Top Remote Jobs in Hungary

Conduct research across the full machine learning lifecycle, including ideation, model design, implementation, evaluation, training, inference optimization, and deployment. Develop novel machine learning methods and foundation models, establish evaluation protocols, scale training with GPUs or TPUs, and improve research engineering infrastructure for rapid experimentation.

Own the global B2B content strategy for enterprise audiences, producing content across web, advertising, whitepapers, case studies, thought leadership, social, video, and sales enablement. Build AI-assisted content workflows using prompt libraries, context engineering, repositories, agentic processes, and human review gates. Partner with Product, Sales, and regional Marketing teams to develop enterprise messaging and improve content quality through performance data.

Own the acquisition-to-purchase funnel for a mobile-first subscription business, including onboarding, activation, paywalls, pricing, packaging, and experimentation across iOS, Android, and web. Drive new subscriber revenue, conversion, lifetime value, renewal quality, and attendance through funnel analytics and rigorous testing. Collaborate with Marketing, Data, Engineering, and Product teams to improve user acquisition, activation, and monetization across markets.

Provide technical support for customer applications by debugging production issues, resolving bugs, advising on architecture and integrations, improving the platform, maintaining documentation, building support automations, and handling platform incidents and customer communications. The role requires strong TypeScript and React skills, web application fundamentals, systems thinking, clear writing, and prior customer-facing experience.

Own full-cycle technical recruiting across Engineering, Product, and Design. Build diverse talent pipelines, advise hiring managers and senior leaders, use AI-assisted recruiting tools, improve recruiting processes, manage talent communities, and report on hiring metrics. The role emphasizes stakeholder influence, candidate advocacy, sourcing hard-to-find talent, and delivering strong candidate and hiring-manager experiences.

Own product and protocol security across Jito’s Solana-based products. Responsibilities include threat modeling, secure design and code reviews, deployment hardening, internal audits, onchain monitoring, bug bounty operations, remediation tracking, AI-assisted security testing, and key and asset risk management. The role requires production software engineering experience, strong application security expertise, security automation skills, and familiarity with Web3, crypto, or DeFi.

Owns the design, development, modernization, deployment, and operation of production software systems. Responsibilities include incrementally decomposing monoliths into scalable services, maintaining API and data compatibility, improving reliability and performance, implementing automated testing, operating AWS cloud services, monitoring production systems, participating in 24/7 on-call, and using AI-assisted development tools.

Own the full sales cycle for mid-market customers, from self-sourced outbound prospecting through discovery, product demonstrations, negotiation, and closing. Build multi-stakeholder consensus, develop business cases, manage security and procurement reviews, sell web app and API use cases, maintain accurate CRM data, and partner with growth, product, customer success, and PLG teams to expand adoption of HeyGen’s AI video platform.

Lead platform engineering across infrastructure, CI/CD, testing, developer tooling, observability, and secure software delivery. Build internal platforms, golden paths, and shared tooling that improve developer and AI-agent productivity. Establish engineering standards, integrate security controls into pipelines, shape repositories for coding agents, and measure impact through DORA metrics and engineering feedback.

Lead backend engineering for GEO products that analyze and improve brand visibility across AI-powered search platforms. Responsibilities include architecting LLM integrations, evaluating AI-generated results, and ensuring observability, testing, cost efficiency, resilience, and graceful degradation. The role provides technical leadership, guides delivery, assesses emerging AI technologies, and partners with Product and Engineering to build scalable backend solutions.