About the role
- •Director of Engineering Who We Want Are you excited about shaping the future of intelligent, no-code technology? We’re a high-growth event-tech startup building an AI-powered platform to help enterprises and creators design personalized experiences at scale.
- •We’re looking for a Director of Engineering to lead platform development and AI integration, and help us build a world-class engineering culture.
- •Reporting Working closely with and reporting to the Head of Technology for Blink Responsibilities Strategic Leadership: Define and execute engineering initiatives aligned with Blink’s platform evolution and AI-driven roadmap Drive the integration of large language models (LLMs) and AI into product experiences and platform intelligence Stay informed on emerging technologies, particularly in no-code, AI/ML, and developer platforms, to ensure Blink remains a market leader Team Management: Lead and grow a high-performing engineering team across backend, frontend, and AI/ML disciplines Foster a culture of ownership, innovation, and engineering excellence Support team growth through coaching, mentoring, and clear performance goals Product Development: Architect scalable, data-driven systems and infrastructure to support Blink’s growing platform Guide the evolution of our no-code architecture and improve the overall developer experience Collaborate with Product, Design, and GTM teams to ensure fast, high-quality product delivery Champion modern engineering practices, agile methodologies, and code quality standards Infrastructure & Security: Ensure platform scalability, reliability, and observability through robust tooling and cloud-native practices Implement and maintain infrastructure best practices with a focus on performance, monitoring, and security Stakeholder Collaboration: Work closely with cross-functional stakeholders to align engineering outcomes with business needs Represent engineering in strategic discussions, product planning, and technical deep dives Qualifications Education: Bachelor’s degree in Computer Science, Engineering, or a related field Experience: 8+ years of software engineering experience, including 3+ years in technical leadership or management roles Proven track record in AI/ML integration, scalable platform systems, and API development Experience with no-code/low-code platforms or developer ecosystems Skills: Strong understanding of distributed systems, data pipelines, and observability tools Hands-on experience with languages and tools like Ruby, Java, React, GraphQL, AWS/GCP, and Kubernetes Bonus: Experience with vector databases, LLM frameworks (e.g., LangChain, RAG), and open-source AI tools Excellent communication, collaboration, and problem-solving skills Strong organizational skills with a passion for continuous improvement Agile Practices: Demonstrated success with agile product development, iterative delivery, and team velocity optimization English fluency: Excellent command of English language, both written and spoken.