customer service English-speaking jobs in Zabrze

Manage billing and invoicing activities for M&A, ECM, and DCM transactions. Collaborate with clients, vendors, and internal teams to ensure smooth operations. Track receivables, address unbilled expenses, and monitor funds flow.

Provide outstanding service to corporate business clients by advising and arranging travel, educating on travel options, and ensuring compliance with travel policies.

In this role, you will join our growing Automation Team. You'll be involved in three main areas: 1. Enhancing clients' existing systems 2. Building new systems based on existing solutions 3. Creating entirely new systems or products A thorough understanding of the client's technical environment and the ability to propose comprehensive solutions are essential.

Architect - Messaging & Collaboration will design, develop, and implement enterprise-grade Microsoft 365 solutions. Responsibilities include leading technical discussions, designing migration strategies, and creating architecture documentation. Requires strong experience with Microsoft 365, Exchange Online & On-Premises, Azure, PowerShell, and hybrid infrastructure.

Support the delivery of global technology and data collection projects. Coordinate project planning, execution, and reporting. Assist in defining project scope, timelines, and deliverables.

Staff Site Reliability Engineer to lead technical initiatives, optimize CI/CD pipelines, and automate infrastructure provisioning. Requires expertise in CI/CD tools (Argo, Codefresh), IaC (Terraform), Docker, Kubernetes, Istio, and AWS. Strong communication and mentorship skills are essential.

The Nencki Institute of Experimental Biology seeks a PhD student with a Master's degree in a relevant field. The successful candidate will conduct research and participate in international conferences and exchange programs.

Lead a team of customer success managers driving Azure service consumption. Coach, mentor, and monitor team performance, collaborating with sales, marketing, and product teams. Requires 5+ years sales/customer success experience, 2+ years managing teams, and strong Azure knowledge.

Lead the evolution of our code quality framework, defining and advocating for top-tier coding principles and architectural best practices. Drive the implementation and optimization of SonarQube and partner with architects to integrate quality into the CI/CD process.

Lead and develop data and analytics engineering teams to deliver scalable, reliable solutions for commercial decision-making across sales, marketing, pricing, and customer engagement. Scale engineering capabilities to support diverse commercial use cases and drive technical standards by establishing best practices. Collaborate with platform teams to align commercial data solutions with enterprise architecture. Manage team delivery, translating complex requirements into reliable analytics layers and insight products. Champion engineering craftsmanship by reviewing technical designs and guiding the team toward maintainable, cost-efficient, and scalable architectural decisions.

Security Operations Engineer to monitor, detect, and respond to threats. Responsibilities include SIEM operations, incident response, vulnerability remediation, and security documentation. Requires 2+ years of experience in security operations, SIEM platforms, EDR tools, vulnerability scanning, and cloud security controls.

Data Science Engineer to design and implement optimization solutions for planning scenarios. Requires 5+ years of experience in applied Data Science, Machine Learning, or optimization-focused software engineering. Strong Python skills and experience with optimization tools are essential.

Support engineering design, simulations, and technical offer preparation for robotic solutions. Analyze customer inquiries, create 2D/3D layouts, and participate in developing functional specifications.

Principal Software Engineer to design and build AI-powered application security solutions. Develop backend systems, leverage AI agents across the development lifecycle, and drive independent research in a fast-evolving domain. Requires 10+ years of backend software engineering experience, 3+ years in a technical leadership role, and strong experience building end-to-end systems.

Netguru seeks freelance post-editors for AI-generated content in Romanian, Polish, Ukrainian, Portuguese, or English. Must have familiarity with Translation Management Systems (TMS) and experience collaborating with product teams.

Senior Growth Engineer / Performance Marketing Specialist to drive B2B SaaS demand generation, lead generation, and trial acquisition. Hands-on role combining performance marketing, CRO, and content creation. Focus on scaling trial acquisition, lead generation, and optimizing conversion funnels. Requires 5+ years of experience in B2B SaaS growth, demand generation, or performance marketing with a proven track record of driving free trials, signups, and qualified pipeline. Strong technical understanding of tracking systems, attribution models, and funnel analysis is essential.

Senior ML Engineer will design and implement document intelligence pipelines on AWS, develop and optimize ML models for document processing, and build scalable data processing systems.

Senior Customer Success Manager will own and grow high-value enterprise customer relationships, driving long-term value through expansion, retention, and migration support. Responsibilities include developing account plans, leading value-driven conversations, and building strategic advisor relationships. Requires 5+ years of experience in enterprise customer success, account management, or sales in a SaaS environment with channel sales exposure.

Communicate the value of software products to clients, deliver presentations, and support Proof of Concept processes. Provide technical training and resolve customer inquiries. Build relationships with clients and partners, and monitor technical communication.

Define and manage the Data Platform roadmap, prioritizing and maintaining the backlog in an Agile environment. Collaborate with business analysts, ML teams, and other Product Owners to understand data requirements and use cases. Ensure high data quality, reliability, and accessibility. Drive adoption of Cloud Lakehouse technologies and best practices.