Top Remote Jobs in Poland

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.

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.

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.

Define and govern end-to-end architectures for telecom and enterprise digital transformation programs. Design OSS/BSS, cloud, network, integration, and cloud-native solutions; support pre-sales workshops, RFPs, proofs of concept, and estimation. Produce architecture artifacts, guide legacy modernization, ensure performance, security, resilience, and scalability, and provide delivery governance. Engage executive and technical stakeholders, mentor architects and engineers, and contribute customer insights to product roadmaps.

Lead architecture and implementation of scalable full-stack features using NestJS and Next.js, integrate LangChain-driven AI, manage PostgreSQL schemas and performance, build responsive UIs with Tailwind CSS, implement authentication with Clerk, and ensure reliability with Puppeteer-based testing and automation.

Manage strategic pharma and enterprise accounts by leading renewals, identifying upsell opportunities, building executive relationships, and strengthening long-term partnerships. Collaborate with delivery and growth teams, provide life sciences market insights, and represent the company with senior client stakeholders. The role is fully remote and requires travel within the EU and USA for key meetings and industry events.

Owns the product vision, roadmap, and backlog for SimCorp’s Portfolio Management capabilities. Translates portfolio manager workflows into software increments, leads prioritization for scrum teams, collaborates with engineering and design, and validates priorities using client feedback and usage data. The role requires strong understanding of portfolio management, portfolio construction, risk analysis, rebalancing, order execution, enterprise software, and agile delivery.

Build and operate scalable systems for an editorial messaging platform, including messaging pipelines, notifications, email systems, platform orchestration, observability, and multi-region infrastructure. Make architectural decisions, lead deployments, optimize performance and costs, improve developer tooling, and participate in on-call rotations.

Lead strategy and execution for the eSIM Remote SIM Provisioning product portfolio. Own the roadmap, requirements, backlog, release scope, acceptance criteria, and trade-offs across consumer and M2M RSP capabilities. Translate GSMA standards and customer needs into scalable platform features while partnering with engineering, security, architecture, operations, and commercial teams. Drive compliance, reliability, lifecycle performance, and go-to-market readiness for telecom products.

Build, deploy, monitor, and improve production machine learning systems for customer and revenue use cases. Develop scalable data and ML pipelines, work with structured and unstructured data, apply modern ML and LLM techniques, and ensure model reliability through testing and validation. Collaborate with data engineers, product managers, and business stakeholders to deliver end-to-end solutions that improve business outcomes.