicate technical concepts to non-technical stakeholders including investors and board members
• Collaborate with clinical researchers to ensure platform supports research protocols
• Engage with regulatory bodies and external auditors on technical compliance matters
• 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
• Experience in health technology applications
• 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

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• 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

Healthcare & Regulatory Knowledge:

• Experience building healthcare or digital health products
• Understanding of healthcare data compliance requirements (PDPA, GDPR, etc.)
• Familiarity with clinical research protocols and data privacy standards
• Knowledge of security frameworks and healthcare-specific security requirements

Leadership & Soft Skills:

• Exceptional leadership and people management skills with ability to inspire and mentor teams
• Strong communication skills with ability to explain complex technical concepts to diverse audiences
• Strategic thinker with business acumen and understanding of startup economics
• Proven ability to work in fast-paced, resource-constrained startup environments
• Entrepreneurial mindset with ability to thrive in ambiguity and drive from 0 to 1
• Strong problem-solving skills and ability to make pragmatic technical decisions under pressure

What We Offer:

• Competitive remuneration package commensurate with experience
• Opportunity to shape technology strategy and architecture from the ground up
• Leadership role in a mission-driven company improving mental health outcomes
• Collaborative work environment with world-class researchers and clinicians
• Professional development opportunities
• Health and wellness benefits
• Visa sponsorship available for exceptional candidates

Interested candidates should submit:

• Resume/CV highlighting relevant technical leadership experience
• Cover letter describing your interest in this role and industry
• Links to GitHub, technical blog, publications, or portfolio (if applicable)