Top Remote Jobs in Warsaw

Lead a team of five QA engineers and own quality strategy across NedGraphics and Optitex products. Transform QA into an automation-first, AI-enabled function, establish quality standards and release gates, expand desktop test automation, reduce manual regression testing, and contribute hands-on to test design and defect analysis. Develop team members, collaborate with engineering and product leaders, and deliver measurable process improvements across globally distributed teams.

Lead the company’s ML/AI platform from experimentation through production, including SageMaker training infrastructure, model serving, inference pipelines, MLOps, and Java microservice integrations. Set AI/ML technical direction, develop GenAI and LLM retrieval and agent architectures, establish evaluation and safety guardrails, and partner with data science, DevOps, product, and engineering leadership on scalable ML roadmaps.

The Sales Manager will lead B2B sales initiatives for custom signage products, consulting clients, managing the sales cycle, and building long-term relationships across Europe.

Manage customer relationships, provide training, implement marketing strategies, and support equipment testing for a trenchless technology company.

Brainly invites interested candidates to submit their CV and skills for potential future openings as the company continues to grow and adapt quickly.

The Senior Infrastructure Engineer will own the cloud stack, enhance observability, architect browser cloud infrastructure, debug operational issues, and mentor other engineers, while managing multiple production workloads at scale.

As a Procurement Manager, you will develop and implement procurement strategies, lead tender processes, negotiate contracts, and ensure compliance with client policies, all while maximizing value and minimizing risks for renewable energy projects.

Lead technical pre-sales in Poland to build Arctic Wolf market presence: deliver demos, POVs, discovery, solution design, and channel enablement. Drive new-business acquisition, mentor hires, document customer environments, and represent Arctic Wolf at events to secure technical wins across the buyer journey.

Design and maintain data warehouse systems, develop ETL pipelines, manage datasets for analytics, and implement real-time data solutions.

As a Product Engineer, you will work directly with clients to build AI-powered solutions, leveraging backend and full-stack capabilities. You must integrate LLM APIs and utilize AI tools regularly in your engineering process.