Top Tech Jobs & Startup Jobs in Hungary

Marketing and business development intern supporting market research, lead generation, outreach, pitch materials, campaign execution, competitor analysis, KPI reporting, funnel optimization, events, and partnership initiatives. The role is remote, part time, and unpaid, with mentorship and potential future employment based on performance.

Own execution quality and success rates for a blockchain aggregation product while leading onboarding of new liquidity sources and ecosystems. Define monitoring, metrics, and product improvements; translate technical and business needs into engineering specifications; monitor API performance; manage decentralized exchange and liquidity partner relationships; and collaborate with business development, QA, and data teams.

Performs financial accounting and Record to Report activities, including accounts receivable, bank postings, fixed assets, leases, CAPEX, taxes, journals, accruals, reconciliations, intercompany clearing, cost and revenue allocation, SAP product closing, consolidation reporting, and audit support. Partners with cross-functional teams to complete closing activities accurately and on schedule while maintaining compliance with accounting standards and process documentation.

The Field Sales Representative will drive sales and account growth across the automotive market in Bács-Kiskun County. Responsibilities include visiting high-potential customers, expanding market penetration, negotiating terms, managing claims and margins, promoting application-based solutions, maintaining customer data, analyzing sales KPIs, and delivering sales targets. The role also supports pricing initiatives, annual sales planning, omnichannel coordination, and collaboration with the wider sales team.

Own the Payments & Finance product domain, including credit lines, financial exposure, risk management, payment flows, ledgers, and financial operations. Lead product strategy, priorities, experimentation, commercial outcomes, and trade-offs while partnering closely with Finance, Risk, and Engineering. Build scalable, reliable, and automated infrastructure that supports complex client payment requirements and growing transaction volumes.

Develops and maintains automated web and API tests using Java, Selenium, and REST Assured. Integrates testing into Jenkins and Git CI/CD pipelines, analyzes reports, investigates defects, prepares test data, and supports manual functional, regression, and exploratory testing. Collaborates with QA, Development, Product, and DevOps teams throughout Agile delivery, performs root-cause analysis, participates in code reviews, and supports release validation and quality gates. AI-assisted testing and MCP integrations are important aspects of the role.

Own and resolve complex customer issues across CaptivateIQ’s SaaS platform, investigating data models, calculations, configurations, integrations, and product functionality. Partner with Product, Engineering, and Customer Success to identify root causes, improve processes, and prevent recurring issues. Mentor consultants, communicate technical resolutions clearly, and contribute to documentation and support scalability. Work scheduled shifts aligned with European, US Eastern, or US Pacific business hours and participate in after-hours on-call support.

Develop and maintain ABBYY Vantage cloud-native services supporting document AI capabilities, including OCR pipelines, AI skill workflows, APIs, infrastructure, and analytics. Design, test, deploy, and monitor reliable software; participate in code reviews; improve tooling and delivery workflows; resolve production incidents; and collaborate with product, UX, ML, and engineering teams.

Recruit global technical talent for EverAI, managing sourcing, talent mapping, interviews, candidate experience, and hiring coordination. Partner with founders and team leads to improve recruiting workflows, adopt AI-powered tools, maintain passive-talent relationships, and support employer-branding initiatives as the company scales internationally.

Design and develop production-ready AI applications, assistants, agents, and intelligent automations using Python, LLMs, APIs, databases, and enterprise integrations. Build hybrid solutions combining traditional software engineering with AI, deploy and monitor applications, support CI/CD, and ensure scalability, security, maintainability, and reliability. Evaluate business use cases for AI, troubleshoot operational issues, and collaborate with stakeholders to deliver effective solutions.