Top Tech Jobs & Startup Jobs in Prague

Lead EMEA sales for mediasmart's CTV and omnichannel solutions. Build and manage multi-market pipelines, close complex deals, develop agency and advertiser relationships, shape go-to-market messaging with Product and Marketing, represent the company at industry events, and collaborate with Customer Success and AdOps to ensure campaign execution and product adoption.

Designs and builds scalable Azure data pipelines, integrates structured and unstructured sources, and provisions data into Lakehouse architectures. Develops with Azure Data Factory and Databricks, implements batch and streaming processing, applies business logic, optimizes large datasets, and supports legacy database migrations to cloud platforms. Collaborates in Agile teams to deliver trusted data solutions for analytical users.

Design, implement, and operate scalable, multi-cloud distributed infrastructure and core services (TypeScript, Kotlin, Go). Optimize compute, storage, networking, and observability; support event-driven architectures; own end-to-end deployment and production reliability; implement disaster recovery and business continuity; collaborate with engineering, AI and security researchers to enable high-velocity product development.

Prospect and generate new B2B business across Czechia and Slovakia, manage full sales cycle from demos to contract negotiations, maintain CRM pipeline, attend customer meetings and events, collaborate with cross-functional teams, track market trends and real estate activity, and manage multiple projects to meet deadlines.

Serve as the technical lead for enterprise customers in EMEA, advising on data quality monitoring across cloud data warehouses, triaging alerts, recommending dataset design and configuration changes, supporting sales and CS, and feeding product and engineering with customer-driven improvements.

Curate and evaluate Automobilia lots (focus on car parts), create compelling listings, set reserve pricing, advise sellers, review submissions, monitor performance, and grow the category through industry relationships.

Support and enhance a live Stibo STEP Customer MDM platform by configuring data models, workflows, business rules, Web UI, dashboards, and data quality controls. Resolve match-merge and golden-record issues, maintain API integrations and ETL flows, tune performance, triage incidents, and produce technical documentation. The role requires daily overlap with UK business hours and collaboration with client data stewards.

Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and model release gates. Run end-to-end training experiments, select open-weight models, improve tool-using and multi-turn behavior, deploy models to production, and iterate using real-world usage. The role emphasizes Python engineering, reinforcement learning, GPU-based training, data quality, reward design, and production machine learning.

Administer and improve EDR and SIEM platforms, tuning detection rules, correlation logic, endpoint policies, alerts, dashboards, and integrations. Maintain log collection, agent health, platform availability, and security visibility across endpoints, servers, cloud, and network systems. Support investigations, onboard new systems, convert security findings into monitoring improvements, track detection coverage, and produce documentation and runbooks.

Lead the company’s ML/AI platform from experimentation through production, including SageMaker training infrastructure, model serving, inference pipelines, MLOps, and Java microservice integrations. Set AI/ML technical direction, develop GenAI and LLM retrieval and agent architectures, establish evaluation and safety guardrails, and partner with data science, DevOps, product, and engineering leadership on scalable ML roadmaps.