Top Tech Jobs & Startup Jobs in Hungary

Develop CX, employee experience, and loyalty strategies using data, insights, and human-centered design. Partner with client leadership, facilitate workshops, design learning and change initiatives, create governance and measurement frameworks, coordinate cross-functional teams, and support implementation, proposals, and mentorship.

Conduct attacker-driven security research on Aave protocol changes, smart contracts, integrations, and critical dependencies. Review architecture and code before audits or deployment, identify exploitable protocol risks, contribute to AI-assisted security tooling, and translate findings into invariants, testing, monitoring, and incident-response improvements. Collaborate with engineers, auditors, and monitoring teams while communicating risk, severity, uncertainty, and trade-offs clearly.

Lead and mentor a globally distributed engineering team while contributing to coding, architecture, peer reviews, and technical decisions. Design and deliver scalable user-facing systems, promote CI/CD, testing, code quality, and DevOps practices, and improve engineering workflows. Collaborate with product, design, data, and AI specialists to shape roadmaps and integrate personalized learning capabilities. Manage engineers through regular one-to-ones, feedback, and career support.

Provide fast, empathetic live chat and ticket support for clients using the platform. Troubleshoot issues, escalate complex problems, maintain support records, contribute to knowledge base, and help meet SLAs to improve client satisfaction and retention.

Leads the global SAP Supply Chain team, managing S/4HANA deployments across countries and business units while enhancing legacy ECC systems. Responsibilities include SAP solution design, process standardization, ECC-to-S/4HANA migration, stakeholder and supplier management, risk resolution, people leadership, and business transformation. The role requires deep SAP Supply Chain expertise, enterprise implementation experience, system integration skills, and the ability to manage cross-functional teams and suppliers.

Build and ship backend features for enterprise Coder deployments, including database migrations, observability, reporting, auditing, security, scalability, and reliability improvements. Investigate production issues, resolve operator problems, document designs, participate in code reviews and RFC discussions, and join on-call rotations. The role requires professional Go development, concurrency knowledge, SQL expertise, debugging ability, and strong communication.

The Senior Data Analyst will provide product, operations, and business analytics; analyze internal, market, and customer data; translate findings into actionable insights; improve product features; define data models; ensure data quality; and build dashboards and analytical models using Snowflake, Looker, Amplitude, and related tools. The role also involves A/B testing, causal inference, stakeholder communication, and collaboration with data engineers.

Manages import documentation, registrations, tracking files, supply chain invoices, purchase orders, SOX approvals, and inventory records. Provides administrative support to the Supply Chain team while supporting ESG reporting and maintaining accurate Excel and ERP data.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.

Lead the company’s Physical AI research and engineering function as a hands-on technical leader. Define research priorities, design and train Transformer-based models, establish rigorous offline and real-world evaluations, integrate systems with physical robots, and analyze failures across data, models, hardware, and environments. Build a focused team, guide technical architecture and experiments, translate customer needs into requirements, and deliver measurable improvements through deployed models, benchmarks, evaluation systems, or data products.