VP of Engineering

• Technical Leadership: Provide strategic direction and leadership to the engineering team, fostering a culture of innovation, collaboration, and excellence.
• Product Development Collaboration: Collaborate closely with the SVP of Product to prioritize features, and deliver high-quality solutions that align with business objectives.
• Work closely with the Tech Leads on the definition and implementation of a solid technical roadmap.;
• Data-Driven Insights: Leverage data analytics and machine learning to derive actionable insights, inform product decisions, and enhance the effectiveness of our digital mental health offerings.
• Architecture and Scalability: Architect scalable, reliable, and secure systems to support our growing user base and evolving product portfolio, ensuring optimal performance and user experience.
• Team Management: Recruit, mentor, and inspire a high-performing engineering team, fostering professional growth and creating a culture of accountability and continuous learning.
• Cross-Functional Collaboration: Collaborate closely with cross-functional teams, including product management, design, clinical, and data science, to define requirements, prioritize initiatives, and drive successful product launches.
• Technical Excellence: Drive engineering best practices, code quality, and technical excellence across the organization, promoting a culture of craftsmanship and innovation.
• Client-facing: actively participate in discussions to explore potential integrations, collaborate on developing new features, and lead technical conversations.
• Strategic Planning: Partner with executive leadership to define and execute the long-term technical roadmap, identifying opportunities for innovation and competitive differentiation. Besides it will be responsible for the definition of the technology strategy with partners
• Continuous Improvement: Champion a culture of continuous improvement, experimentation, and feedback, driving iterative enhancements to our products and processes.
• Work with our cybersecurity team to implement best practices.
• Mentoring and coaching; you will cover multiple disciplines from product engineers, to DevOps, QA and integration specialists.
• Team coordination; ultimately, you will be accountable for the success of the engineering teams, making sure that business goals are clearly communicated and delivered on time.

• Hands-on experience working in Agile/Scrum methodologies and frameworks
• Hands-on experience with cloud-based architecture (we use AWS)
• Hands-on experience building cloud-based data engineering solutions is a big plus;
• Hands-on Experience implementing automated testing platforms
• Excellent communication skills, fluency in English, comfortable with Clients
• Experience using most of our technology stack NodeJS (NestJS and Express are big pluses), TypeScript, Flutter, Angular, React, PostgreSQL, DynamoDB, AWS and EKS
• Hands-on experience working with both a core full-time team and an outsourced model when appropriate

• Problem Solving and Decision Making: Able to break complex problems into bite-size components, solve these components, and recombine into a global solution
• Planning and Prioritization: Prioritises and uses time effectively to meet or exceed expectations and deadlines
• Collaboration: Achieves results by working with the team towards a common goal

• Developing self and others: Strives to improve own and others' capabilities and performance
• Conflict Resolution: Manages conflict in a constructive manner
• Performance Management: Encourages High Performing teamwork through Psychological safety
• Inclusiveness: I ensure that diverse members of the team can contribute

• I actively listen to all members of the team and seek their viewpoints
• I treat all team members with respect
• I strive to communicate in a way that all members of the team can understand
• I create space for all voices

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Proven track record of leadership in a fast-paced technology startup environment, with at least 10 years of experience in engineering management or similar roles
• Deep technical expertise in software engineering, architecture, and cloud technologies, with hands-on experience in building and scaling mobile applications
• Strong understanding of data analytics, machine learning, and data-driven product development, with the ability to leverage data insights to inform decision-making and drive innovation
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams, executive stakeholders and potential clients
• Accountability: Demonstrates a commitment to high performance by setting and signing up for challenging targets. Holds oneself and the engineering team accountable for delivering results, even in a fast-paced environment.

Koa Health