Top Tech Jobs & Startup Jobs in Hungary

Owns day-to-day revenue operations support for Sales, including HubSpot administration, CRM data audits, deduplication, permissions, field and layout management, GTM technology administration, documentation, user support, and tool adoption. Partners with Sales, Marketing, and other go-to-market teams to improve system reliability, data quality, workflows, integrations, and operational processes.

Own full-cycle technical recruiting for engineering and design roles across Europe and the US. Responsibilities include sourcing, screening, interview process management, candidate closing, pipeline development, technical candidate assessment, stakeholder partnership, role calibration, and candidate experience. The role focuses on hiring for Viewer, SDK, full-stack, CI/CD, and design teams in a remote-first startup environment.

Lead end-to-end recruitment for senior, specialist, and business-critical commercial and business-function roles. Build targeted sourcing strategies, advise senior stakeholders, manage complex offers, and assess leadership talent. Coach Talent Acquisition colleagues, improve search execution, use recruitment data and market insight, maintain Greenhouse reporting, and strengthen inclusive assessment processes, workflows, automation, and candidate experience.

Build and operate core platform systems for users, workspaces, permissions, APIs, authentication, and resource management. Deliver full-stack features with a backend focus, including admin and settings interfaces. Scope work within large existing systems, plan migrations, manage safe rollouts, debug production issues, and collaborate across product and engineering teams. Candidates need strong Python and backend development expertise, software and system design knowledge, testing and security fundamentals, and the ability to navigate ambiguity.

Design, build, and own scalable backend systems, APIs, and infrastructure for high-trust environments. Maintain hands-on coding involvement while driving testing, quality, maintainability, and technical culture. Solve complex product challenges with a user-first mindset, collaborate clearly, and operate effectively in ambiguity. Experience with the listed technology stack is beneficial but not required; AI feature and product analytics experience is a bonus.

Develop a highly optimized, open-source AI inference framework using low-level C/C++/Rust software, GPU kernels, hardware offloads, and RDMA networking. The role focuses on Linux systems, network performance, computer architecture, scalability, benchmarking, and high-performance computing across large data centers and supercomputers.

Lead cross-functional supply chain projects to improve planning, logistics, inventory and KPIs. Coordinate operations, analyze performance data, implement process improvements, manage risks, and report results to senior management to ensure product availability and operational efficiency.

Architects and implements data pipelines, platforms, and warehouses on Google Cloud. Provides technical consulting, training, presales support, and proof-of-concept delivery for clients. Leads and mentors data engineering teams, guides cloud adoption, manages stakeholders, supports agile practices, and owns end-to-end development lifecycles. Requires strong coding, GCP, BigQuery, Kubernetes, Airflow, dbt, and agentic AI experience, plus English and Hungarian communication skills.

Support Web3 users and technical operations across Telegram, Discord, blockchain infrastructure, RPC services, and AI-powered support workflows. Triage node and synchronization issues, develop and troubleshoot Telegram Bots and Mini Apps, maintain knowledge-base content, coordinate urgent issue resolution, and document solutions. The role requires blockchain fundamentals, programming ability, technical troubleshooting, responsive communication, and five-day weekly availability.

Leads forecasting, financial close, annual planning, variance analysis, KPI tracking, and reporting for commercial business units. Partners with senior leaders and district managers to improve financial visibility, accountability, and decision-making. Develops financial models, supports process improvement initiatives, analyzes sales funnels and market trends, and uses reporting tools and AI-enabled analytics to identify risks, opportunities, and productivity improvements.