Top Tech Jobs & Startup Jobs in Prague

Develop, customize, integrate, support, and troubleshoot Rockwell Automation’s enterprise Windchill PLM platform. Responsibilities include translating requirements into solutions, building workflows and reports, preparing technical specifications, estimating development work, implementing third-party integrations, supporting upgrades and maintenance, assisting global users, and participating in SAFe ceremonies. The role is hybrid and collaborates with cross-functional teams, PTC Cloud support, and external partners.

Develop and modernize front-end infrastructure for cloud-based networking and security management products. Responsibilities include designing front-end platform solutions, building and optimizing CI pipelines, maintaining testing frameworks, supporting CI/CD modernization, researching technologies, and establishing engineering best practices. The role also involves mentoring engineers, collaborating across teams, owning complex projects end to end, and contributing to the Prague team culture in a hybrid office environment.

Develop and enhance Veeam Backup for Salesforce by contributing to product architecture, implementing functionality, and resolving technical issues. The role requires Java and Spring expertise, Salesforce platform experience, REST service development, and practical application of design patterns. Engineers work with Java 21, Kotlin, Spring Boot, Gradle, Maven, PostgreSQL, and Hibernate. Kubernetes, Azure, and PostgreSQL experience are beneficial, and English is required for international team communication.

Lead a product design mission: craft interaction and interface designs, use AI across research and prototyping, build wireframes and working prototypes, run customer research and testing, collaborate with PMs and engineers, improve team design tools/processes, and ensure shipped product matches design quality.

The Product Manager will oversee product delivery, manage backlogs, write specifications, conduct user interviews, and coordinate across teams to drive product success in a regulated environment.

Lead single-threaded product and technical ownership for Client Intelligence & Data, defining APIs and event-driven architectures to deliver merchant-facing analytics, KPIs, and reports. Drive platform strategy toward AI-driven insights, enforce production reliability and automated QA, champion You Build It You Run It culture, partner cross-functionally to scale multi-tenant analytics capabilities, and prioritize work using evidence-based frameworks.

Design, deploy, and operate production-scale AI/ML systems for personalization, semantic search, and RAG. Own vector database strategy, build embedding and retrieval pipelines, define BigQuery data models, architect AI services on GCP, and partner with product and marketing teams to deliver AI-driven customer and campaign capabilities.

Ensure data accuracy and reliability by writing Python scripts, maintaining Airflow pipelines, investigating anomalies, processing large datasets, building internal data-quality tools, and collaborating with engineering and client teams to deliver clean, production-ready data.

Manage and grow key customer accounts, develop tailored solutions, coordinate cross-functional teams, support marketing and pricing, monitor in-store/product performance, and meet company KPIs to expand product range and strengthen long-term partnerships.

Develop and improve sourcing strategies, negotiate with dedicated providers, secure favorable contractual conditions, and maintain internal customer satisfaction. The role provides sourcing expertise, influences stakeholders, supports policy and strategy development, analyzes data for recommendations, and may lead regional teams, programs, and projects. It requires sound judgment, strong communication, leadership, problem-solving, and project management skills.