Top Tech Jobs & Startup Jobs in Czechia

Senior post-sales Solutions Architect owning technical success for strategic accounts: drive product adoption, resolve technical issues, consult on architecture and best practices, deliver training, advocate customer needs to product and engineering, and collaborate with account teams on renewals and expansion.

The role involves building and maintaining backend applications in Python, developing features for the execution platform, deploying to production, and collaborating with internal teams on requirements.

The Financial Analyst analyzes financial data, prepares budgets and reports, monitors KPIs, and collaborates with teams for financial strategy.

As a Business Development Executive, you will lead B2B sales in financial services, develop strategic relationships with C-level executives, negotiate agreements, and execute market strategies.

Freelance field researchers will visit cafes, markets, and vendors to test PayMoji scanning of local QR codes, document cash vs digital usage, observe merchant reactions, and report usability and on-the-ground payment barriers while living or traveling in-country.

Manage projects from quotation to assembly, providing technical support and ensuring quality specifications are met while calculating costs.

The role involves managing client accounts and maintaining relationships within the Czech Republic market.

Drive strategic sales plans to meet targets and grow market share for Honeywell solutions. Build and maintain customer relationships, align solutions to customer needs, analyze market trends and competitors, and use CRM and sales analytics to identify opportunities and improve performance.

Design user interfaces and flows for web and mobile, build and maintain a Figma design system, create wireframes and prototypes, and collaborate with product, frontend, and QA to deliver engaging iGaming experiences.

Design, build, and scale ETL/ELT and real-time data pipelines for AI workloads (RAG, fine-tuning, batch inference). Transform unstructured data into vectorized formats, manage feature stores and vector databases, enforce data quality/governance, integrate event systems (Kafka), and collaborate with ML and engineering teams.