Top Tech Jobs & Startup Jobs in Poland

Coordinates customer shipments and deliveries, monitors inventory and logistics systems, prepares shipping and sales documentation, communicates with customers and carriers, verifies logistics invoices, arranges transportation orders, and manages customer-owned packaging. The role also reports order fulfillment status, coordinates warehouse dispatch plans, schedules transport arrivals, and collaborates with internal departments, security, warehouse teams, and logistics providers.

Owns commercial account plans and sales opportunities for network and IT solutions. Manages pipelines, quotas, margins, win/loss analysis, partner relationships, and executive-level customer engagement. Coordinates presales and specialist resources, assesses solution feasibility, develops proposals, negotiates value, and translates customer business needs into technology solutions. Requires account management experience, IT acumen, product specialty knowledge, and typically 3–5 years of experience.

Drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, machine learning, NLP, LLM applications, and classifier implementation. Build growth metrics, monitoring pipelines, evaluation datasets, and AI trigger systems across search and Duck.ai. Analyze privacy-constrained data, deploy production-grade models, optimize SQL queries, and lead complex projects from scoping through production with minimal direction.

Conduct KYC and AML due diligence for new and existing financial institution clients, verifying accurate and compliant information. Collaborate with global internal teams and external clients, coordinate case prioritization, manage risks, and support regulatory changes. Identify process improvements, contribute to automation and governance initiatives, resolve issues, and maintain high-quality client data while meeting service deadlines.

Designs, deploys, and operates highly available, secure, multi-region cloud platforms. Responsibilities include managing AWS and Kubernetes services, automating production operations, improving reliability and scalability, participating in 24x7 incident response, and developing tooling for deployment, testing, failure recovery, and platform security. The role collaborates with application engineering teams and requires Linux administration, Python or Go development, container security, and CI/CD automation experience.

Manages a portfolio of high-value global accounts, leading end-to-end collections, resolving overdue balances and disputes, and partnering with Sales, Customer Success, Legal, and Deal Desk. Maintains forecasts, aging reports, and cash application records; escalates high-risk accounts; improves DSO and bad debt outcomes; uses Oracle and Tesorio; and supports accounts receivable month-end and quarter-end close processes.

Manage enterprise advertising clients from onboarding through ongoing campaign optimization. Build multi-level relationships with agencies and brands, monitor performance data, troubleshoot and scale campaigns, set expectations, and collaborate with Sales, Product, and Support teams. The role requires at least five years of client-facing performance marketing experience, fluent Polish and professional English, technical campaign-management comfort, and strong enterprise relationship skills.

Performs system testing across capacity, maintainability, robustness, and stability for Ericsson core products. Investigates and troubleshoots issues, collaborates on test environment and process improvements, and supports software quality assurance. Requires knowledge of IP networking, Unix/Linux, Git, testing processes, Agile methodologies, and preferably Docker, Kubernetes, and telecommunications systems.

Build and lead production LLM systems, including agentic workflows, content enrichment, retrieval, semantic search, evaluation, observability, and safety guardrails. Own architecture decisions across model selection, prompting, fine-tuning, latency, cost, and quality. Partner with Product and UX to ship AI features, mentor engineers, lead technical reviews, and establish reusable LLM development practices.

Serve as a strategic People Business Partner for Data and Product leaders, owning organizational design, workforce planning, talent reviews, performance management, change management, and employee relations. Advise leaders on complex performance cases, exits, investigations, and employment matters across multiple EMEA jurisdictions. Drive people processes, partner with Centers of Excellence, support employee relations initiatives, and use AI-enabled tools to improve productivity and scalability in a fully remote environment.