Top Tech Jobs & Startup Jobs in Poland

Design and run quantitative research, integrate survey, CRM, digital and revenue data, perform advanced statistical analyses and segmentation, build dashboards, and translate insights into actionable recommendations for stakeholders.

Own end-to-end features across Go backend services and React/TypeScript frontend applications. Design, develop, and debug high-load distributed systems, APIs, integrations, and event-driven services. Use AI coding agents as part of daily development, critically reviewing and verifying generated output. Contribute to architecture decisions, resolve complex production issues, and improve engineering practices for AI-assisted delivery.

Leads engineering managers, software engineering leads, and technical experts across business application development and maintenance. Owns technology roadmaps, architecture, security, SSDLC processes, budgets, delivery standards, and engineering capability development. Partners with business and product leaders on investment decisions and strategy execution, while evaluating emerging technologies and AI trends. Requires extensive IT leadership experience, software development management expertise, architecture awareness, and knowledge of modern enterprise technologies.

Build and evolve Rerun’s open-source viewer, cross-language SDKs, and integrations with Rerun Hub. Develop high-performance interfaces for large-scale multimodal data, optimize workflows across desktop and web, make full-stack architecture decisions, and collaborate with backend, Hub, design, customers, and the open-source community. The role involves UI development, rendering, data handling, infrastructure, real-time applications, visualization, and performance optimization.

Develop business process automation, RPA, and low-code applications for clients using tools such as Oracle APEX, Microsoft Power Platform, UiPath, Python, SQL, and web technologies. Perform business and technical analysis, create documentation, collaborate with clients and development teams, and contribute to internal projects while expanding IT expertise.

Own the full sales cycle for AI compute services, including GPU infrastructure, managed inference, and serverless solutions. Build pipeline, qualify workloads, design solutions with architects, manage enterprise and public-sector sales, lead RFPs and pilots, close complex technical deals, and expand accounts. Develop partner relationships, forecast revenue, maintain CRM discipline, represent the company at events, and provide customer feedback to product and operations teams.

Leads Gainsight’s Product Security function by maturing application security, embedding Secure by Design principles, and overseeing threat modeling and security architecture reviews. The role manages global product security engineers, drives security testing coverage and deployment security gates, leads vulnerability remediation, and partners with Engineering and Product leadership on risk and architecture. The Director will build high-performing teams and programs for a cloud-native, multi-tenant SaaS platform.

Build Comand AI’s presence in Poland by identifying defense opportunities, developing relationships with military and government stakeholders, navigating B2G procurement cycles, and converting operational engagements into pilots and contracts. Translate complex software capabilities into operational value, build a market and pipeline from near zero, and collaborate with product, founders, and field teams across Europe.

Design and maintain ETL/ELT pipelines and data warehouse architecture, analyze and visualize data with SQL/Python/R and BI tools, build machine learning models and A/B tests, and partner with engineering and business teams to deliver data-driven insights for fintech use cases (fraud detection, segmentation, forecasting).

Design and develop computer vision, machine learning, AI, predictive, classification, recommendation, and LLM-based models. Responsibilities include algorithm selection and optimization, data cleaning, feature engineering, model validation, production deployment, and collaboration with clients and internal teams to turn analytical results into actionable insights.