
51 - 200 employees
🤖 Artificial Intelligence
☁️ SaaS
Artificial Intelligence • SaaS • Translation Services
Smartcat is an innovative AI-powered platform specializing in translation and localization solutions for businesses seeking to communicate globally. The platform offers an array of services including AI translation, AI content generation, and seamless translation management workflows that combine both AI and human inputs. Its marketplace connects users to a vast network of over 500,000 linguists, providing flexibility and scalability in handling diverse linguistic needs. Trusted by entities such as the Fortune 1000, Smartcat significantly reduces translation costs and time while maintaining high-quality outputs. The platform's integration with multiple tools and its user-friendly interface support a wide range of content types, from documents to eCommerce sites, making multilingual communication efficient and accessible.
🕒 July 15
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51 - 200 employees
🤖 Artificial Intelligence
☁️ SaaS
Artificial Intelligence • SaaS • Translation Services
Smartcat is an innovative AI-powered platform specializing in translation and localization solutions for businesses seeking to communicate globally. The platform offers an array of services including AI translation, AI content generation, and seamless translation management workflows that combine both AI and human inputs. Its marketplace connects users to a vast network of over 500,000 linguists, providing flexibility and scalability in handling diverse linguistic needs. Trusted by entities such as the Fortune 1000, Smartcat significantly reduces translation costs and time while maintaining high-quality outputs. The platform's integration with multiple tools and its user-friendly interface support a wide range of content types, from documents to eCommerce sites, making multilingual communication efficient and accessible.
• Evolve Smartcat's data architecture into a scalable, cloud-native, AI-first platform • Lead the transition from batch-oriented pipelines to near real-time and streaming systems • Improve reliability, observability, governance, and performance across the data stack • Establish data engineering standards and best practices • Build AI-ready data products consumable by AI agents, analytics systems, and business users • Develop semantic layers and metadata management structures • Use AI to accelerate development, testing, documentation, monitoring, and operational workflows • Design systems that allow AI agents to query, understand, and safely act on business data • Improve business intelligence and enable governed self-service analytics • Partner across Data, Product, Engineering, GTM, and AI teams • Provide mentorship, code reviews, architecture leadership, and knowledge sharing • Own defined architecture or data-product components end-to-end and deliver measurable improvements in reliability, observability, or time-to-insight
• 6+ years of experience in Data Engineering, Analytics Engineering, or a related field • Proven track record designing and operating modern cloud data platforms, ideally in high-growth SaaS environments • Experience working effectively with technical and business stakeholders • Ability to lead complex projects from design through delivery • Strong hands-on experience with Databricks, dbt, Airflow, Python for data engineering, SQL and data modeling, data warehousing architectures, data quality frameworks, data governance, and data orchestration/integration • Experience with streaming architectures and event-driven systems • Experience with business intelligence platforms, product analytics platforms, and CRM/customer data platforms • AI-first mindset, including AI-powered development workflows and AI use for debugging, testing, architecture exploration, documentation, and automation • Evidence of measurable productivity gains through AI adoption • Bonus: experience building AI-native data products, semantic layers, RAG systems, vector databases, knowledge graphs, or enabling AI agents to consume operational business data
• Remote-friendly work arrangement • Globally distributed, collaborative team • AI-native organization and opportunities to work with AI agents • Inclusive workplace culture committed to respect, diversity, and non-discrimination • Opportunity to shape the future of work and an AI-powered platform • Opportunity to contribute to scaling a Series C company • Flexible location within the Serbia remote hiring location
Apply Now🕒 March 10
Azure Data & Platform Engineer migrating SQL Server and PostgreSQL workloads to Azure SQL Database. Collaborating with global teams to implement PaaS and DBaaS solutions.