Top Remote Jobs in Poland

Own retention strategy, revenue targets, and lifecycle roadmaps for complex Shopify brand accounts. Manage client relationships, develop advanced campaigns, interpret performance data, lead onboarding, review work, and mentor junior retention managers and marketers. The role focuses on high-value account strategy, full-funnel retention, client leadership, and continuous improvement in lifecycle marketing.

Build and enhance RAG systems, AI components, backend services, data pipelines, and REST APIs under senior guidance. Write production code, tests, evaluation harnesses, documentation, and runbooks. Support AWS deployment, containerization, CI/CD, model evaluation, monitoring, and failure-mode investigation. The role offers increasing ownership of architecture, technical decisions, and client delivery across distributed teams.

Consultant will accelerate an existing Microsoft Purview Unified Catalog implementation for a real estate and housing client. Responsibilities include scanning data warehouses, CRM, and source systems; organizing governance domains, assets, glossary terms, ownership, and stewardship; managing metadata, lineage, and classifications including PII; and collaborating with business and technical stakeholders to improve catalogue quality and usability. The engagement is approximately 6–8 weeks and requires independent delivery from day one.

Manage customer accounts and drive revenue growth for Leica Biosystems products across an assigned Polish territory. Develop account plans, identify opportunities, conduct consultative sales activities, manage tenders and negotiations, close deals, maintain customer relationships, and use CRM tools for forecasting and pipeline management. The role requires extensive travel, medical-industry account management experience, fluent English, and a valid driver's license.

Own the product strategy, roadmap, commercial performance, and operational reliability of a multi-market messaging and verification stack. Responsibilities include managing CPaaS and messaging providers, negotiating contracts, optimizing routing and costs, improving deliverability and verification completion, overseeing supplier performance, forecasting spend, coordinating incident response, and ensuring compliance across emerging African markets.

Develop machine learning and analytics solutions using large-scale datasets. Responsibilities include feature engineering, predictive modeling, workflow optimization, customer implementations, production deployments, stakeholder collaboration, technical training, and resolving data-related challenges. The role requires Python, PySpark, machine learning pipelines, MLflow or Airflow, statistical modeling, and strong communication skills, with preferred experience in fraud detection, risk analytics, compliance, cloud environments, and model monitoring.

Leads accounting, financial reporting, governance, controls, reconciliations, audits, and consolidation for logistics operations across four Central European countries. Ensures IFRS and local statutory compliance, supports month-end and year-end close, resolves intercompany issues, and drives finance transformation. Oversees Oracle FCCS optimization, reporting automation, process standardization, and business intelligence improvements while partnering with local and group finance teams.

Leads German payroll operations and provides functional and technical support for payroll delivery, implementations, client escalations, legislation updates, year-end processing, issue resolution, automation, compliance, and continuous improvement. The role also supports sales, manages country solution documentation, coaches team members, monitors service levels, and ensures accurate, timely payroll processing in a global HR outsourcing environment.

Lead a small engineering team building and shipping AI-powered SaaS features. Set technical direction, establish standards for observability, testing, security, scalable architecture, and AI evaluation, while managing delivery timelines and team development. Remain hands-on by designing and implementing production AI systems using LLMs, embeddings, RAG, vector databases, and related tooling. Partner with Product and leadership on prioritization, architecture, resourcing, and risk management.

Own end-to-end technical recruiting across Engineering, Data, AI, and Security. Partner with hiring managers, develop sourcing and talent-mapping strategies, use market data to improve searches, and close candidates in competitive markets. Apply AI to sourcing, screening, research, reporting, and process improvement while advising technical leaders and contributing to better recruiting practices.