Top Remote Jobs in Poland

Supports Eastern European sales teams as a pre-sales solution engineer. Responsibilities include discovering customer requirements, aligning SailPoint solutions, delivering presentations and product demonstrations, supporting RFPs and proof-of-value evaluations, and providing product feedback. The role requires enterprise software pre-sales experience, technical infrastructure knowledge, Polish and English fluency, and expertise in identity governance and access management. Permanent residence in Poland and 10–15% travel are required.

Owns global buying channel enablement for indirect procurement by analyzing catalogue penetration, diagnosing adoption barriers, influencing sourcing and regional teams, selecting and activating Coupa channels, driving user adoption, maintaining improvement roadmaps, and reporting progress through dashboards and KPIs. The role requires procurement experience, P2P platform expertise, data analytics, and the ability to influence stakeholders in a matrixed organization.

Leads customer-focused design, development, deployment, and optimization of AI/ML solutions using Rovo. Architects integrations with APIs, microservices, and enterprise systems; manages production monitoring, evaluation, risk, privacy, and compliance. Influences product direction, aligns technical solutions with business goals, mentors engineers, and communicates with technical and non-technical stakeholders. The role requires extensive backend engineering and applied AI experience, including generative AI, LLMs, agent frameworks, and forward-deployed product development.

Lead and grow GitLab’s Trusted Agentic Development engineering team. Define approaches for validating AI-generated software, improve agent feedback loops, support language-aware validation across Rust, Ruby, and Go, and drive adoption through useful platform capabilities. Partner with engineering teams, measure trust and usage, guide architecture and design, hire and develop engineers, manage performance, and lead complex work from planning through completion in a remote, asynchronous environment.

Experienced Business Analyst supporting Market Risk Platforms. Responsibilities include gathering requirements, analyzing and automating risk reporting processes with Python, reconciling large datasets, identifying data quality issues, defining functional requirements, supporting UAT, investigating defects, and ensuring controls, auditability, and operational resilience. The role partners with Market Risk, Technology, Data, Product Owners, developers, and clients in a hybrid Poland-based B2B engagement.

Develop and maintain performant web applications using Angular and TypeScript. Provide technical leadership, mentor engineers, conduct code reviews, improve code quality and scalability, and collaborate with backend, design, product, QA, and other engineering teams. Own frontend delivery for roadmap projects, contribute to technical planning and Agile processes, and drive initiatives such as technical debt reduction, performance improvements, and system enhancements.

Own quarterly engineering goals for the Recoveries team, delivering scalable backend systems that maximize charged-off loan recovery and reconcile partner discrepancies. Lead engineers through ambiguous problems, collaborate with product, design, analytics, and risk stakeholders, and ensure operational reliability through metrics, monitoring, on-call support, and failure handling. Establish quality standards, guide technical design and implementation, contribute to large codebases, and mentor engineers through feedback and technical leadership.

Lead design and implement agentic AI systems: integrate services and models, optimize and fine-tune LLMs (LoRA/QLoRA), build datasets and evaluations, run experiments to improve reliability, cost, and latency for production workflows.

Develop and maintain automated test suites and frameworks for large-scale data processing systems. Test products across the development lifecycle, improve application efficiency and stability, monitor QA CI pipelines, support continuous delivery, troubleshoot complex issues, perform root-cause analysis, and improve test coverage. Collaborate with engineers and QA teams while owning processes, workflows, and components.

Build and operate backend-first, distributed platform services powering APIs, integrations, eventing, and analytical data systems to enable AI agents and enterprise-scale agentic workflows. Design for high throughput, reliability, security, and observability; apply AI-assisted engineering tools; mentor engineers and influence architecture, tooling, and developer experience.