Top Tech Jobs & Startup Jobs in Hungary

Lead end-to-end cloud data platform design and delivery for omnichannel retail clients. Split time between pre-sales discovery and architectural oversight during build. Architect AI-ready data foundations (feature stores, embeddings, vector DBs), define ingestion, storage, transformation, modeling, BI and CDP integration, and enforce automation, IaC, CI/CD, testing, and observability. Co-sell and present architectures to technical and executive stakeholders.

Manage and grow strategic eCommerce client relationships by identifying upsell and cross-sell opportunities, creating tailored technical and commercial proposals, leading sales processes from discovery to close, coordinating with internal teams, and representing scandiweb in international meetings and travel.

Own SEO strategy and KPI progress for client accounts, build AI-supported workflows and automations, create repeatable SEO processes, lead client communications and reviews, and drive measurable visibility and business outcomes by combining AI tools and specialist expertise.

Lead the estimating product roadmap for an AI-powered construction SaaS: prioritize and ship MVPs, run rapid experiments, conduct user discovery with estimators, define success metrics, and iterate using data and user feedback.

As a Global Employer Brand Manager, you'll drive talent marketing campaigns, develop the Employee Value Proposition (EVP), manage external partnerships, and track hiring metrics to enhance Solidgate's employer brand in Europe.

Support merchants integrating and operating Solidgate's payments platform: analyze client requests, troubleshoot technical issues, collaborate with product and engineering, communicate with clients, and maintain product documentation. Use SQL regularly; Postman and Python experience is a plus.

Open unsolicited application invite to join ScorePlay, an AI-powered sports media startup. Company seeks people passionate about sports who thrive in fast-paced environments; hires across New York, Paris, and remotely. Encourages candidates even if they don’t meet every listed requirement.

Lead SRE efforts to ensure reliability, scalability, and performance of a large-scale platform. Architect observability, define SLOs/SLIs, lead incident response and post-mortems, automate infrastructure and CI/CD, optimize Kubernetes/GCP deployments, debug distributed systems, mentor engineers, and write production-quality Python or Go code.

Ensure reliability, scalability, and performance of Replit infrastructure. Build observability, automate infrastructure with IaC, establish SLOs/SLIs, lead incident response and post-mortems, optimize performance and capacity planning, and maintain CI/CD and self-healing systems.

Lead and scale Replit's commercial presence in EMEA from London by sourcing and closing enterprise and government partnerships, activating reseller and education channels, driving product-led adoption and community engagement, representing Replit at events, and building a measurable pipeline and partner programs.

Design, build and evolve Polar's platform to ensure high availability, scalability and operational safety. Improve CI/CD, infra-as-code, observability, SRE practices, deployment safety and production debuggability while supporting payments, billing and regulatory requirements.

Act as a consultative advisor for existing HighRadius customers to identify and close expansion opportunities, build executive relationships, conduct finance-transformation assessments, develop roadmaps and business cases, meet monthly sales targets, manage sales forecasts and playbook execution, coordinate internal teams, and attend client and industry events.

The Sales Manager role involves market analysis, managing quotations, supporting customer audits, project management, and negotiating with clients in the automotive industry.

Lead end-to-end UX/UI design for a B2B SaaS security product, turning complex AI and cybersecurity challenges into intuitive interfaces. Create high-fidelity wireframes, prototypes, and maintain a company-wide design system while running user research and collaborating closely with Product and Engineering.

Lead end-to-end ML work: define product problems as ML tasks, prototype and ship models (ranking, retrieval, LLM agents), build evaluation and monitoring, and measure marketplace impact (bookings, retention, GMV). Collaborate with engineering, product, and growth to deploy production models and improve LLM reliability.