Engineering Manager Role Opens in Sofia

Founded in Paris in 2012, Adikteev is a mobile marketing platform focused on app retargeting and user retention. The company utilizes machine learning for churn prediction and has raised a total of $13.4M, including a $12M Series B round to fuel its R&D and international growth. Its technology stack includes TypeScript, Node.js, and Redux, processing data through systems like Cassandra and Apache Spark. The global ad-tech market is projected to surpass $1.5 trillion by 2030, driven by advancements in programmatic advertising and AI. Adikteev's focus on re-engagement and maximizing user lifetime value aligns with industry-wide shifts toward privacy-centric solutions and leveraging first-party data in a post-cookie advertising world. In 2022, the company launched an AI-based cross-promotion stack to help publishers navigate changes like Apple's ATT framework. Bulgaria has established itself as a significant tech hub in Southeastern Europe, with 126,100 ICT specialists employed in 2023. The country's flat 10% corporate tax rate and a growing ecosystem of over 500 startups create a favorable environment for international tech companies. This has attracted firms looking to tap into a dense and export-oriented tech workforce. For frontend leadership, the role enters a landscape where TypeScript is now the professional standard for building scalable applications. The dominance of meta-frameworks like Next.js for full-stack development is reshaping team workflows, emphasizing performance and improved developer experience. This shift requires managers to be technically credible in modern, component-driven architectures. AI-assisted development is profoundly transforming engineering workflows, with tools like GitHub Copilot seeing adoption from over a million developers. Studies show these tools can double development speed on certain tasks and allow engineers to focus on more complex problem-solving. A key challenge for new managers is setting standards for integrating AI-generated code and leveraging these tools to enhance team productivity. The underlying data science in ad-tech, which predicts user behavior, shares conceptual parallels with Web3 prediction markets. Both fields rely on aggregating data to forecast future outcomes, with blockchain-based prediction markets emerging as a tool for harnessing collective intelligence through economic incentives. Navigating the local talent market is a key management function, with experienced software engineer salaries in Sofia typically ranging from €2,000–€3,500 monthly, significantly lower than in Western Europe. This cost-effectiveness, combined with a high quality of life, makes Bulgaria an attractive location for building and scaling engineering teams within the EU.