Chief Technology Officer Adtunez

About Adtunez

Job Description

Role Overview As CTO, youll lead the entire technology function from product architecture to team management. Youll work directly with the founders, guiding product evolution, scaling the backend, and delivering seamless user experiences powered by data. Tech Stack Frontend: Next.js Backend: Node.js (REST/GraphQL APIs) Databases: MySQL, Redis (for caching, queueing, real-time performance) Key Responsibilities Define and lead the tech strategy, architecture, and execution roadmap of a SAAS Product. Build and scale modular, maintainable, and secure backend infrastructure. Oversee frontend performance, UX stability, and modern best practices in React/Next.js. Own data management and real-time processing pipelines using MySQL and Redis. Design and maintain high-availability, fault-tolerant systems for fast-growing user traffic. Collaborate closely with the founders, PPC team, and UI/UX to bring value-driven features to market. Establish coding standards, documentation practices, and dev workflows (CI/CD, Git, automated testing). Mentor and grow the internal dev/design team while hiring top engineering talent. Keep a pulse on modern tools (AI, LLMs, auto-optimization APIs, etc.) that can enhance platform intelligence. Required Experience 8+ years of overall software development experience. Minimum 3 years in a senior leadership role (CTO, VP Engineering, or equivalent). Proven experience in building and scaling SaaS products ideally in AdTech, MarTech, or Analytics. Deep expertise in: Node.js, RESTful/GraphQL APIs Next.js/React, component architecture, SSR/CSR MySQL, DB optimization, migrations, data design Redis, caching layers, pub-sub, and queueing systems Strong understanding of cloud infrastructure (AWS/GCP), CI/CD, and DevOps pipelines. Familiarity with building scalable analytics engines, campaign tracking, or real-time alerting systems. Excellent problem-solving, communication, and leadership skills. Nice-to-Have Experience with Google Ads / Meta Ads APIs Background in AI/ML integrations for recommendations/automation Previous startup or early-stage product experience Exposure to data visualization libraries, dashboards, or performance scorecards,