Top Remote Jobs in Poland

Lead and unify Marketing, SDR, Sales Enablement, and RevOps into a single scalable GTM system. Drive positioning, demand generation, pipeline hygiene, forecasting, enablement, comp design, and GTM architecture across regions to produce predictable, compounding revenue for a technical B2B payments platform.

Design, build, and operate an AWS- and Kubernetes-centered cloud platform. Scale clusters and services, shape architecture, drive automation and best practices, and collaborate with product teams to deliver cloud-native applications into production.

Lead a team to develop AI-driven user interfaces and microservices, ensuring best practices in software engineering and collaborating with cross-functional teams.

Lead a small cross-functional product unit owning roadmap and a primary business metric. Drive hands-on product work (specs, flows, design), analyze cohorts and monetization metrics, run full build-measure-iterate loops, and incorporate UA economics into product decisions to scale engagement and revenue.

Deliver and install robotics hardware and software in warehouse sites across Europe. Perform system assembly, configuration, calibration, on-site debugging, and customer-facing technical coordination. Produce and maintain deployment and troubleshooting documentation and communicate with customers and internal teams to resolve technical issues.

Lead end-to-end HRIS implementations: plan, manage scope/schedule/budget, gather requirements, coordinate vendors, drive data migration/integrations and UAT, execute change management and training, and manage post-go-live stabilization and reporting.

Seeking a Senior Backend Engineer with expertise in .NET, C#, and Azure DevOps to work on client projects in a collaborative environment.

Own and grow strategic logistics accounts, develop expansion strategies, act as primary client contact, coordinate with operations to deliver tailored supply-chain solutions, prepare proposals and market analyses, and achieve sales and revenue targets.

As a Distributed Systems Engineer, you'll design and evolve LiveKit's core systems, implement resilient architectures, and enhance reliability and developer velocity, working on critical features in production environments.

Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and model release gates. Run end-to-end training experiments, select open-weight models, improve tool-using and multi-turn behavior, deploy models to production, and iterate using real-world usage. The role emphasizes Python engineering, reinforcement learning, GPU-based training, data quality, reward design, and production machine learning.